Ajay Kumar Verma

Personal Details

First Name:	Ajay
Middle Name:	Kumar
Last Name:	Verma
Suffix:
RePEc Short-ID:	pve538
	[This author has chosen not to make the email address public]

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

Sorry, no citations of working papers recorded.

Articles

1. Shruti Sachdeva & Tarunpreet Bhatia & A. K. Verma, 2018. "GIS-based evolutionary optimized Gradient Boosted Decision Trees for forest fire susceptibility mapping," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 92(3), pages 1399-1418, July.

   Cited by:

   1. Jones, Sara Sharon & Matsala, Maksym & Delin, Emily Viola & Subramanian, Narayanan & Nilsson, Urban & Holmström, Emma & Drobyshev, Igor, 2025. "Forest structure, roads and soil moisture provide realistic predictions of fire spread in modern Swedish landscape," Ecological Modelling, Elsevier, vol. 499(C).
   2. Maryamsadat Hosseini & Samsung Lim, 2022. "Gene expression programming and data mining methods for bushfire susceptibility mapping in New South Wales, Australia," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 113(2), pages 1349-1365, September.
   3. Mohamad Khoirun Najib & Sri Nurdiati & Ardhasena Sopaheluwakan, 2022. "Multivariate fire risk models using copula regression in Kalimantan, Indonesia," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 113(2), pages 1263-1283, September.
   4. Osama Ashraf Mohammed & Sasan Vafaei & Mehdi Mirzaei Kurdalivand & Sabri Rasooli & Chaolong Yao & Tongxin Hu, 2022. "A Comparative Study of Forest Fire Mapping Using GIS-Based Data Mining Approaches in Western Iran," Sustainability, MDPI, vol. 14(20), pages 1-13, October.
   5. Ghafar Salavati & Ebrahim Saniei & Ebrahim Ghaderpour & Quazi K. Hassan, 2022. "Wildfire Risk Forecasting Using Weights of Evidence and Statistical Index Models," Sustainability, MDPI, vol. 14(7), pages 1-15, March.
   6. Farzaneh Noroozi & Gholamabbas Ghanbarian & Roja Safaeian & Hamid Reza Pourghasemi, 2024. "Forest fire mapping: a comparison between GIS-based random forest and Bayesian models," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 120(7), pages 6569-6592, May.
   7. Wenjuan Sun & Paolo Bocchini & Brian D. Davison, 2020. "Applications of artificial intelligence for disaster management," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 103(3), pages 2631-2689, September.
   8. Dingli Liu & Zhisheng Xu & Chuangang Fan, 2019. "Predictive analysis of fire frequency based on daily temperatures," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 97(3), pages 1175-1189, July.
   9. Weizhang Liang & Suizhi Luo & Guoyan Zhao & Hao Wu, 2020. "Predicting Hard Rock Pillar Stability Using GBDT, XGBoost, and LightGBM Algorithms," Mathematics, MDPI, vol. 8(5), pages 1-17, May.
   10. Rufai Yusuf Zakari & Owais Ahmed Malik & Ong Wee-Hong, 2025. "Machine learning-driven wildfire susceptibility mapping in New South Wales, Australia using remote sensing and explainable artificial intelligence," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 121(13), pages 15331-15357, July.
   11. João António Zeferino, 2020. "Optimizing the location of aerial resources to combat wildfires: a case study of Portugal," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 100(3), pages 1195-1213, February.
   12. Kübra Yazici & Alev Taskin, 2023. "A comparative Bayesian optimization-based machine learning and artificial neural networks approach for burned area prediction in forest fires: an application in Turkey," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 119(3), pages 1883-1912, December.
   13. Naderpour, Mohsen & Rizeei, Hossein Mojaddadi & Khakzad, Nima & Pradhan, Biswajeet, 2019. "Forest fire induced Natech risk assessment: A survey of geospatial technologies," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
   14. Ricci, Federica & Misuri, Alessio & Scarponi, Giordano Emrys & Cozzani, Valerio & Demichela, Micaela, 2024. "Vulnerability Assessment of Industrial Sites to Interface Fires and Wildfires," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
   15. Sarkawt G. Salar & Arsalan Ahmed Othman & Sabri Rasooli & Salahalddin S. Ali & Zaid T. Al-Attar & Veraldo Liesenberg, 2022. "GIS-Based Modeling for Vegetated Land Fire Prediction in Qaradagh Area, Kurdistan Region, Iraq," Sustainability, MDPI, vol. 14(10), pages 1-31, May.
   16. Polash Banerjee, 2022. "MODIS-FIRMS and ground-truthing-based wildfire likelihood mapping of Sikkim Himalaya using machine learning algorithms," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 110(2), pages 899-935, January.

