James M. Calvin

92 total papers · 650 total citations
67 papers, 416 citations indexed

About

James M. Calvin is a scholar working on Management Science and Operations Research, Statistics and Probability and Numerical Analysis. According to data from OpenAlex, James M. Calvin has authored 67 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Management Science and Operations Research, 20 papers in Statistics and Probability and 14 papers in Numerical Analysis. Recurrent topics in James M. Calvin's work include Simulation Techniques and Applications (17 papers), Advanced Optimization Algorithms Research (9 papers) and Advanced Statistical Process Monitoring (8 papers). James M. Calvin is often cited by papers focused on Simulation Techniques and Applications (17 papers), Advanced Optimization Algorithms Research (9 papers) and Advanced Statistical Process Monitoring (8 papers). James M. Calvin collaborates with scholars based in United States, United Kingdom and Lithuania. James M. Calvin's co-authors include Antanas Žilinskas, Marvin K. Nakayama, Bill Grieser, Ron Dusterhoft, Philip Nguyen, Shameem Siddiqui, Peter W. Glynn, Joseph Y.‐T. Leung, John H. Vande Vate and Bill Johnson and has published in prestigious journals such as European Journal of Operational Research, Operations Research and Journal of Mathematical Analysis and Applications.

In The Last Decade

James M. Calvin

61 papers receiving 389 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
James M. Calvin 121 117 109 108 72 67 416
Kristian Sabo 48 0.4× 62 0.5× 38 0.3× 16 0.1× 115 1.6× 52 488
Sanat Kumar Mahato 57 0.5× 49 0.4× 81 0.7× 9 0.1× 104 1.4× 51 440
Stefan Vigerske 72 0.6× 18 0.2× 131 1.2× 45 0.4× 46 0.6× 30 495
Xiaojiao Tong 82 0.7× 9 0.1× 71 0.7× 18 0.2× 29 0.4× 64 456
Andreas Eichhorn 124 1.0× 26 0.2× 14 0.1× 75 0.7× 31 0.4× 39 373
Yoshikazu SAWARAGI 57 0.5× 15 0.1× 60 0.6× 13 0.1× 148 2.1× 53 406
Biao Xu 34 0.3× 20 0.2× 176 1.6× 32 0.3× 176 2.4× 33 452
Keigo Yamada 42 0.3× 40 0.3× 44 0.4× 30 0.3× 131 1.8× 41 483
K. Vijayan 119 1.0× 53 0.5× 161 1.5× 29 0.3× 132 1.8× 36 495
Pankaj Kumar 227 1.9× 4 0.0× 65 0.6× 65 0.6× 35 0.5× 48 367

Countries citing papers authored by James M. Calvin

Since Specialization
Citations

This map shows the geographic impact of James M. Calvin's research. 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 James M. Calvin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James M. Calvin more than expected).

Fields of papers citing papers by James M. Calvin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James M. Calvin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by James M. Calvin. The network helps show where James M. Calvin may publish in the future.

Co-authorship network of co-authors of James M. Calvin

This figure shows the co-authorship network connecting the top 25 collaborators of James M. Calvin. A scholar is included among the top collaborators of James M. Calvin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with James M. Calvin. James M. Calvin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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.

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