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Comparative study on methods of detecting research fronts using different types of citation

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Cited by:

  1. Kiriyama, Eriko & Kajikawa, Yuya, 2014. "A multilayered analysis of energy security research and the energy supply process," Applied Energy, Elsevier, vol. 123(C), pages 415-423.
  2. Cristian Mejia & Yuya Kajikawa, 2018. "Using acknowledgement data to characterize funding organizations by the types of research sponsored: the case of robotics research," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(3), pages 883-904, March.
  3. Sziklai, Balázs R., 2021. "Ranking institutions within a discipline: The steep mountain of academic excellence," Journal of Informetrics, Elsevier, vol. 15(2).
  4. Ludo Waltman & Nees Jan Eck, 2012. "A new methodology for constructing a publication-level classification system of science," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(12), pages 2378-2392, December.
  5. Alfonso Ávila-Robinson & Shintaro Sengoku, 2017. "Tracing the knowledge-building dynamics in new stem cell technologies through techno-scientific networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1691-1720, September.
  6. Persson, Olle, 2010. "Identifying research themes with weighted direct citation links," Journal of Informetrics, Elsevier, vol. 4(3), pages 415-422.
  7. Kiriyama, Eriko & Kajikawa, Yuya & Fujita, Katsuhide & Iwata, Shuichi, 2013. "A lead for transvaluation of global nuclear energy research and funded projects in Japan," Applied Energy, Elsevier, vol. 109(C), pages 145-153.
  8. Matthias Held & Grit Laudel & Jochen Gläser, 2021. "Challenges to the validity of topic reconstruction," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 4511-4536, May.
  9. Li, Heyang & Wu, Meijun & Wang, Yougui & Zeng, An, 2022. "Bibliographic coupling networks reveal the advantage of diversification in scientific projects," Journal of Informetrics, Elsevier, vol. 16(3).
  10. Ronald N. Kostoff, 2014. "Literature-related discovery: common factors for Parkinson’s Disease and Crohn’s Disease," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(3), pages 623-657, September.
  11. Daria Maltseva & Vladimir Batagelj, 2021. "Journals publishing social network analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3593-3620, April.
  12. Shino Iwami & Junichiro Mori & Ichiro Sakata & Yuya Kajikawa, 2014. "Detection method of emerging leading papers using time transition," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1515-1533, November.
  13. Sukrit Vinayavekhin & Feng Li & Aneesh Banerjee & Andrea Caputo, 2023. "The academic landscape of sustainability in management literature: Towards a more interdisciplinary research agenda," Business Strategy and the Environment, Wiley Blackwell, vol. 32(8), pages 5748-5784, December.
  14. Cassidy R. Sugimoto, 2011. "Looking across communicative genres: a call for inclusive indicators of interdisciplinarity," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(2), pages 449-461, February.
  15. Ogawa, Takaya & Kajikawa, Yuya, 2017. "Generating novel research ideas using computational intelligence: A case study involving fuel cells and ammonia synthesis," Technological Forecasting and Social Change, Elsevier, vol. 120(C), pages 41-47.
  16. Takaya Ogawa & Mizutomo Takeuchi & Yuya Kajikawa, 2018. "Analysis of Trends and Emerging Technologies in Water Electrolysis Research Based on a Computational Method: A Comparison with Fuel Cell Research," Sustainability, MDPI, vol. 10(2), pages 1-24, February.
  17. Masaki Eto, 2013. "Evaluations of context-based co-citation searching," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(2), pages 651-673, February.
  18. Mu-hsuan Huang & Chia-Pin Chang, 2015. "A comparative study on detecting research fronts in the organic light-emitting diode (OLED) field using bibliographic coupling and co-citation," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 2041-2057, March.
  19. Liu, Xiang & Jiang, Tingting & Ma, Feicheng, 2013. "Collective dynamics in knowledge networks: Emerging trends analysis," Journal of Informetrics, Elsevier, vol. 7(2), pages 425-438.
