Dan Gutfreund

21 papers and 396 indexed citations i.

About

Dan Gutfreund is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Dan Gutfreund has authored 21 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 5 papers in Computational Theory and Mathematics. Recurrent topics in Dan Gutfreund’s work include Combinatorial Optimization and Complexity Theory (5 papers), Cryptography and Data Security (4 papers) and Reinforcement Learning in Robotics (4 papers). Dan Gutfreund is often cited by papers focused on Combinatorial Optimization and Complexity Theory (5 papers), Cryptography and Data Security (4 papers) and Reinforcement Learning in Robotics (4 papers). Dan Gutfreund collaborates with scholars based in United States, Israel and Japan. Dan Gutfreund's co-authors include Mathew Monfort, Kandan Ramakrishnan, Quanfu Fan, Alex Andonian, Aude Oliva, Lisa M. Brown, Sarah Adel Bargal, Bolei Zhou, Tom Yan and Carl Vondrick and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Machine Learning and Computer-Aided Design.

In The Last Decade

Co-authorship network of co-authors of Dan Gutfreund i

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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