2. Anurag Agarwal & Ajay Verma & Rajiv Kumar Agarwal, 2016. "Factors Influencing the Individual Investor Decision Making Behavior in India," Journal of Applied Management and Investments, Department of Business Administration and Corporate Security, International Humanitarian University, vol. 5(4), pages 211-222, November.

   Cited by:

   1. Pallavi Dogra & Arun Kaushal & Prateek Kalia, 2024. "What drives the investment intentions of emerging economy millennials? Examining the effect of financial advertisement with the PLS-SEM," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 29(2), pages 276-291, June.
   2. Andrea Krýslová, 2018. "Development of Changes in Corporate Governance Considering Its Non-Financial Factors through the Companies´ and Investors´ Lens," Journal of Applied Management and Investments, Department of Business Administration and Corporate Security, International Humanitarian University, vol. 7(4), pages 225-235, November.
   3. Suresh G., 2024. "Impact of Financial Literacy and Behavioural Biases on Investment Decision-making," FIIB Business Review, , vol. 13(1), pages 72-86, January.

3. Imran Khan, Douzi & Virtanen, Seppo & Bonnal, Pierre & Verma, A.K, 2014. "Functional failure modes cause-consequence logic suited for mobile robots used at scientific facilities," Reliability Engineering and System Safety, Elsevier, vol. 129(C), pages 10-18.

   Cited by:

   1. Penttinen, Jussi-Pekka & Niemi, Arto & Gutleber, Johannes & Koskinen, Kari T. & Coatanéa, Eric & Laitinen, Jouko, 2019. "An open modelling approach for availability and reliability of systems," Reliability Engineering and System Safety, Elsevier, vol. 183(C), pages 387-399.
   2. Lilli, Giordano & Sanavia, Matteo & Oboe, Roberto & Vianello, Chiara & Manzolaro, Mattia & De Ruvo, Pasquale Luca & Andrighetto, Alberto, 2024. "A semi-quantitative risk assessment of remote handling operations on the SPES Front-End based on HAZOP-LOPA," Reliability Engineering and System Safety, Elsevier, vol. 241(C).

4. Sourav Chakraborty & Ajay Baksi & A K Verma, 2012. "Rural Infrastructure Availability And Wellbeing," Journal of Regional Development and Planning, Rajarshi Majumder, vol. 1(2), pages 169-179.

   Cited by:

   1. Tattwamasi Paltasingh & Gayatri Paliwal, 2014. "Tribal Population in India: Regional Dimensions & Imperatives," Journal of Regional Development and Planning, Rajarshi Majumder, vol. 3(2), pages 27-36.
   2. Aalok Ranjan Chaurasia, 2018. "The State of Development in Villages of India: An Analysis of the 2011 Census Data," Indian Journal of Human Development, , vol. 12(3), pages 305-325, December.

5. Verma, A.K. & Gupta, S.K. & Isaac, R.K., 2012. "Use of saline water for irrigation in monsoon climate and deep water table regions: Simulation modeling with SWAP," Agricultural Water Management, Elsevier, vol. 115(C), pages 186-193.

   Cited by:

