Yair Zick

1.5k total citations · 1 hit paper
42 papers, 613 citations indexed

About

Yair Zick is a scholar working on Management Science and Operations Research, Economics and Econometrics and Artificial Intelligence. According to data from OpenAlex, Yair Zick has authored 42 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Management Science and Operations Research, 29 papers in Economics and Econometrics and 14 papers in Artificial Intelligence. Recurrent topics in Yair Zick's work include Game Theory and Voting Systems (29 papers), Auction Theory and Applications (28 papers) and Game Theory and Applications (13 papers). Yair Zick is often cited by papers focused on Game Theory and Voting Systems (29 papers), Auction Theory and Applications (28 papers) and Game Theory and Applications (13 papers). Yair Zick collaborates with scholars based in Singapore, United States and Israel. Yair Zick's co-authors include Anupam Datta, Shayak Sen, Edith Elkind, Ariel D. Procaccia, Kobi Gal, Reza Shokri, Yoram Bachrach, Georgios Chalkiadakis, Neel Patel and Jakub Śliwiński and has published in prestigious journals such as Communications of the ACM, Artificial Intelligence and Journal of the ACM.

In The Last Decade

Yair Zick

40 papers receiving 592 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Algorithmic Transparency via Quantitative Input Influence: Theory and Experiments with Learning Systems

2016 346 citations Anupam Datta, Yair Zick et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Yair Zick Singapore	11	333	179	157	103	47	42	613
Shayak Sen United States	7	410 1.2×	62 0.3×	26 0.2×	98 1.0×	77 1.6×	9	583
Arash Bahrammirzaee France	3	140 0.4×	167 0.9×	89 0.6×	19 0.2×	43 0.9×	6	394
John Cartlidge United Kingdom	11	106 0.3×	63 0.4×	44 0.3×	16 0.2×	78 1.7×	49	355
Hélder Coelho Portugal	13	287 0.9×	112 0.6×	26 0.2×	14 0.1×	31 0.7×	87	538
Liuyi Yao United States	13	377 1.1×	50 0.3×	33 0.2×	11 0.1×	93 2.0×	27	644
Shuhan Yuan United States	15	594 1.8×	49 0.3×	53 0.3×	115 1.1×	157 3.3×	40	978
Sofia Ceppi United Kingdom	9	153 0.5×	92 0.5×	18 0.1×	23 0.2×	58 1.2×	29	429
Javier Castro Spain	8	153 0.5×	167 0.9×	105 0.7×	4 0.0×	33 0.7×	25	508
Haris Aziz Australia	20	228 0.7×	827 4.6×	1.0k 6.5×	100 1.0×	17 0.4×	117	1.3k

Countries citing papers authored by Yair Zick

Since Specialization

Citations

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

Fields of papers citing papers by Yair Zick

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yair Zick

This figure shows the co-authorship network connecting the top 25 collaborators of Yair Zick. A scholar is included among the top collaborators of Yair Zick 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 Yair Zick. Yair Zick is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Zick, Yair, et al.. (2023). A Learning Framework for Distribution-Based Game-Theoretic Solution Concepts. arXiv (Cornell University). 11(1-2). 1–23. 1 indexed citations

2.

Zick, Yair, et al.. (2023). A General Framework for Fair Allocation under Matroid Rank Valuations. 1129–1152. 4 indexed citations

3.

Lev, Omer, et al.. (2021). Learning Cooperative Solution Concepts from Voting Behavior: A Case Study on the Israeli Knesset. Autonomous Agents and Multi-Agent Systems. 1572–1574.

4.

Gal, Kobi, et al.. (2020). Threshold Task Games: Theory, Platform and Experiments. Adaptive Agents and Multi-Agents Systems. 393–401.

5.

Śliwiński, Jakub, et al.. (2020). The Price of Quota-based Diversity in Assignment Problems. arXiv (Cornell University). 8(3). 1–32. 5 indexed citations

6.

Shokri, Reza, Martin Strobel, & Yair Zick. (2019). Privacy Risks of Explaining Machine Learning Models.. arXiv (Cornell University). 7 indexed citations

7.

Zick, Yair, Georgios Chalkiadakis, Edith Elkind, & Evangelos Markakis. (2019). Cooperative games with overlapping coalitions: Charting the tractability frontier. Artificial Intelligence. 271. 74–97. 7 indexed citations

8.

Zick, Yair, et al.. (2017). How to Form Winning Coalitions in Mixed Human-Computer Settings. 465–471. 7 indexed citations

9.

Bachrach, Yoram, Omer Lev, Yoad Lewenberg, & Yair Zick. (2016). Misrepresentation in district voting. International Joint Conference on Artificial Intelligence. 81–87. 14 indexed citations

10.

Guo, Qingyu, Bo An, Yair Zick, & Chunyan Miao. (2016). Optimal interdiction of illegal network flow. DR-NTU (Nanyang Technological University). 2507–2513. 16 indexed citations

11.

Bachrach, Yoram, Yoad Lewenberg, Jeffrey S. Rosenschein, & Yair Zick. (2016). Tracking Performance and Forming Study Groups for Prep Courses Using Probabilistic Graphical Models: (Extended Abstract). Adaptive Agents and Multi-Agents Systems. 1359–1360. 1 indexed citations

12.

Bachrach, Yoram, Yuval Filmus, Joel Oren, & Yair Zick. (2016). A characterization of voting power for discrete weight distributions. International Joint Conference on Artificial Intelligence. 74–80. 4 indexed citations

13.

Datta, Anupam, et al.. (2015). Incentivizing peer grading in MOOCS: an audit game approach. International Conference on Artificial Intelligence. 497–503. 3 indexed citations

14.

Zick, Yair, Yoram Bachrach, Ian A. Kash, & Peter Key. (2015). Non-myopic negotiators see what's best. International Conference on Artificial Intelligence. 2047–2053. 1 indexed citations

15.

Elkind, Edith, Dmitrii V. Ṗasechnik, & Yair Zick. (2013). Dynamic weighted voting games. Adaptive Agents and Multi-Agents Systems. 515–522. 4 indexed citations

16.

Zick, Yair. (2013). On random quotas and proportional representation in weighted voting games. International Joint Conference on Artificial Intelligence. 102(3). 432–438. 4 indexed citations

17.

Obraztsova, Svetlana, Yair Zick, & Edith Elkind. (2013). On manipulation in multi-winner elections based on scoring rules. Adaptive Agents and Multi-Agents Systems. 359–366. 8 indexed citations

18.

Zick, Yair, Georgios Chalkiadakis, & Edith Elkind. (2012). Overlapping coalition formation games: charting the tractability frontier. Adaptive Agents and Multi-Agents Systems. 787–794. 19 indexed citations

19.

Zick, Yair, Alexander Skopalik, & Edith Elkind. (2011). The Shapley value as a function of the quota in weighted voting games. International Joint Conference on Artificial Intelligence. 490–495. 12 indexed citations

20.

Zick, Yair & Edith Elkind. (2011). Arbitrators in overlapping coalition formation games. Adaptive Agents and Multi-Agents Systems. 55–62. 17 indexed citations

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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