Shalev-ShwartzShai

10 papers and 653 indexed citations i.

About

Shalev-ShwartzShai is a scholar working on Artificial Intelligence, Computer Networks and Communications and Control and Systems Engineering. According to data from OpenAlex, Shalev-ShwartzShai has authored 10 papers receiving a total of 653 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 2 papers in Computer Networks and Communications and 2 papers in Control and Systems Engineering. Recurrent topics in Shalev-ShwartzShai’s work include Neural Networks and Applications (3 papers), Machine Learning and ELM (2 papers) and Control Systems and Identification (2 papers). Shalev-ShwartzShai is often cited by papers focused on Neural Networks and Applications (3 papers), Machine Learning and ELM (2 papers) and Control Systems and Identification (2 papers). Shalev-ShwartzShai collaborates with scholars based in and . Shalev-ShwartzShai's co-authors include SingerYoram and has published in prestigious journals such as Mathematical Programming and Journal of Machine Learning Research.

In The Last Decade

Co-authorship network of co-authors of Shalev-ShwartzShai i

Fields of papers citing papers by Shalev-ShwartzShai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shalev-ShwartzShai. 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 Shalev-ShwartzShai. The network helps show where Shalev-ShwartzShai may publish in the future.

Countries citing papers authored by Shalev-ShwartzShai

Since Specialization
Citations

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