   1. Farhadi Machekposhti, Mabood & Shahnazari, Ali & Z. Ahmadi, Mirkhalegh & Aghajani, Ghasem & Ritzema, Henk, 2017. "Effect of irrigation with sea water on soil salinity and yield of oleic sunflower," Agricultural Water Management, Elsevier, vol. 188(C), pages 69-78.
   2. Wang, Xiangping & Liu, Guangming & Yang, Jingsong & Huang, Guanhua & Yao, Rongjiang, 2017. "Evaluating the effects of irrigation water salinity on water movement, crop yield and water use efficiency by means of a coupled hydrologic/crop growth model," Agricultural Water Management, Elsevier, vol. 185(C), pages 13-26.
   3. Hassanli, Mohammad & Ebrahimian, Hamed & Mohammadi, Ehsan & Rahimi, Amirreza & Shokouhi, Amirhossein, 2016. "Simulating maize yields when irrigating with saline water, using the AquaCrop, SALTMED, and SWAP models," Agricultural Water Management, Elsevier, vol. 176(C), pages 91-99.
   4. Liu, Bingxia & Wang, Shiqin & Kong, Xiaole & Liu, Xiaojing & Sun, Hongyong, 2019. "Modeling and assessing feasibility of long-term brackish water irrigation in vertically homogeneous and heterogeneous cultivated lowland in the North China Plain," Agricultural Water Management, Elsevier, vol. 211(C), pages 98-110.
   5. Chengfu Yuan & Shaoyuan Feng & Zailin Huo & Quanyi Ji, 2019. "Simulation of Saline Water Irrigation for Seed Maize in Arid Northwest China Based on SWAP Model," Sustainability, MDPI, vol. 11(16), pages 1-14, August.
   6. Yu, Qihua & Kang, Shaozhong & Hu, Shunjun & Zhang, Lu & Zhang, Xiaotao, 2021. "Modeling soil water-salt dynamics and crop response under severely saline condition using WAVES: Searching for a target irrigation volume for saline water irrigation," Agricultural Water Management, Elsevier, vol. 256(C).
   7. Liu, Yi & Zeng, Wenzhi & Ao, Chang & Lei, Guoqing & Wu, Jingwei & Huang, Jiesheng & Gaiser, Thomas & Srivastava, Amit Kumar, 2022. "Optimization of winter irrigation management for salinized farmland using a coupled model of soil water flow and crop growth," Agricultural Water Management, Elsevier, vol. 270(C).
   8. Libutti, Angela & Monteleone, Massimo, 2017. "Soil vs. groundwater: The quality dilemma. Managing nitrogen leaching and salinity control under irrigated agriculture in Mediterranean conditions," Agricultural Water Management, Elsevier, vol. 186(C), pages 40-50.
   9. Yu, Qihua & Wang, Feng & Zou, Minzhong & Ji, Shasha & Li, Mingfa & Kang, Shaozhong, 2024. "Quantifying the spatial water salinity threshold of saline water irrigation by applying distributed WAVES model," Agricultural Systems, Elsevier, vol. 214(C).
   10. Xu, Xu & Huang, Guanhua & Sun, Chen & Pereira, Luis S. & Ramos, Tiago B. & Huang, Quanzhong & Hao, Yuanyuan, 2013. "Assessing the effects of water table depth on water use, soil salinity and wheat yield: Searching for a target depth for irrigated areas in the upper Yellow River basin," Agricultural Water Management, Elsevier, vol. 125(C), pages 46-60.
   11. Wang, Qingming & Huo, Zailin & Zhang, Liudong & Wang, Jianhua & Zhao, Yong, 2016. "Impact of saline water irrigation on water use efficiency and soil salt accumulation for spring maize in arid regions of China," Agricultural Water Management, Elsevier, vol. 163(C), pages 125-138.
   12. Dong, Liming & Lei, Guoqing & Huang, Jiesheng & Zeng, Wenzhi, 2023. "Improving crop modeling in saline soils by predicting root length density dynamics with machine learning algorithms," Agricultural Water Management, Elsevier, vol. 287(C).
   13. Kumar, P. & Sarangi, A. & Singh, D.K. & Parihar, S.S. & Sahoo, R.N., 2015. "Simulation of salt dynamics in the root zone and yield of wheat crop under irrigated saline regimes using SWAP model," Agricultural Water Management, Elsevier, vol. 148(C), pages 72-83.
   14. Wang, Xiangping & Yang, Jingsong & Liu, Guangming & Yao, Rongjiang & Yu, Shipeng, 2015. "Impact of irrigation volume and water salinity on winter wheat productivity and soil salinity distribution," Agricultural Water Management, Elsevier, vol. 149(C), pages 44-54.
   15. Pinto, Victor Meriguetti & Reichardt, Klaus & van Dam, Jos & Lier, Quirijn de Jong van & Bruno, Isabeli Pereira & Durigon, Angelica & Dourado-Neto, Durval & Bortolotto, Rafael Pivotto, 2015. "Deep drainage modeling for a fertigated coffee plantation in the Brazilian savanna," Agricultural Water Management, Elsevier, vol. 148(C), pages 130-140.
   16. Liu, Zimeng & Gao, Congshuai & Yan, Zongzheng & Shao, Liwei & Chen, Suying & Niu, Junfang & Zhang, Xiying, 2024. "Effects of long-term saline water irrigation on soil salinity and crop production of winter wheat-maize cropping system in the North China Plain: A case study," Agricultural Water Management, Elsevier, vol. 303(C).
   17. Dokoohaki, Hamze & Gheysari, Mahdi & Mousavi, Sayed-Farhad & Zand-Parsa, Shahrokh & Miguez, Fernando E. & Archontoulis, Sotirios V. & Hoogenboom, Gerrit, 2016. "Coupling and testing a new soil water module in DSSAT CERES-Maize model for maize production under semi-arid condition," Agricultural Water Management, Elsevier, vol. 163(C), pages 90-99.
   18. Genxiang Feng & Zhanyu Zhang & Zemin Zhang, 2019. "Evaluating the Sustainable Use of Saline Water Irrigation on Soil Water-Salt Content and Grain Yield under Subsurface Drainage Condition," Sustainability, MDPI, vol. 11(22), pages 1-18, November.