  20. Kajikawa, Yuya & Mejia, Cristian & Wu, Mengjia & Zhang, Yi, 2022. "Academic landscape of Technological Forecasting and Social Change through citation network and topic analyses," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
  21. Yi-Ming Wei & Jin-Wei Wang & Tianqi Chen & Bi-Ying Yu & Hua Liao, 2018. "Frontiers of Low-Carbon Technologies: Results from Bibliographic Coupling with Sliding Window," CEEP-BIT Working Papers 116, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
  22. Cai, Fang & Zheng, Wen-Jiang & Zhang, Xiao & Ji, Jiu-Ming & Zhou, Wei-Xing, 2019. "Comparing selection strategies for engineering research hotspots," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
  23. Mund, Carolin & Neuhäusler, Peter, 2015. "Towards an early-stage identification of emerging topics in science—The usability of bibliometric characteristics," Journal of Informetrics, Elsevier, vol. 9(4), pages 1018-1033.
  24. Hai-Yun Xu & Zeng-Hui Yue & Chao Wang & Kun Dong & Hong-Shen Pang & Zhengbiao Han, 2017. "Multi-source data fusion study in scientometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 773-792, May.
  25. Ernesto D. R. Santibanez Gonzalez & Vinay Kandpal & Marcio Machado & Mauro Luiz Martens & Sushobhan Majumdar, 2023. "A Bibliometric Analysis of Circular Economies through Sustainable Smart Cities," Sustainability, MDPI, vol. 15(22), pages 1-22, November.
  26. Mejia, Cristian & Kajikawa, Yuya, 2020. "Emerging topics in energy storage based on a large-scale analysis of academic articles and patents," Applied Energy, Elsevier, vol. 263(C).
  27. Yang, Siluo & Wang, Feifei, 2015. "Visualizing information science: Author direct citation analysis in China and around the world," Journal of Informetrics, Elsevier, vol. 9(1), pages 208-225.
  28. Aryuna Kim & Daria Maltseva, 2024. "Qualitative social network analysis: studying the field through the bibliographic approach," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(1), pages 385-411, February.
  29. Shuo Xu & Junwan Liu & Dongsheng Zhai & Xin An & Zheng Wang & Hongshen Pang, 2018. "Overlapping thematic structures extraction with mixed-membership stochastic blockmodel," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 61-84, October.
  30. Ruimin Ma & Erjia Yan, 2016. "Uncovering inter-specialty knowledge communication using author citation networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 839-854, November.
  31. Cousins, Joshua J., 2021. "Justice in nature-based solutions: Research and pathways," Ecological Economics, Elsevier, vol. 180(C).
  32. Hiran H. Lathabai & Susan George & Thara Prabhakaran & Manoj Changat, 2018. "An integrated approach to path analysis for weighted citation networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(3), pages 1871-1904, December.
  33. Takaya Ogawa & Mizutomo Takeuchi & Yuya Kajikawa, 2018. "Comprehensive Analysis of Trends and Emerging Technologies in All Types of Fuel Cells Based on a Computational Method," Sustainability, MDPI, vol. 10(2), pages 1-30, February.
  34. Adam Kozakiewicz & Andrzej Lis, 2021. "Energy Efficiency in Cloud Computing: Exploring the Intellectual Structure of the Research Field and Its Research Fronts with Direct Citation Analysis," Energies, MDPI, vol. 14(21), pages 1-17, October.
  35. Ogawa, Takaya & Kajikawa, Yuya, 2015. "Assessing the industrial opportunity of academic research with patent relatedness: A case study on polymer electrolyte fuel cells," Technological Forecasting and Social Change, Elsevier, vol. 90(PB), pages 469-475.
  36. Takano, Yasutomo & Mejia, Cristian & Kajikawa, Yuya, 2016. "Unconnected component inclusion technique for patent network analysis: Case study of Internet of Things-related technologies," Journal of Informetrics, Elsevier, vol. 10(4), pages 967-980.
  37. Marianne Hörlesberger & Ivana Roche & Dominique Besagni & Thomas Scherngell & Claire François & Pascal Cuxac & Edgar Schiebel & Michel Zitt & Dirk Holste, 2013. "A concept for inferring ‘frontier research’ in grant proposals," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(2), pages 129-148, November.
