Ofir Nachum

20 papers and 372 indexed citations i.

About

Ofir Nachum is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Automotive Engineering. According to data from OpenAlex, Ofir Nachum has authored 20 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Automotive Engineering. Recurrent topics in Ofir Nachum’s work include Reinforcement Learning in Robotics (16 papers), Adversarial Robustness in Machine Learning (4 papers) and Autonomous Vehicle Technology and Safety (3 papers). Ofir Nachum is often cited by papers focused on Reinforcement Learning in Robotics (16 papers), Adversarial Robustness in Machine Learning (4 papers) and Autonomous Vehicle Technology and Safety (3 papers). Ofir Nachum collaborates with scholars based in United States, Canada and United Kingdom. Ofir Nachum's co-authors include Sergey Levine, Honglak Lee, Shixiang Gu, Eric Jang, Chelsea Finn, Julian Ibarz, Deirdre Quillen, Yinlam Chow, Dale Schuurmans and Mohammad Norouzi and has published in prestigious journals such as arXiv (Cornell University), neural information processing systems and International Conference on Machine Learning.

In The Last Decade

Co-authorship network of co-authors of Ofir Nachum i

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.

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).

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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2025