Dan Friedman

17 papers and 349 indexed citations i.

About

Dan Friedman is a scholar working on Artificial Intelligence, Political Science and International Relations and Visual Arts and Performing Arts. According to data from OpenAlex, Dan Friedman has authored 17 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Political Science and International Relations and 2 papers in Visual Arts and Performing Arts. Recurrent topics in Dan Friedman’s work include Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Dan Friedman is often cited by papers focused on Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Dan Friedman collaborates with scholars based in United States and Israel. Dan Friedman's co-authors include Danqi Chen, Zexuan Zhong, Dalia Goldenberg, Dragomir Radev, Alexander R. Fabbri, Amos Tanay, Niv Pencovich, Rui Zhang, Dena Leshkowitz and Yoram Groner and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Cell Reports and ACM SIGCOMM Computer Communication Review.

In The Last Decade

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

Fields of papers citing papers by Dan Friedman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dan Friedman

Since Specialization
Citations

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