6. Durga Rao, K. & Gopika, V. & Sanyasi Rao, V.V.S. & Kushwaha, H.S. & Verma, A.K. & Srividya, A., 2009. "Dynamic fault tree analysis using Monte Carlo simulation in probabilistic safety assessment," Reliability Engineering and System Safety, Elsevier, vol. 94(4), pages 872-883.

   Cited by:

   1. Favarò, Francesca M. & Saleh, Joseph H., 2016. "Toward risk assessment 2.0: Safety supervisory control and model-based hazard monitoring for risk-informed safety interventions," Reliability Engineering and System Safety, Elsevier, vol. 152(C), pages 316-330.
   2. Lindhe, Andreas & Norberg, Tommy & Rosén, Lars, 2012. "Approximate dynamic fault tree calculations for modelling water supply risks," Reliability Engineering and System Safety, Elsevier, vol. 106(C), pages 61-71.
   3. Liu, Mingyuan & He, Wei & Ma, Ning & Zhu, Hailong & Zhou, Guohui, 2025. "A new reliability health status assessment model for complex systems based on belief rule base," Reliability Engineering and System Safety, Elsevier, vol. 254(PA).
   4. Haiyue Yu & Xiaoyue Wu, 2021. "A method for transformation from dynamic fault tree to binary decision diagram," Journal of Risk and Reliability, , vol. 235(3), pages 416-430, June.
   5. Jenab, K. & Sarfaraz, A. & Dhillon, B.S. & Seyed Hosseini, S.M., 2012. "Dynamic MLD analysis with flow graphs," Reliability Engineering and System Safety, Elsevier, vol. 106(C), pages 80-85.
   6. Alsulieman, Abdullah & Ge, Xihe & Zeng, Zhiguo & Butenko, Sergiy & Khan, Faisal & El-Halwagi, Mahmoud, 2024. "Dynamic risk analysis of evolving scenarios in oil and gas separator," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
   7. Levitin, Gregory & Xing, Liudong & Dai, Yuanshun, 2018. "Heterogeneous 1-out-of-N warm standby systems with online checkpointing," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 127-136.
   8. Nguyen, T.P. Khanh & Beugin, Julie & Marais, Juliette, 2015. "Method for evaluating an extended Fault Tree to analyse the dependability of complex systems: Application to a satellite-based railway system," Reliability Engineering and System Safety, Elsevier, vol. 133(C), pages 300-313.
   9. Azeem Ali & Sanku Dey & Haseeb Ur Rehman & Zeeshan Ali, 2019. "On Bayesian reliability estimation of a 1-out-of-k load sharing system model of modified Burr-III distribution," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 10(5), pages 1052-1081, October.
   10. Chen, Chao & Khakzad, Nima & Reniers, Genserik, 2020. "Dynamic vulnerability assessment of process plants with respect to vapor cloud explosions," Reliability Engineering and System Safety, Elsevier, vol. 200(C).
   11. Yan-Feng Li & Jinhua Mi & Yu Liu & Yuan-Jian Yang & Hong-Zhong Huang, 2015. "Dynamic fault tree analysis based on continuous-time Bayesian networks under fuzzy numbers," Journal of Risk and Reliability, , vol. 229(6), pages 530-541, December.
   12. Ning Wang & Hailun Zhang & Ruoning Lv & Yangming Guo & Peican Zhu, 2022. "An investigation of reliability optimization in standby systems," Journal of Risk and Reliability, , vol. 236(2), pages 237-247, April.
   13. Gayathri, P. & Umesh, K. & Ganguli, R., 2010. "Effect of matrix cracking and material uncertainty on composite plates," Reliability Engineering and System Safety, Elsevier, vol. 95(7), pages 716-728.
   14. Yaqun, Qi & Ping, Jin & Ruizhi, Li & Sheng, Zhang & Guobiao, Cai, 2020. "Dynamic reliability analysis for the reusable thrust chamber: A multi-failure modes investigation based on coupled thermal-structural analysis," Reliability Engineering and System Safety, Elsevier, vol. 204(C).
