Yakov Babichenko

835 citations
55 papers · 347 · h-index 10

Impact in

Papers in

Yakov Babichenko

54 papers receiving 336 citations

Peers

Yakov Babichenko
Comparison fields: 5 of 55
  • Management Science and Operations Research 262
  • Safety Research 62
  • General Decision Sciences 11
  • Statistical and Nonlinear Physics 69
  • Economics and Econometrics 108
Replace Andriy Zapechelnyuk with:
Andriy Zapechelnyuk United Kingdom
Srihari Govindan United States
Itai Arieli Israel
Dinah Rosenberg France
Simina Brânzei United States
Eran Shmaya United States
William Stanford United States
Omer Lev Israel
Ori Haimanko Israel
Dries Vermeulen Netherlands
Yakov Babichenko relative to Andriy Zapechelnyuk United Kingdom Andriy Zapechelnyuk's profile →
Citations per field
00.5×1.5×1.8×
Andriy Zapechelnyuk · 1×
Citations per year

Countries citing papers authored by Yakov Babichenko

Since Specialization
Citations

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

Fields of papers citing papers by Yakov Babichenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yakov Babichenko, 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 Yakov Babichenko Line = papers co-authored together Yakov Babichenko links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201962
2 202026
3 201819
4 201417
5 201416
6 201614
7 201614
8 201213
9 201613
10 201310
11 20239
12 20229
13 20167
14 20107
15 20197
16 20156
17 20166
18 20166
19 20215
20 20175

About Yakov Babichenko

Yakov Babichenko is a scholar working on Management Science and Operations Research, Economics and Econometrics, Statistical and Nonlinear Physics, Artificial Intelligence and Computer Networks and Communications, having authored 55 papers that have together received 347 indexed citations. Recurring topics across this work include Game Theory and Applications (45 papers), Auction Theory and Applications (20 papers), Game Theory and Voting Systems (16 papers), Economic theories and models (12 papers), Advanced Bandit Algorithms Research (12 papers), Opinion Dynamics and Social Influence (12 papers), Experimental Behavioral Economics Studies (5 papers) and Bayesian Modeling and Causal Inference (4 papers). The work is most often cited by research in Management Science and Operations Research (262 citations), Safety Research (62 citations), General Decision Sciences (11 citations), Statistical and Nonlinear Physics (69 citations) and Economics and Econometrics (108 citations). Yakov Babichenko has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Itai Arieli, Rann Smorodinsky, Siddharth Barman, Omer Tamuz, H. Peyton Young, Inbal Talgam-Cohen, Manuel Mueller-Frank, Haifeng Xu, Aviad Rubinstein and Takuro Yamashita. Their work appears in journals such as Journal of Economic Theory, Games and Economic Behavior, Mathematics of Operations Research, Theoretical Economics and International Journal of Game Theory.

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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