Maria Polukarov

867 total citations
45 papers, 397 citations indexed

About

Maria Polukarov is a scholar working on Management Science and Operations Research, Economics and Econometrics and Finance. According to data from OpenAlex, Maria Polukarov has authored 45 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Management Science and Operations Research, 31 papers in Economics and Econometrics and 9 papers in Finance. Recurrent topics in Maria Polukarov's work include Game Theory and Applications (21 papers), Auction Theory and Applications (21 papers) and Game Theory and Voting Systems (19 papers). Maria Polukarov is often cited by papers focused on Game Theory and Applications (21 papers), Auction Theory and Applications (21 papers) and Game Theory and Voting Systems (19 papers). Maria Polukarov collaborates with scholars based in United Kingdom, Israel and Singapore. Maria Polukarov's co-authors include Nicholas R. Jennings, Jeffrey S. Rosenschein, Michal Penn, Alessandro Farinelli, Sarvapali D. Ramchurn, Cuong Truong, Reshef Meir, Moshe Tennenholtz, Thomas C. Voice and Zinovi Rabinovich and has published in prestigious journals such as Artificial Intelligence, Finance research letters and Mathematics of Operations Research.

In The Last Decade

Maria Polukarov

39 papers receiving 378 citations

Peers

Maria Polukarov
Comparison fields: 5 of 46
  • Management Science and Operations Research 250
  • Economics and Econometrics 184
  • Computer Networks and Communications 82
  • Artificial Intelligence 76
  • Safety Research 52
Replace Vasilis Gkatzelis with:
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Vasilis Gkatzelis United States View profile →
Citations per field, relative to Maria Polukarov
Maria Polukarov · 1×
Citations per year, relative to Maria Polukarov
Maria Polukarov · 1×

Countries citing papers authored by Maria Polukarov

Since Specialization
Citations

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

Fields of papers citing papers by Maria Polukarov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Polukarov

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Polukarov. A scholar is included among the top collaborators of Maria Polukarov 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 Maria Polukarov. Maria Polukarov 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
# Work Indexed citations
1 0
2 1
3 6
4 0
5
Trembling hand equilibria of plurality voting
5
6
Strategic voting with incomplete information
9
7
Strategic Candidacy Games with Lazy Candidates
3
8
Convergence to Equilibria in Strategic Candidacy
5
9 15
10 10
11 7
12
Coalitional games via network flows
7
13 15
14 9
15 5
16 9
17 85
18 6
19
Generalised fictitious play for a continuum of anonymous players
8
20 1

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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