   15. Zhang, Yimin & Shortle, John & Sherry, Lance, 2015. "Methodology for collision risk assessment of an airspace flow corridor concept," Reliability Engineering and System Safety, Elsevier, vol. 142(C), pages 444-455.
   16. Chenxi Liu & Nan Chen & Jianing Yang, 2015. "New method for multi-state system reliability analysis based on linear algebraic representation," Journal of Risk and Reliability, , vol. 229(5), pages 469-482, October.
   17. Zhao, Guilin & Xing, Liudong, 2023. "Reliability analysis of body sensor networks with correlated isolation groups," Reliability Engineering and System Safety, Elsevier, vol. 236(C).
   18. Santosh B. Rane & Prathamesh R. Potdar & Suraj Rane, 2019. "Accelerated life testing for reliability improvement: a case study on Moulded Case Circuit Breaker (MCCB) mechanism," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 10(6), pages 1668-1690, December.
   19. Vodopivec, Neža & Miller-Hooks, Elise, 2019. "Transit system resilience: Quantifying the impacts of disruptions on diverse populations," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
   20. Qianwen Li & Ruyin Long & Hong Chen & Jichao Geng, 2017. "Low Purchase Willingness for Battery Electric Vehicles: Analysis and Simulation Based on the Fault Tree Model," Sustainability, MDPI, vol. 9(5), pages 1-20, May.
   21. Janssen, Hans, 2013. "Monte-Carlo based uncertainty analysis: Sampling efficiency and sampling convergence," Reliability Engineering and System Safety, Elsevier, vol. 109(C), pages 123-132.
   22. Mi, Jinhua & Li, Yan-Feng & Yang, Yuan-Jian & Peng, Weiwen & Huang, Hong-Zhong, 2016. "Reliability assessment of complex electromechanical systems under epistemic uncertainty," Reliability Engineering and System Safety, Elsevier, vol. 152(C), pages 1-15.
   23. Lin, Yufei & Chen, Maoyin & Zhou, Donghua, 2013. "Online probabilistic operational safety assessment of multi-mode engineering systems using Bayesian methods," Reliability Engineering and System Safety, Elsevier, vol. 119(C), pages 150-157.
   24. Levitin, Gregory & Finkelstein, Maxim, 2017. "Optimal backup in heterogeneous standby systems exposed to shocks," Reliability Engineering and System Safety, Elsevier, vol. 165(C), pages 336-344.
   25. Gascard, Eric & Simeu-Abazi, Zineb, 2018. "Quantitative Analysis of Dynamic Fault Trees by means of Monte Carlo Simulations: Event-Driven Simulation Approach," Reliability Engineering and System Safety, Elsevier, vol. 180(C), pages 487-504.
   26. Ruijters, Enno & Reijsbergen, Daniël & de Boer, Pieter-Tjerk & Stoelinga, Mariëlle, 2019. "Rare event simulation for dynamic fault trees," Reliability Engineering and System Safety, Elsevier, vol. 186(C), pages 220-231.
   27. Wu, Daohua & Zheng, Wei, 2018. "Formal model-based quantitative safety analysis using timed Coloured Petri Nets," Reliability Engineering and System Safety, Elsevier, vol. 176(C), pages 62-79.
   28. Wu, Shengnan & Zhang, Laibin & Barros, Anne & Zheng, Wenpei & Liu, Yiliu, 2018. "Performance analysis for subsea blind shear ram preventers subject to testing strategies," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 281-298.
   29. Raoni, Rafael & Secchi, Argimiro R., 2019. "Procedures to model and solve probabilistic dynamic system problems," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
   30. Daochuan Ge & Ruoxing Zhang & Qiang Chou & Yanhua Yang, 2015. "Probabilistic model–based multi-integration formulas for quantifying a generalized minimal cut sequence," Journal of Risk and Reliability, , vol. 229(1), pages 73-82, February.
