Dan Gutfreund

15 papers and 99 indexed citations
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About

Dan Gutfreund is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Dan Gutfreund has authored 15 papers receiving a total of 99 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 4 papers in Computational Theory and Mathematics and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Dan Gutfreund’s work include Reinforcement Learning in Robotics (4 papers), Complexity and Algorithms in Graphs (4 papers) and Cryptography and Data Security (3 papers). Dan Gutfreund is often cited by papers focused on Reinforcement Learning in Robotics (4 papers), Complexity and Algorithms in Graphs (4 papers) and Cryptography and Data Security (3 papers). Dan Gutfreund collaborates with scholars based in United States, Israel and United Kingdom. Dan Gutfreund's co-authors include Ronen Shaltiel, Amnon Ta‐Shma, Hana Chockler, Akash Srivastava, Faez Ahmed, Aryeh Kontorovich, Bracha Shapira, Akinori Kawachi, John M. Hitchcock and Lior Rokach and has published in prestigious journals such as Machine Learning, Computer-Aided Design and Information Processing Letters.

In The Last Decade

Co-authorship network of co-authors of Dan Gutfreund

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Gutfreund. A scholar is included among the top collaborators of Dan Gutfreund based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dan Gutfreund. Dan Gutfreund is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by Dan Gutfreund

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dan Gutfreund

Since Specialization
Citations

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