Dan Gutfreund

21 papers and 386 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 386 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), Human Pose and Action Recognition (4 papers) and Cryptography and Data Security (4 papers). Dan Gutfreund is often cited by papers focused on Combinatorial Optimization and Complexity Theory (5 papers), Human Pose and Action Recognition (4 papers) and Cryptography and Data Security (4 papers). Dan Gutfreund collaborates with scholars based in United States, Israel and United Kingdom. Dan Gutfreund's co-authors include Joshua B. Tenenbaum, Akinori Kawachi, Akash Srivastava, Chuang Gan and Aude Oliva 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

Fields of papers citing papers by Dan Gutfreund

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Dan Gutfreund. Nodes represent fields, and links connect fields that are likely to share authors. 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 by CCL
2025