Boaz Nadler

88 papers and 4.6k indexed citations i.

About

Boaz Nadler is a scholar working on Artificial Intelligence, Statistics and Probability and Computer Vision and Pattern Recognition. According to data from OpenAlex, Boaz Nadler has authored 88 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 28 papers in Statistics and Probability and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in Boaz Nadler’s work include Random Matrices and Applications (14 papers), Bayesian Methods and Mixture Models (13 papers) and Sparse and Compressive Sensing Techniques (13 papers). Boaz Nadler is often cited by papers focused on Random Matrices and Applications (14 papers), Bayesian Methods and Mixture Models (13 papers) and Sparse and Compressive Sensing Techniques (13 papers). Boaz Nadler collaborates with scholars based in Israel, United States and Germany. Boaz Nadler's co-authors include Ronald R. Coifman, Stéphane Lafon, Ioannis G. Kevrekidis, Mauro Maggioni, Steven W. Zucker, Frederick Warner, Shira Kritchman, Bob Eisenberg, Z. Schuss and Amit Singer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and The Journal of Chemical Physics.

In The Last Decade

Co-authorship network of co-authors of Boaz Nadler i

Fields of papers citing papers by Boaz Nadler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Boaz Nadler

Since Specialization
Citations

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