   31. Turati, Pietro & Pedroni, Nicola & Zio, Enrico, 2016. "Advanced RESTART method for the estimation of the probability of failure of highly reliable hybrid dynamic systems," Reliability Engineering and System Safety, Elsevier, vol. 154(C), pages 117-126.
   32. Yılmaz, Emre & German, Brian J. & Pritchett, Amy R., 2023. "Optimizing resource allocations to improve system reliability via the propagation of statistical moments through fault trees," Reliability Engineering and System Safety, Elsevier, vol. 230(C).
   33. Wang, Shaoxuan & Ge, Daochuan & Yong, Nuo & Sun, Ming & Yao, Yuantao & Tao, Longlong & Xia, Dongqin & Wang, Feipeng & Yu, Jie, 2025. "Rapid computation of survival signature for dynamic fault tree based on sequential binary decision diagram and multidimensional array," Reliability Engineering and System Safety, Elsevier, vol. 253(C).
   34. Chiacchio, Ferdinando & Iacono, Alessandra & Compagno, Lucio & D'Urso, Diego, 2020. "A general framework for dependability modelling coupling discrete-event and time-driven simulation," Reliability Engineering and System Safety, Elsevier, vol. 199(C).
   35. Xing, Liudong & Shrestha, Akhilesh & Dai, Yuanshun, 2011. "Exact combinatorial reliability analysis of dynamic systems with sequence-dependent failures," Reliability Engineering and System Safety, Elsevier, vol. 96(10), pages 1375-1385.
   36. Sejin Baek & Gyunyoung Heo, 2021. "Application of Dynamic Fault Tree Analysis to Prioritize Electric Power Systems in Nuclear Power Plants," Energies, MDPI, vol. 14(14), pages 1-17, July.
   37. Feng, Zhichao & Zhou, Zhijie & Hu, Changhua & Ban, Xiaojun & Hu, Guanyu, 2020. "A safety assessment model based on belief rule base with new optimization method," Reliability Engineering and System Safety, Elsevier, vol. 203(C).
   38. Zhao, Guilin & Dai, Yuanshun & Wang, Yujie, 2025. "Competing failure analysis considering random propagation time for phased mission systems in IoT," Reliability Engineering and System Safety, Elsevier, vol. 264(PB).
   39. Xingyu Xiao & Jingang Liang & Jiejuan Tong & Haitao Wang, 2024. "Emergency Decision Support Techniques for Nuclear Power Plants: Current State, Challenges, and Future Trends," Energies, MDPI, vol. 17(10), pages 1-35, May.
   40. Xiaoyu Cui & Shaoping Wang & Tongyang Li & Jian Shi, 2019. "System Reliability Assessment Based on Energy Dissipation: Modeling and Application in Electro-Hydrostatic Actuation System," Energies, MDPI, vol. 12(18), pages 1-22, September.
   41. Zywiec, William J. & Mazzuchi, Thomas A. & Sarkani, Shahram, 2021. "Analysis of process criticality accident risk using a metamodel-driven Bayesian network," Reliability Engineering and System Safety, Elsevier, vol. 207(C).
   42. Bibartiu, Otto & Dürr, Frank & Rothermel, Kurt & Ottenwälder, Beate & Grau, Andreas, 2021. "Scalable k-out-of-n models for dependability analysis with Bayesian networks," Reliability Engineering and System Safety, Elsevier, vol. 210(C).
   43. Sherwin, Michael D. & Medal, Hugh & Lapp, Steven A., 2016. "Proactive cost-effective identification and mitigation of supply delay risks in a low volume high value supply chain using fault-tree analysis," International Journal of Production Economics, Elsevier, vol. 175(C), pages 153-163.
   44. Kai Pan & Hui Liu & Xiaoqing Gou & Rui Huang & Dong Ye & Haining Wang & Adam Glowacz & Jie Kong, 2022. "Towards a Systematic Description of Fault Tree Analysis Studies Using Informetric Mapping," Sustainability, MDPI, vol. 14(18), pages 1-28, September.

