Rupert Freeman

878 total citations
35 papers, 399 citations indexed

About

Rupert Freeman is a scholar working on Economics and Econometrics, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, Rupert Freeman has authored 35 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Economics and Econometrics, 25 papers in Management Science and Operations Research and 10 papers in Artificial Intelligence. Recurrent topics in Rupert Freeman's work include Auction Theory and Applications (23 papers), Game Theory and Voting Systems (20 papers) and Experimental Behavioral Economics Studies (10 papers). Rupert Freeman is often cited by papers focused on Auction Theory and Applications (23 papers), Game Theory and Voting Systems (20 papers) and Experimental Behavioral Economics Studies (10 papers). Rupert Freeman collaborates with scholars based in United States, United Kingdom and Canada. Rupert Freeman's co-authors include Vincent Conitzer, Markus Brill, Nisarg Shah, Haris Aziz, Toby Walsh, Edith Elkind, Jennifer Wortman Vaughan, David M. Pennock, Martin Lackner and Svante Janson and has published in prestigious journals such as Management Science, Operations Research and Mathematical Programming.

In The Last Decade

Rupert Freeman

32 papers receiving 397 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rupert Freeman United States 11 293 221 101 69 49 35 399
Markus Brill Germany 14 505 1.7× 320 1.4× 193 1.9× 149 2.2× 39 0.8× 56 603
David Kurokawa United States 10 406 1.4× 386 1.7× 57 0.6× 102 1.5× 79 1.6× 15 522
Omer Lev Israel 11 155 0.5× 153 0.7× 62 0.6× 20 0.3× 35 0.7× 35 236
Christian Klamler Austria 11 220 0.8× 168 0.8× 66 0.7× 65 0.9× 13 0.3× 40 299
Martin Lackner Austria 13 373 1.3× 205 0.9× 137 1.4× 147 2.1× 25 0.5× 40 462
Jordi Massó Spain 16 601 2.1× 503 2.3× 58 0.6× 96 1.4× 66 1.3× 57 667
Alexandros A. Voudouris United Kingdom 10 208 0.7× 174 0.8× 40 0.4× 53 0.8× 22 0.4× 42 289
Erel Segal-Halevi Israel 9 172 0.6× 151 0.7× 53 0.5× 48 0.7× 44 0.9× 48 256
Gabriella Pigozzi Luxembourg 10 167 0.6× 141 0.6× 325 3.2× 55 0.8× 26 0.5× 41 464
Paul Harrenstein United Kingdom 14 309 1.1× 358 1.6× 258 2.6× 132 1.9× 35 0.7× 56 547

Countries citing papers authored by Rupert Freeman

Since Specialization
Citations

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

Fields of papers citing papers by Rupert Freeman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rupert Freeman. 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 Rupert Freeman. The network helps show where Rupert Freeman may publish in the future.

Co-authorship network of co-authors of Rupert Freeman

This figure shows the co-authorship network connecting the top 25 collaborators of Rupert Freeman. A scholar is included among the top collaborators of Rupert Freeman 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 Rupert Freeman. Rupert Freeman 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.
Freeman, Rupert, et al.. (2024). Project-Fair and Truthful Mechanisms for Budget Aggregation. Proceedings of the AAAI Conference on Artificial Intelligence. 38(9). 9704–9712. 1 indexed citations
2.
Freeman, Rupert, et al.. (2024). Harm Ratio: A Novel and Versatile Fairness Criterion. 1–14.
3.
Brill, Markus, Rupert Freeman, Svante Janson, & Martin Lackner. (2023). Phragmén’s voting methods and justified representation. Mathematical Programming. 203(1-2). 47–76. 5 indexed citations
4.
Freeman, Rupert, Jens Witkowski, Jennifer Wortman Vaughan, & David M. Pennock. (2023). An Equivalence Between Fair Division and Wagering Mechanisms. Management Science. 70(10). 6704–6723. 1 indexed citations
5.
Freeman, Rupert, Geoffrey Pritchard, & Mark C. Wilson. (2021). Order Symmetry: A New Fairness Criterion for Assignment Mechanisms. SocArXiv (OSF Preprints).
6.
Freeman, Rupert, Anson Kahng, & David M. Pennock. (2020). Proportionality in Approval-Based Elections With a Variable Number of Winners. 132–138. 5 indexed citations
7.
Conitzer, Vincent, Rupert Freeman, Nisarg Shah, & Jennifer Wortman Vaughan. (2019). Group Fairness for Indivisible Goods Allocation. National Conference on Artificial Intelligence. 2 indexed citations
8.
Conitzer, Vincent, Rupert Freeman, Nisarg Shah, & Jennifer Wortman Vaughan. (2019). Group Fairness for the Allocation of Indivisible Goods. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 1853–1860. 27 indexed citations
9.
Freeman, Rupert & David M. Pennock. (2018). An Axiomatic View of the Parimutuel Consensus Wagering Mechanism. Adaptive Agents and Multi-Agents Systems. 1936–1938. 2 indexed citations
10.
Witkowski, Jens, Rupert Freeman, Jennifer Wortman Vaughan, David M. Pennock, & Andreas Krause. (2018). Incentive-Compatible Forecasting Competitions. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 7 indexed citations
11.
Freeman, Rupert, et al.. (2018). Dynamic Proportional Sharing. Proceedings of the ACM on Measurement and Analysis of Computing Systems. 2(1). 1–36. 1 indexed citations
12.
Freeman, Rupert, et al.. (2017). Fair and Efficient Social Choice in Dynamic Settings. 4580–4587. 20 indexed citations
13.
Brill, Markus, Rupert Freeman, Svante Janson, & Martin Lackner. (2017). Phragmén’s Voting Methods and Justified Representation. Proceedings of the AAAI Conference on Artificial Intelligence. 31(1). 14 indexed citations
14.
Brill, Markus, Vincent Conitzer, Rupert Freeman, & Nisarg Shah. (2016). False-Name-Proof Recommendations in Social Networks. Adaptive Agents and Multi-Agents Systems. 332–340. 5 indexed citations
15.
Xu, Haifeng, Rupert Freeman, Vincent Conitzer, Shaddin Dughmi, & Milind Tambe. (2016). Signaling in Bayesian Stackelberg Games. Adaptive Agents and Multi-Agents Systems. 150–158. 18 indexed citations
16.
Brill, Markus, et al.. (2016). Computing Possible and Necessary Equilibrium Actions (and Bipartisan Set Winners). Proceedings of the AAAI Conference on Artificial Intelligence. 30(1). 418–424. 1 indexed citations
17.
Brill, Markus, et al.. (2015). Crowdsourcing Societal Tradeoffs. Adaptive Agents and Multi-Agents Systems. 1213–1217. 9 indexed citations
18.
Freeman, Rupert, Markus Brill, & Vincent Conitzer. (2015). General Tiebreaking Schemes for Computational Social Choice. Adaptive Agents and Multi-Agents Systems. 1401–1409. 4 indexed citations
19.
Aziz, Haris, Markus Brill, Vincent Conitzer, et al.. (2015). Justified Representation in Approval-Based Committee Voting. Proceedings of the AAAI Conference on Artificial Intelligence. 29(1). 17 indexed citations
20.
Freeman, Rupert, Markus Brill, & Vincent Conitzer. (2014). On the Axiomatic Characterization of Runoff Voting Rules. Proceedings of the AAAI Conference on Artificial Intelligence. 28(1). 8 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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