D. Marc Kilgour

11.4k total citations
311 papers, 7.2k citations indexed

About

D. Marc Kilgour is a scholar working on Management Science and Operations Research, Economics and Econometrics and Artificial Intelligence. According to data from OpenAlex, D. Marc Kilgour has authored 311 papers receiving a total of 7.2k indexed citations (citations by other indexed papers that have themselves been cited), including 195 papers in Management Science and Operations Research, 131 papers in Economics and Econometrics and 62 papers in Artificial Intelligence. Recurrent topics in D. Marc Kilgour's work include Game Theory and Applications (133 papers), Game Theory and Voting Systems (90 papers) and Multi-Criteria Decision Making (42 papers). D. Marc Kilgour is often cited by papers focused on Game Theory and Applications (133 papers), Game Theory and Voting Systems (90 papers) and Multi-Criteria Decision Making (42 papers). D. Marc Kilgour collaborates with scholars based in Canada, United States and China. D. Marc Kilgour's co-authors include Keith W. Hipel, Liping Fang, Steven J. Brams, Frank C. Zagare, Xiaoyong Peng, Kevin Li, MA Bashar, Haiyan Xu, Amer Obeidi and Charles Leake and has published in prestigious journals such as Management Science, Journal of Political Economy and Water Resources Research.

In The Last Decade

D. Marc Kilgour

300 papers receiving 6.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
D. Marc Kilgour Canada 44 4.2k 2.3k 1.7k 1.3k 1.3k 311 7.2k
Keith W. Hipel Canada 55 6.1k 1.4× 2.6k 1.1× 2.4k 1.4× 1.7k 1.3× 1.5k 1.2× 495 12.5k
Martin J. Beckmann United States 31 4.6k 1.1× 2.0k 0.9× 1.1k 0.6× 236 0.2× 404 0.3× 170 12.1k
George G. Judge United States 37 966 0.2× 3.8k 1.6× 475 0.3× 319 0.3× 732 0.6× 153 9.2k
Jay W. Forrester United States 30 2.9k 0.7× 895 0.4× 808 0.5× 120 0.1× 690 0.5× 75 6.9k
Robert L. Axtell United States 20 1.1k 0.3× 1.9k 0.8× 392 0.2× 772 0.6× 1.1k 0.9× 44 5.0k
John W. Pratt United States 34 2.6k 0.6× 5.3k 2.3× 763 0.4× 105 0.1× 682 0.5× 94 11.7k
Robert T. Clemen United States 28 2.6k 0.6× 1.4k 0.6× 1.0k 0.6× 98 0.1× 421 0.3× 57 6.2k
Steven J. Brams United States 37 2.5k 0.6× 3.5k 1.5× 680 0.4× 200 0.2× 852 0.7× 253 5.7k
Harry M. Markowitz United States 35 7.2k 1.7× 8.4k 3.6× 872 0.5× 160 0.1× 375 0.3× 147 20.0k
David Schmeidler Israel 40 4.8k 1.1× 6.4k 2.8× 1.3k 0.8× 142 0.1× 514 0.4× 118 10.6k

Countries citing papers authored by D. Marc Kilgour

Since Specialization
Citations

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

Fields of papers citing papers by D. Marc Kilgour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. Marc Kilgour. 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 D. Marc Kilgour. The network helps show where D. Marc Kilgour may publish in the future.