7. Kumar, Manoj & Verma, A.K. & Srividya, A., 2008. "Modeling demand rate and imperfect proof-test and analysis of their effect on system safety," Reliability Engineering and System Safety, Elsevier, vol. 93(11), pages 1720-1729.

   Cited by:

   1. Mechri, Walid & Simon, Christophe & BenOthman, Kamel, 2015. "Switching Markov chains for a holistic modeling of SIS unavailability," Reliability Engineering and System Safety, Elsevier, vol. 133(C), pages 212-222.
   2. Florent Brissaud & Anne Barros & Christophe Bérenguer, 2012. "Probability of failure on demand of safety systems: impact of partial test distribution," Journal of Risk and Reliability, , vol. 226(4), pages 426-436, August.
   3. Meng, Huixing & Kloul, Leïla & Rauzy, Antoine, 2018. "Modeling patterns for reliability assessment of safety instrumented systems," Reliability Engineering and System Safety, Elsevier, vol. 180(C), pages 111-123.

8. Durga Rao, K. & Kushwaha, H.S. & Verma, A.K. & Srividya, A., 2007. "Quantification of epistemic and aleatory uncertainties in level-1 probabilistic safety assessment studies," Reliability Engineering and System Safety, Elsevier, vol. 92(7), pages 947-956.

   Cited by:

   1. Wróbel, Krzysztof & Montewka, Jakub & Kujala, Pentti, 2018. "Towards the development of a system-theoretic model for safety assessment of autonomous merchant vessels," Reliability Engineering and System Safety, Elsevier, vol. 178(C), pages 209-224.
   2. Hu, Lunhu & Kang, Rui & Pan, Xing & Zuo, Dujun, 2020. "Risk assessment of uncertain random system—Level-1 and level-2 joint propagation of uncertainty and probability in fault tree analysis," Reliability Engineering and System Safety, Elsevier, vol. 198(C).
   3. Zhenhao Zhang & Changchun Luo & Zhenpeng Zhao, 2020. "Application of probabilistic method in maximum tsunami height prediction considering stochastic seabed topography," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 104(3), pages 2511-2530, December.
   4. Villanueva, D. & Haftka, R.T. & Sankar, B.V., 2014. "Accounting for future redesign to balance performance and development costs," Reliability Engineering and System Safety, Elsevier, vol. 124(C), pages 56-67.
   5. Attar, Peter J. & Vedula, Prakash, 2013. "On convergence of moments in uncertainty quantification based on direct quadrature," Reliability Engineering and System Safety, Elsevier, vol. 111(C), pages 119-125.
   6. Gyun Seob Song & Man Cheol Kim, 2021. "Mathematical Formulation and Analytic Solutions for Uncertainty Analysis in Probabilistic Safety Assessment of Nuclear Power Plants," Energies, MDPI, vol. 14(4), pages 1-15, February.
   7. Francesco, Di Maio & Matteo, Fumagalli & Carlo, Guerini & Federico, Perotti & Enrico, Zio, 2021. "Time-dependent reliability analysis of the reactor building of a nuclear power plant for accounting of its aging and degradation," Reliability Engineering and System Safety, Elsevier, vol. 205(C).
   8. Arul, A. John & Iyer, N. Kannan & Velusamy, K., 2009. "Adjoint operator approach to functional reliability analysis of passive fluid dynamical systems," Reliability Engineering and System Safety, Elsevier, vol. 94(12), pages 1917-1926.
   9. Sarat Sivaprasad & Cameron A. MacKenzie, 2018. "The Hurwicz Decision Rule’s Relationship to Decision Making with the Triangle and Beta Distributions and Exponential Utility," Decision Analysis, INFORMS, vol. 15(3), pages 139-153, September.
   10. Yoro, Kelvin O. & Daramola, Michael O. & Sekoai, Patrick T. & Wilson, Uwemedimo N. & Eterigho-Ikelegbe, Orevaoghene, 2021. "Update on current approaches, challenges, and prospects of modeling and simulation in renewable and sustainable energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
   11. James Knighton & Luis Bastidas, 2015. "A proposed probabilistic seismic tsunami hazard analysis methodology," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 78(1), pages 699-723, August.
   12. Tu Duong Le Duy & Laurence Dieulle & Dominique Vasseur & Christophe Bérenguer & Mathieu Couplet, 2013. "An alternative comprehensive framework using belief functions for parameter and model uncertainty analysis in nuclear probabilistic risk assessment applications," Journal of Risk and Reliability, , vol. 227(5), pages 471-490, October.

