Ohad Shamir

82 papers and 2.4k indexed citations i.

About

Ohad Shamir is a scholar working on Artificial Intelligence, Computational Mechanics and Management Science and Operations Research. According to data from OpenAlex, Ohad Shamir has authored 82 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Artificial Intelligence, 29 papers in Computational Mechanics and 24 papers in Management Science and Operations Research. Recurrent topics in Ohad Shamir’s work include Machine Learning and Algorithms (39 papers), Stochastic Gradient Optimization Techniques (32 papers) and Sparse and Compressive Sensing Techniques (28 papers). Ohad Shamir is often cited by papers focused on Machine Learning and Algorithms (39 papers), Stochastic Gradient Optimization Techniques (32 papers) and Sparse and Compressive Sensing Techniques (28 papers). Ohad Shamir collaborates with scholars based in Israel, United States and United Kingdom. Ohad Shamir's co-authors include Shai Shalev‐Shwartz, Ofer Dekel, Tong Zhang, Lin Xiao, Karthik Sridharan, Nathan Srebro, Ran Gilad-Bachrach, Ronen Eldan, Naftali Tishby and Nati Srebro and has published in prestigious journals such as Nucleic Acids Research, IEEE Transactions on Information Theory and The Annals of Statistics.

In The Last Decade

Co-authorship network of co-authors of Ohad Shamir i

Fields of papers citing papers by Ohad Shamir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ohad Shamir

Since Specialization
Citations

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