Ran Gilad-Bachrach

About

Ran Gilad-Bachrach is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research. According to data from OpenAlex, Ran Gilad-Bachrach has authored 27 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 3 papers in Management Science and Operations Research. Recurrent topics in Ran Gilad-Bachrach’s work include Machine Learning and Data Classification (5 papers), Machine Learning and Algorithms (4 papers) and Cryptography and Data Security (4 papers). Ran Gilad-Bachrach is often cited by papers focused on Machine Learning and Data Classification (5 papers), Machine Learning and Algorithms (4 papers) and Cryptography and Data Security (4 papers). Ran Gilad-Bachrach collaborates with scholars based in Israel, United States and Czechia. Ran Gilad-Bachrach's co-authors include Naftali Tishby, Amir Navot, Kim Laine, Kristin Lauter, Nathan Dowlin, Michael Naehrig, John Wernsing, Lin Xiao, Ofer Dekel and Ohad Shamir and has published in prestigious journals such as Proceedings of the IEEE, Sensors and Preventive Medicine.

In The Last Decade

Co-authorship network of co-authors of Ran Gilad-Bachrach i

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Fields of papers citing papers by Ran Gilad-Bachrach

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ran Gilad-Bachrach. 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 Ran Gilad-Bachrach. The network helps show where Ran Gilad-Bachrach may publish in the future.

Countries citing papers authored by Ran Gilad-Bachrach

Since Specialization

Citations

This map shows the geographic impact of Ran Gilad-Bachrach'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 Ran Gilad-Bachrach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ran Gilad-Bachrach 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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