Countries where authors publish in Computational Management Science
Since Specialization
Citations
This map shows the geographic impact of research published in Computational Management Science. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by papers published in Computational Management Science with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Computational Management Science more than expected).
Fields of papers published in Computational Management Science
This network shows the impact of papers published in Computational Management Science. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Computational Management Science.
About Computational Management Science
The 491 papers published in Computational Management Science in the last decades have received a total of 8.6k indexed citations . Papers published in Computational Management Science usually cover Management Science and Operations Research (197 papers), Finance (136 papers), Economics and Econometrics (125 papers), Numerical Analysis (25 papers) and Management Information Systems (40 papers) specifically the topics of Risk and Portfolio Optimization (130 papers), Stochastic processes and financial applications (66 papers), Economic theories and models (48 papers), Electric Power System Optimization (39 papers), Financial Risk and Volatility Modeling (38 papers), Capital Investment and Risk Analysis (36 papers), Supply Chain and Inventory Management (35 papers) and Optimization and Mathematical Programming (34 papers). The most active scholars publishing in Computational Management Science are Richard Loulou, Masao Fukushima, Jong‐Shi Pang, Maryse Labriet, Jean‐Paul Watson, David L. Woodruff, Anna Nagurney, Michal Kaut, Erol Gelenbe and Werner Römisch.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.