Ofir Nachum

99 total papers · 4.0k total citations
23 papers, 482 citations indexed

About

Ofir Nachum is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Ofir Nachum has authored 23 papers receiving a total of 482 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Molecular Biology. Recurrent topics in Ofir Nachum's work include Reinforcement Learning in Robotics (15 papers), Adversarial Robustness in Machine Learning (3 papers) and Simulation Techniques and Applications (2 papers). Ofir Nachum is often cited by papers focused on Reinforcement Learning in Robotics (15 papers), Adversarial Robustness in Machine Learning (3 papers) and Simulation Techniques and Applications (2 papers). Ofir Nachum collaborates with scholars based in United States, Canada and United Kingdom. Ofir Nachum's co-authors include Shixiang Gu, Sergey Levine, Honglak Lee, Tien-Ju Yang, Hao Wu, Bo Chen, Edward Choi, Elad Eban, Ariel Gordon and Dale Schuurmans and has published in prestigious journals such as arXiv (Cornell University), International Conference on Machine Learning and International Conference on Learning Representations.

In The Last Decade

Ofir Nachum

23 papers receiving 465 citations

Author Peers

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

Author						Papers	Cites
Ofir Nachum	317	189	65	48	45	23	482
Hirotaka Hachiya	334 1.1×	145 0.8×	72 1.1×	37 0.8×	35 0.8×	39	540
Lipo Wang	267 0.8×	117 0.6×	47 0.7×	63 1.3×	52 1.2×	14	497
Daniel J. Mankowitz	299 0.9×	79 0.4×	124 1.9×	76 1.6×	68 1.5×	19	527
Nailah Al–Madi	308 1.0×	78 0.4×	43 0.7×	68 1.4×	62 1.4×	26	537
Kai Huang	351 1.1×	164 0.9×	34 0.5×	29 0.6×	42 0.9×	26	535
Rein Houthooft	349 1.1×	66 0.3×	80 1.2×	58 1.2×	48 1.1×	14	503
Ioan-Daniel Borlea	207 0.7×	82 0.4×	127 2.0×	67 1.4×	49 1.1×	17	466
Rajeswari Mandava	228 0.7×	176 0.9×	57 0.9×	36 0.8×	30 0.7×	25	497
Quan Pan	148 0.5×	209 1.1×	39 0.6×	60 1.3×	28 0.6×	36	481
Anton Akusok	322 1.0×	79 0.4×	39 0.6×	90 1.9×	81 1.8×	24	466

Countries citing papers authored by Ofir Nachum

Since Specialization

Citations

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

Fields of papers citing papers by Ofir Nachum

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ofir Nachum

This figure shows the co-authorship network connecting the top 25 collaborators of Ofir Nachum. A scholar is included among the top collaborators of Ofir Nachum 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 Ofir Nachum. Ofir Nachum 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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