Shai Shalev‐Shwartz

80 papers and 4.0k indexed citations i.

About

Shai Shalev‐Shwartz is a scholar working on Artificial Intelligence, Computational Mechanics and Management Science and Operations Research. According to data from OpenAlex, Shai Shalev‐Shwartz has authored 80 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Artificial Intelligence, 24 papers in Computational Mechanics and 20 papers in Management Science and Operations Research. Recurrent topics in Shai Shalev‐Shwartz’s work include Machine Learning and Algorithms (50 papers), Sparse and Compressive Sensing Techniques (24 papers) and Stochastic Gradient Optimization Techniques (18 papers). Shai Shalev‐Shwartz is often cited by papers focused on Machine Learning and Algorithms (50 papers), Sparse and Compressive Sensing Techniques (24 papers) and Stochastic Gradient Optimization Techniques (18 papers). Shai Shalev‐Shwartz collaborates with scholars based in Israel, United States and Canada. Shai Shalev‐Shwartz's co-authors include Yoram Singer, Nathan Srebro, Andrew Cotter, John C. Duchi, Tushar Chandra, Ohad Shamir, Tong Zhang, Ambuj Tewari, Tong Zhang and Karthik Sridharan and has published in prestigious journals such as IEEE Transactions on Information Theory, Mathematical Programming and Machine Learning.

In The Last Decade

Co-authorship network of co-authors of Shai Shalev‐Shwartz i

Fields of papers citing papers by Shai Shalev‐Shwartz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shai Shalev‐Shwartz. 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 Shai Shalev‐Shwartz. The network helps show where Shai Shalev‐Shwartz may publish in the future.

Countries citing papers authored by Shai Shalev‐Shwartz

Since Specialization
Citations

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