Markus Brill

51 papers receiving 585 citations

Peers

Markus Brill
Comparison fields: 5 of 53
  • Management Science and Operations Research 320
  • Economics and Econometrics 505
  • General Decision Sciences 30
  • Computational Theory and Mathematics 149
  • Artificial Intelligence 193
Replace Martin Lackner with:
Martin Lackner Austria
Rupert Freeman United States
Robert Bredereck Germany
M. Remzi Sanver Türkiye
Dominik Peters United Kingdom
Agnieszka Rusinowska France
Nimrod Talmon Israel
William S. Zwicker United States
Ton Storcken Netherlands
Felix Brandt Germany
Markus Brill relative to Martin Lackner Austria Martin Lackner's profile →
Citations per field
00.5×4.8×
Martin Lackner · 1×
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 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017117
2 201051
3 201845
4 201537
5 201329
6 201326
7 201823
8 201121
9 201517
10 201517
11 201815
12 201814
13 201714
14 201614
15 202110
16 202110
17 20239
18 20159
19 20229
20 20238

About Markus Brill

Markus Brill is a scholar working on Economics and Econometrics, Management Science and Operations Research, Artificial Intelligence, Political Science and International Relations and Computational Theory and Mathematics, having authored 56 papers that have together received 603 indexed citations. Recurring topics across this work include Game Theory and Voting Systems (48 papers), Auction Theory and Applications (25 papers), Game Theory and Applications (17 papers), Internet Traffic Analysis and Secure E-voting (10 papers), Electoral Systems and Political Participation (9 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 (320 citations), Economics and Econometrics (505 citations), General Decision Sciences (30 citations), Computational Theory and Mathematics (149 citations) and Artificial Intelligence (193 citations). Markus Brill has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Felix Brandt, Haris Aziz, Rupert Freeman, Vincent Conitzer, Toby Walsh, Lane A. Hemaspaandra, Edith Elkind, Edith Hemaspaandra, Piotr Skowron and Jean‐François Laslier. Their work appears in journals such as Social Choice and Welfare, Mathematical Programming, Games and Economic Behavior, Theory of Computing Systems and Journal of Artificial Intelligence Research.

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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