Tom Zahavy

74 total papers · 926 total citations
20 papers, 251 citations indexed

About

Tom Zahavy is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Radiation. According to data from OpenAlex, Tom Zahavy has authored 20 papers receiving a total of 251 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 2 papers in Atomic and Molecular Physics, and Optics and 2 papers in Radiation. Recurrent topics in Tom Zahavy's work include Reinforcement Learning in Robotics (9 papers), Adversarial Robustness in Machine Learning (4 papers) and Advanced Bandit Algorithms Research (2 papers). Tom Zahavy is often cited by papers focused on Reinforcement Learning in Robotics (9 papers), Adversarial Robustness in Machine Learning (4 papers) and Advanced Bandit Algorithms Research (2 papers). Tom Zahavy collaborates with scholars based in Israel, United Kingdom and United States. Tom Zahavy's co-authors include Shie Mannor, Daniel J. Mankowitz, Chen Tessler, Alessandro Magnani, Robert Tjarko Lange, Valentin Dalibard, Yutian Chen, Or Peleg, Oren Cohen and Tom Schaul and has published in prestigious journals such as Optics Express, arXiv (Cornell University) and Neural Information Processing Systems.

In The Last Decade

Tom Zahavy

19 papers receiving 238 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Tom Zahavy	175	62	27	24	19	20	251
Wenbin Hu	153 0.9×	66 1.1×	7 0.3×	23 1.0×	12 0.6×	30	312
Stefano Ermon	97 0.6×	32 0.5×	14 0.5×	21 0.9×	19 1.0×	29	187
Robert W. McLaren	69 0.4×	105 1.7×	29 1.1×	12 0.5×	8 0.4×	16	232
Wenhao Li	80 0.5×	68 1.1×	16 0.6×	24 1.0×	7 0.4×	20	190
Jüri Lember	116 0.7×	35 0.6×	9 0.3×	20 0.8×	14 0.7×	27	209
Jun Tang	67 0.4×	83 1.3×	27 1.0×	61 2.5×	19 1.0×	21	272
Max Simchowitz	139 0.8×	66 1.1×	28 1.0×	37 1.5×	39 2.1×	18	320
Michael Quinlan	101 0.6×	68 1.1×	63 2.3×	27 1.1×	19 1.0×	25	273
Fuad M. Alkoot	160 0.9×	156 2.5×	15 0.6×	19 0.8×	10 0.5×	21	328
Li Zeng	110 0.6×	18 0.3×	12 0.4×	92 3.8×	22 1.2×	13	316

Countries citing papers authored by Tom Zahavy

Since Specialization

Citations

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

Fields of papers citing papers by Tom Zahavy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tom Zahavy

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

All Works

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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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