Markus Brill

65 papers receiving 935 citations

Peers

Markus Brill
Comparison fields: 5 of 62
  • Management Science and Operations Research 520
  • Economics and Econometrics 801
  • General Decision Sciences 49
  • Computational Theory and Mathematics 219
  • Artificial Intelligence 308
Replace Martin Lackner with:
Martin Lackner Austria
Dominique Lepelley France
Dominik Peters United Kingdom
M. Remzi Sanver Türkiye
Rida Laraki France
Rupert Freeman United States
Robert Bredereck Germany
Reshef Meir Israel
William S. Zwicker United States
Vincent R. Merlin France
Markus Brill relative to Martin Lackner Austria Martin Lackner's profile →
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Citations per year

Countries citing papers authored by Markus Brill

Since Specialization
Citations

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

Fields of papers citing papers by Markus Brill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Markus Brill, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Markus Brill Line = papers co-authored together Markus Brill links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017172
2 201055
3 201554
4 201851
5 201350
6 201340
7 201735
8 201832
9 201527
10 201127
11 201826
12 201721
13 201820
14 201620
15 201518
16 201516
17
On the Fixed-Parameter Tractability of Composition-Consistent Tournament Solutions
201016
18 201616
19 201715
20 202313

About Markus Brill

Markus Brill is a scholar working on Management Science and Operations Research, Economics and Econometrics, Artificial Intelligence, Political Science and International Relations and Computational Theory and Mathematics, having authored 71 papers that have together received 957 indexed citations. Recurring topics across this work include Game Theory and Voting Systems (59 papers), Auction Theory and Applications (32 papers), Game Theory and Applications (24 papers), Electoral Systems and Political Participation (14 papers), Internet Traffic Analysis and Secure E-voting (12 papers), Complexity and Algorithms in Graphs (7 papers), Logic, Reasoning, and Knowledge (6 papers) and Decision-Making and Behavioral Economics (5 papers). The work is most often cited by research in Management Science and Operations Research (520 citations), Economics and Econometrics (801 citations), General Decision Sciences (49 citations), Computational Theory and Mathematics (219 citations) and Artificial Intelligence (308 citations). Markus Brill has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Felix Brandt, Haris Aziz, Rupert Freeman, Vincent Conitzer, Edith Elkind, Piotr Skowron, Toby Walsh, Lane A. Hemaspaandra, Edith Hemaspaandra and Jean‐François Laslier. Their work appears in journals such as Social Choice and Welfare, Mathematical Programming, Journal of Artificial Intelligence Research, Theory of Computing Systems and Games and Economic Behavior.

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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