Itai Arieli

573 citations
58 papers · 296 · h-index 9

Impact in

Papers in

Itai Arieli

53 papers receiving 282 citations

Peers

Itai Arieli
Comparison fields: 5 of 56
  • Management Science and Operations Research 207
  • Safety Research 71
  • Statistical and Nonlinear Physics 89
  • General Decision Sciences 12
  • Economics and Econometrics 90
Replace Yakov Babichenko with:
Yakov Babichenko Israel
Andriy Zapechelnyuk United Kingdom
Srihari Govindan United States
Marcin Pęski Canada
Eran Shmaya United States
Dinah Rosenberg France
Yossi Feinberg United States
Ori Haimanko Israel
William Stanford United States
Françoise Forges France
Itai Arieli relative to Yakov Babichenko Israel Yakov Babichenko's profile →
Citations per field
00.5×1.5×
Yakov Babichenko · 1×
Citations per year

Countries citing papers authored by Itai Arieli

Since Specialization
Citations

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

Fields of papers citing papers by Itai Arieli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Itai Arieli, 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 Itai Arieli Line = papers co-authored together Itai Arieli links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201960
2 202026
3 201819
4 201619
5 201613
6 201010
7 20189
8 20239
9 20178
10 20158
11 20177
12 20137
13 20197
14 20216
15 20166
16 20125
17 20184
18 20174
19 20194
20 20144

About Itai Arieli

Itai Arieli is a scholar working on Management Science and Operations Research, Statistical and Nonlinear Physics, Economics and Econometrics, Safety Research and Artificial Intelligence, having authored 58 papers that have together received 296 indexed citations. Recurring topics across this work include Game Theory and Applications (48 papers), Auction Theory and Applications (19 papers), Opinion Dynamics and Social Influence (19 papers), Economic theories and models (12 papers), Experimental Behavioral Economics Studies (11 papers), Advanced Bandit Algorithms Research (7 papers), Complex Network Analysis Techniques (6 papers) and Game Theory and Voting Systems (6 papers). The work is most often cited by research in Management Science and Operations Research (207 citations), Safety Research (71 citations), Statistical and Nonlinear Physics (89 citations), General Decision Sciences (12 citations) and Economics and Econometrics (90 citations). Itai Arieli has collaborated with scholars based in Israel, Spain and United States. Frequent co-authors include Yakov Babichenko, Manuel Mueller-Frank, Rann Smorodinsky, H. Peyton Young, H. Peyton Young, Robert J. Aumann, Takuro Yamashita, Segev Shlomov, Peyton Young and Omer Tamuz. Their work appears in journals such as Journal of Economic Theory, Games and Economic Behavior, Theoretical Economics, Econometrica and Mathematical Social Sciences.

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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