Co-authorship network of co-authors of D. Marc Kilgour

This figure shows the co-authorship network connecting the top 25 collaborators of D. Marc Kilgour. A scholar is included among the top collaborators of D. Marc Kilgour 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 D. Marc Kilgour. D. Marc Kilgour is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Fang, Liping, et al.. (2025). Improving the graph model to investigate a water allocation dispute in China involving strength of preference and unknown preference. Journal of Hydrology. 652. 132642–132642. 3 indexed citations
2.
Brams, Steven J., et al.. (2023). Fairer Shootouts in Soccer: The m - n Rule. SSRN Electronic Journal.
3.
Rêgo, Leandro Chaves, et al.. (2022). The Graph Model for Conflict Resolution and Credible Maximin Stability. IEEE Transactions on Systems Man and Cybernetics Systems. 53(2). 947–956. 6 indexed citations
4.
Zagare, Frank C. & D. Marc Kilgour. (2022). Modeling threats and promises: Explaining the Munich crisis of 1938. Journal of Peace Research. 60(4). 661–674. 1 indexed citations
5.
Xu, Yejun, et al.. (2022). The graph model for composite decision makers and its application to a water resource conflict. European Journal of Operational Research. 306(1). 308–321. 28 indexed citations
6.
Rêgo, Leandro Chaves & D. Marc Kilgour. (2021). Choice stabilities in the graph model for conflict resolution. European Journal of Operational Research. 301(3). 1064–1071. 6 indexed citations
7.
Xu, Yejun, et al.. (2020). Composite Decision Makers in the Graph Model for Conflict Resolution: Hesitant Fuzzy Preference Modeling. IEEE Transactions on Systems Man and Cybernetics Systems. 51(12). 7889–7902. 41 indexed citations
8.
Kilgour, D. Marc, et al.. (2020). Matrix representation of stability definitions for the graph model for conflict resolution with reciprocal preference relations. Fuzzy Sets and Systems. 409. 32–54. 26 indexed citations
9.
Hipel, Keith W., et al.. (2019). Graph Model Under Unknown and Fuzzy Preferences. IEEE Transactions on Fuzzy Systems. 28(2). 308–320. 26 indexed citations
10.
Hipel, Keith W., Liping Fang, & D. Marc Kilgour. (2019). The Graph Model for Conflict Resolution: Reflections on Three Decades of Development. Group Decision and Negotiation. 29(1). 11–60. 46 indexed citations
11.
Kilgour, D. Marc. (2019). Multi-Winner Voting. Studies of Applied Economics. 36(1). 167–180. 2 indexed citations
12.
Kilgour, D. Marc. (2018). Multi-Winner Voting/Votación con múltiples ganadores. Studies of Applied Economics. 36. 167–180. 1 indexed citations
13.
He, Songtao, D. Marc Kilgour, & Keith W. Hipel. (2018). A Basic Hierarchical Graph Model for Conflict Resolution with Weighted Preference. Journal of Environmental Informatics. 31(1). 15–29. 8 indexed citations
14.
Hipel, Keith W., et al.. (2017). Behavioral Analysis in the Graph Model for Conflict Resolution. IEEE Transactions on Systems Man and Cybernetics Systems. 49(5). 904–916. 20 indexed citations
15.
Xu, Haiyan, D. Marc Kilgour, Keith W. Hipel, & Edward A. McBean. (2012). Theory and application of conflict resolution with hybrid preference in colored graphs. Applied Mathematical Modelling. 37(3). 989–1003. 10 indexed citations
16.
Chen, Ye, D. Marc Kilgour, & Keith W. Hipel. (2010). An extreme-distance approach to multiple criteria ranking. Mathematical and Computer Modelling. 53(5-6). 646–658. 22 indexed citations
17.
Zagare, Frank C. & D. Marc Kilgour. (2000). Perfect Deterrence: List of figures. Survey of Ophthalmology. 28(6). 677–86. 70 indexed citations
18.
Brams, Steven J. & D. Marc Kilgour. (1999). Competitive Fair Division. RePEc: Research Papers in Economics. 2 indexed citations
19.
Kilgour, D. Marc, Liping Fang, & Keith W. Hipel. (1992). GAME‐THEORETIC ANALYSES OF ENFORCEMENT OF ENVIRONMENTAL LAWS AND REGULATIONS1. JAWRA Journal of the American Water Resources Association. 28(1). 141–153. 20 indexed citations
20.
Avenhaus, Rudolf, et al.. (1989). The Probability of Nuclear War. Journal of Peace Research. 26(1). 91–99. 6 indexed citations

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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