Alon Cohen

780 total citations
12 papers, 52 citations indexed

About

Alon Cohen is a scholar working on Artificial Intelligence, Management Science and Operations Research and Economics and Econometrics. According to data from OpenAlex, Alon Cohen has authored 12 papers receiving a total of 52 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Management Science and Operations Research and 4 papers in Economics and Econometrics. Recurrent topics in Alon Cohen's work include Machine Learning and Algorithms (3 papers), Law, Economics, and Judicial Systems (3 papers) and Advanced Bandit Algorithms Research (3 papers). Alon Cohen is often cited by papers focused on Machine Learning and Algorithms (3 papers), Law, Economics, and Judicial Systems (3 papers) and Advanced Bandit Algorithms Research (3 papers). Alon Cohen collaborates with scholars based in Israel, United States and United Kingdom. Alon Cohen's co-authors include Tomer Koren, Tamir Hazan, Yishay Mansour, Assaf Razin, David Burkett, Efraim Sadka, Dan Klein, David Hall, Moshe Schwartz and Haim Kaplan and has published in prestigious journals such as Physica A Statistical Mechanics and its Applications, Theoretical Computer Science and International Review of Law and Economics.

In The Last Decade

Alon Cohen

11 papers receiving 52 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alon Cohen Israel	5	30	17	7	7	7	12	52
Masatoshi Uehara United States	4	18 0.6×	16 0.9×	9 1.3×	3 0.4×	2 0.3×	14	53
Aldo Pacchiano United States	4	53 1.8×	10 0.6×	3 0.4×	2 0.3×	5 0.7×	19	66
W. Sun United States	4	23 0.8×	18 1.1×	7 1.0×	5 0.7×	2 0.3×	10	36
Matthew Lepinski United States	2	47 1.6×	20 1.2×	11 1.6×		3 0.4×	3	58
Pierre Ménard France	4	21 0.7×	24 1.4×	15 2.1×	2 0.3×		8	47
Giuseppe Antonio Pierro Italy	4	15 0.5×	7 0.4×	16 2.3×	3 0.4×	4 0.6×	7	81
Laurent Perrussel France	6	53 1.8×	21 1.2×	5 0.7×	1 0.1×	5 0.7×	25	74
Kshitij Fadnis United States	4	50 1.7×	11 0.6×	3 0.4×	4 0.6×	3 0.4×	13	61
Noah Golowich United States	4	27 0.9×	23 1.4×	5 0.7×	1 0.1×		14	52
Ryan Rogers United States	6	80 2.7×	23 1.4×	18 2.6×	1 0.1×	23 3.3×	18	112

Countries citing papers authored by Alon Cohen

Since Specialization

Citations

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

Fields of papers citing papers by Alon Cohen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alon Cohen

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

All Works

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

1.

Cohen, Alon, et al.. (2023). Learning approximately optimal contracts. Theoretical Computer Science. 980. 114219–114219. 1 indexed citations

2.

Feder, Amir, Avichai Tendler, Alon Cohen, et al.. (2021). Learning and Evaluating a Differentially Private Pre-trained Language Model. 21–29. 4 indexed citations

3.

Cohen, Alon, et al.. (2020). Near-optimal Regret Bounds for Stochastic Shortest Path. International Conference on Machine Learning. 1. 8210–8219. 2 indexed citations

4.

Cohen, Alon, Tomer Koren, & Yishay Mansour. (2019). Learning Linear-Quadratic Regulators Efficiently with only √ T Regret. International Conference on Machine Learning. 1300–1309. 12 indexed citations

5.

Cohen, Alon & Avraham D. Tabbach. (2019). Informational Negligence Law. American Law and Economics Review. 21(1). 110–149.

6.

Cohen, Alon, Tamir Hazan, & Tomer Koren. (2017). Tight Bounds for Bandit Combinatorial Optimization. arXiv (Cornell University). 629–642. 1 indexed citations

7.

Cohen, Alon, Tamir Hazan, & Tomer Koren. (2016). Online learning with feedback graphs without the graphs. International Conference on Machine Learning. 811–819. 6 indexed citations

8.

Cohen, Alon, Shmuel Bialy, & Moshe Schwartz. (2016). The self consistent expansion applied to the factorial function. Physica A Statistical Mechanics and its Applications. 463. 503–508. 2 indexed citations

9.

Cohen, Alon & Tamir Hazan. (2015). Following the Perturbed Leader for Online Structured Learning. International Conference on Machine Learning. 1034–1042. 6 indexed citations

10.

Hall, David, Alon Cohen, David Burkett, & Dan Klein. (2013). Faster Optimal Planning with Partial-Order Pruning. Proceedings of the International Conference on Automated Planning and Scheduling. 23. 100–108. 9 indexed citations

11.

Cohen, Alon. (2013). Independent judicial review: A blessing in disguise. International Review of Law and Economics. 37. 209–220. 2 indexed citations

12.

Cohen, Alon, Assaf Razin, & Efraim Sadka. (2009). The Skill Composition of Migration and the Generosity of the Welfare State. NBER Working Paper No. 14738.. National Bureau of Economic Research. 7 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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