Elad Hazan

90 papers and 6.9k indexed citations i.

About

Elad Hazan is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computational Mechanics. According to data from OpenAlex, Elad Hazan has authored 90 papers receiving a total of 6.9k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Artificial Intelligence, 58 papers in Management Science and Operations Research and 30 papers in Computational Mechanics. Recurrent topics in Elad Hazan’s work include Advanced Bandit Algorithms Research (57 papers), Machine Learning and Algorithms (40 papers) and Sparse and Compressive Sensing Techniques (30 papers). Elad Hazan is often cited by papers focused on Advanced Bandit Algorithms Research (57 papers), Machine Learning and Algorithms (40 papers) and Sparse and Compressive Sensing Techniques (30 papers). Elad Hazan collaborates with scholars based in United States, Israel and United Kingdom. Elad Hazan's co-authors include Yoram Singer, John C. Duchi, Satyen Kale, Amit Agarwal, Sanjeev Arora, Alexander Rakhlin, Jacob Abernethy, Dan Garber, Peter L. Bartlett and Tomer Koren and has published in prestigious journals such as IEEE Transactions on Information Theory, Operations Research and Journal of the ACM.

In The Last Decade

Co-authorship network of co-authors of Elad Hazan i

Fields of papers citing papers by Elad Hazan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Elad Hazan

Since Specialization
Citations

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