9. Durga Rao, K. & Gopika, V. & Kushwaha, H.S. & Verma, A.K. & Srividya, A., 2007. "Test interval optimization of safety systems of nuclear power plant using fuzzy-genetic approach," Reliability Engineering and System Safety, Elsevier, vol. 92(7), pages 895-901.

   Cited by:

   1. KanÄ ev, DuÅ¡ko & Gjorgiev, Blaže & Volkanovski, Andrija & ÄŒepin, Marko, 2016. "Time-dependent unavailability of equipment in an ageing NPP: Sensitivity study of a developed model," Reliability Engineering and System Safety, Elsevier, vol. 148(C), pages 11-20.
   2. KanÄ ev, DuÅ¡ko & ÄŒepin, Marko & Gjorgiev, Blaže, 2014. "Development and application of a living probabilistic safety assessment tool: Multi-objective multi-dimensional optimization of surveillance requirements in NPPs considering their ageing," Reliability Engineering and System Safety, Elsevier, vol. 131(C), pages 135-147.

10. Verma, A. K. & Gupta, S. K. & Singh, K. K. & Chauhan, H. S., 1998. "An analytical solution for design of bi-level drainage systems," Agricultural Water Management, Elsevier, vol. 37(1), pages 75-92, June.

    Cited by:

    1. Singh, R.M. & Singh, K.K. & Singh, S.R., 2006. "Falling water tables in a sloping/nonsloping aquifer under various initial water table profiles," Agricultural Water Management, Elsevier, vol. 82(1-2), pages 210-222, April.
    2. Mehdinejadiani, Behrouz & Fathi, Parviz, 2020. "Analytical solutions of space fractional Boussinesq equation to simulate water table profiles between two parallel drainpipes under different initial conditions," Agricultural Water Management, Elsevier, vol. 240(C).
    3. Darzi-Naftchali, Abdullah & Mirlatifi, Seyed Majid & Shahnazari, Ali & Ejlali, Farid & Mahdian, Mohammad Hossein, 2013. "Effect of subsurface drainage on water balance and water table in poorly drained paddy fields," Agricultural Water Management, Elsevier, vol. 130(C), pages 61-68.
    4. Kacimov, A. R., 2000. "Comment on the paper "An analytical solution for design of bi-level drainage systems" by A.K. Verma, S.K. Gupta, K.K. Singh, H.S. Chauhan," Agricultural Water Management, Elsevier, vol. 46(2), pages 193-200, December.
    5. Upadhyaya, A. & Chauhan, H. S., 2000. "An analytical solution for bi-level drainage design in the presence of evapotranspiration," Agricultural Water Management, Elsevier, vol. 45(2), pages 169-184, July.
    6. Ren, Xiaolei & Wang, Shaoli & Yang, Peiling & Tao, Yuan, 2023. "Experimental and modeling evaluation of siphon-type subsurface drainage performance in flooding and waterlogging removal," Agricultural Water Management, Elsevier, vol. 275(C).
    7. Mehdi Jafari-Talukolaee & Henk Ritzema & Abdullah Darzi-Naftchali & Ali Shahnazari, 2016. "Subsurface Drainage to Enable the Cultivation of Winter Crops in Consolidated Paddy Fields in Northern Iran," Sustainability, MDPI, vol. 8(3), pages 1-19, March.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Ajay Kumar Verma should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.