  38. Alba Santa Soriano & Carolina Lorenzo Álvarez & Rosa María Torres Valdés, 2018. "Bibliometric analysis to identify an emerging research area: Public Relations Intelligence—a challenge to strengthen technological observatories in the network society," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(3), pages 1591-1614, June.
  39. P. G. J. Persoon & R. N. A. Bekkers & F. Alkemade, 2020. "How cumulative is technological knowledge?," Papers 2012.00095, arXiv.org, revised May 2021.
  40. Theresa Velden & Shiyan Yan & Carl Lagoze, 2017. "Mapping the cognitive structure of astrophysics by infomap clustering of the citation network and topic affinity analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 1033-1051, May.
  41. Shuo Xu & Liyuan Hao & Xin An & Hongshen Pang & Ting Li, 2020. "Review on emerging research topics with key-route main path analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 607-624, January.
  42. Kyebambe, Moses Ntanda & Cheng, Ge & Huang, Yunqing & He, Chunhui & Zhang, Zhenyu, 2017. "Forecasting emerging technologies: A supervised learning approach through patent analysis," Technological Forecasting and Social Change, Elsevier, vol. 125(C), pages 236-244.
  43. Hiran H. Lathabai & Thara Prabhakaran & Manoj Changat, 2017. "Contextual productivity assessment of authors and journals: a network scientometric approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 711-737, February.
  44. Yunfei Wang & Siming Tan & Yanyan Ma & Xia Zhao & Zhiling Wang & Zhiyong Chu & Honghua Qin, 2016. "Application of bibliometrics in analysis of output differences among countries under International Ocean Discovery Program," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(1), pages 447-462, October.
  45. Mathew Azarian & Hao Yu & Asmamaw Tadege Shiferaw & Tor Kristian Stevik, 2023. "Do We Perform Systematic Literature Review Right? A Scientific Mapping and Methodological Assessment," Logistics, MDPI, vol. 7(4), pages 1-32, November.
  46. Carlos Olmeda-Gómez & Carlos Romá-Mateo & Maria-Antonia Ovalle-Perandones, 2019. "Overview of trends in global epigenetic research (2009–2017)," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1545-1574, June.
  47. Xuefeng Wang & Shuo Zhang & Yuqin liu, 2022. "ITGInsight–discovering and visualizing research fronts in the scientific literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6509-6531, November.
  48. Chabowski, Brian R. & Samiee, Saeed, 2023. "A bibliometric examination of the literature on emerging market MNEs as the basis for future research," Journal of Business Research, Elsevier, vol. 155(PB).
  49. Daria Maltseva & Vladimir Batagelj, 2022. "Collaboration between authors in the field of social network analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3437-3470, June.
  50. Yang, Siluo & Han, Ruizhen & Wolfram, Dietmar & Zhao, Yuehua, 2016. "Visualizing the intellectual structure of information science (2006–2015): Introducing author keyword coupling analysis," Journal of Informetrics, Elsevier, vol. 10(1), pages 132-150.
  51. Wang, Feifei & Jia, Chenran & Wang, Xiaohan & Liu, Junwan & Xu, Shuo & Liu, Yang & Yang, Chenyuyan, 2019. "Exploring all-author tripartite citation networks: A case study of gene editing," Journal of Informetrics, Elsevier, vol. 13(3), pages 856-873.
  52. Yuya Kajikawa, 2022. "Reframing evidence in evidence-based policy making and role of bibliometrics: toward transdisciplinary scientometric research," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5571-5585, September.
  53. Ichiro Tsuchimoto & Yuya Kajikawa, 2022. "Recycling of Plastic Waste: A Systematic Review Using Bibliometric Analysis," Sustainability, MDPI, vol. 14(24), pages 1-39, December.
  54. Mu-Hsuan Huang & Chia-Pin Chang, 2016. "A comparative study on three citation windows for detecting research fronts," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1835-1853, December.
  55. Takano, Yasutomo & Kajikawa, Yuya, 2019. "Extracting commercialization opportunities of the Internet of Things: Measuring text similarity between papers and patents," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 45-68.
  56. Jinho Choi & Sunghun Chung & Yong Sik Chang, 2019. "Is M&A Information Useful for Exploring Promising Industries and Technologies?," Sustainability, MDPI, vol. 12(1), pages 1-19, December.
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