Bibliometric analysis for highly cited papers in operations research and management science from 2008 to 2017 based on Essential Science Indicators
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DOI: 10.1016/j.omega.2018.11.005
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- Junwen Zhu & Guangyuan Hu & Weishu Liu, 2019. "DOI errors and possible solutions for Web of Science," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(2), pages 709-718, February.
- Mohamed M. Dhiaf & Osama F. Atayah & Nohade Nasrallah & Guilherme F. Frederico, 2021. "Thirteen years of Operations Management Research (OMR) journal: a bibliometric analysis and future research directions," Operations Management Research, Springer, vol. 14(3), pages 235-255, December.
- Pan Zhang & Yongjun Du & Sijie Han & Qingan Qiu, 2022. "Global Progress in Oil and Gas Well Research Using Bibliometric Analysis Based on VOSviewer and CiteSpace," Energies, MDPI, vol. 15(15), pages 1-27, July.
- Qian Ma & Yandan Li & Yan Zhang, 2020. "Informetric Analysis of Highly Cited Papers in Environmental Sciences Based on Essential Science Indicators," IJERPH, MDPI, vol. 17(11), pages 1-14, May.
- Xu, Zeshui & Ge, Zijing & Wang, Xinxin & Skare, Marinko, 2021. "Bibliometric analysis of technology adoption literature published from 1997 to 2020," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
- Triantaphyllou, Evangelos & Yanase, Juri & Hou, Fujun, 2020. "Post-consensus analysis of group decision making processes by means of a graph theoretic and an association rules mining approach," Omega, Elsevier, vol. 94(C).
- Bangzhu Zhu & Shunxin Ye & Ping Wang & Julien Chevallier & Yi‐Ming Wei, 2022. "Forecasting carbon price using a multi‐objective least squares support vector machine with mixture kernels," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(1), pages 100-117, January.
- Romero-Silva, Rodrigo & de Leeuw, Sander, 2021. "Learning from the past to shape the future: A comprehensive text mining analysis of OR/MS reviews," Omega, Elsevier, vol. 100(C).
- Tang, Ming & Liao, Huchang, 2021. "From conventional group decision making to large-scale group decision making: What are the challenges and how to meet them in big data era? A state-of-the-art survey," Omega, Elsevier, vol. 100(C).
- Ziqiang Zeng & Lantian Shi, 2021. "A two-dimensional journal classification method based on output and input factors: perspectives from citation and authorship related indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 3929-3964, May.
- Mostafa, Mohamed M., 2022. "Five decades of catastrophe theory research: Geographical atlas, knowledge structure and historical roots," Chaos, Solitons & Fractals, Elsevier, vol. 159(C).
- Dias, Luis C. & Lev, Benjamin & Anderson, James B., 2023. "Low cited articles in operations research / management science," Omega, Elsevier, vol. 115(C).
- Sepideh Fahimifar & Khadijeh Mousavi & Fatemeh Mozaffari & Marcel Ausloos, 2023. "Identification of the most important external features of highly cited scholarly papers through 3 (i.e., Ridge, Lasso, and Boruta) feature selection data mining methods," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(4), pages 3685-3712, August.
- Gleydson de Oliveira Cavalcanti & Handson Claudio Dias Pimenta, 2023. "Electric Energy Management in Buildings Based on the Internet of Things: A Systematic Review," Energies, MDPI, vol. 16(15), pages 1-29, August.
- Mladen Stamenković, 2023. "Where Did All The Papers Go? A Bibliometric Overview Of Publications In Economics From Serbia," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 68(236), pages 29-50, January –.
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Keywords
Operations research; Management science; Essential Science Indicators; Bibliometric; Highly cited papers;All these keywords.
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