Dan Friedman
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Domain Adaptation and Few-Shot Learning
- Advanced Graph Neural Networks
- Hematology top 10%
- Acute Myeloid Leukemia Research
Papers in
-
- Topic Modeling 8
- Natural Language Processing Techniques 7
- Speech and dialogue systems 2
- Domain Adaptation and Few-Shot Learning 2
-
- American Constitutional Law and Politics 5
- Co-authors
- Danqi Chen (6 shared papers)Zexuan Zhong (1 shared paper)Jungo Kasai (2 shared papers)Irene Li (1 shared paper)Michihiro Yasunaga (1 shared paper)Dragomir Radev (1 shared paper)Rui Zhang (1 shared paper)Alexander R. Fabbri (1 shared paper)
- Journals
- TDR/The Drama Review (2 papers)Journal of Architectural Education (1 paper)Maryland law review (1 paper)Topoi (1 paper)Cell Reports (1 paper)
- Partner nations
- United StatesSouth SudanCanada
In The Last Decade
Dan Friedman
27 papers receiving 485 citations
Peers
Comparison fields: 5 of 84
- Artificial Intelligence 327
- Hematology 80
- Computer Vision and Pattern Recognition 95
- Health Informatics 4
- Molecular Biology 111
Countries citing papers authored by Dan Friedman
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).
Fields of papers citing papers by Dan Friedman
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.
Co-authors
The 25 scholars most cited alongside Dan Friedman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 187 | |
| 2 | 2019 | 120 | |
| 3 | 2013 | 104 | |
| 4 | 2024 | 36 | |
| 5 | 1989 | 14 | |
| 6 | 2021 | 12 | |
| 7 | 2022 | 5 | |
| 8 | 2004 | 5 | |
| 9 | Linguistically Rich Vector Representations of Supertags for TAG Parsing | 2017 | 4 |
| 10 | 1993 | 3 | |
| 11 | 2023 | 2 | |
| 12 | Angels in the American Theater: Patrons, Patronage, and Philanthropy | 2007 | 2 |
| 13 | Dan Friedman: Radical Modernism | 1994 | 2 |
| 14 | 2011 | 2 | |
| 15 | 1993 | 2 | |
| 16 | Faculty Development for the University of South Carolina's First-Year Experience Course. | 2019 | 1 |
| 17 | Magnificent Failure Revisited: Modern Maryland Constitutional Law from 1967 to 1998 | 1999 | 1 |
| 18 | 2005 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2004 | 1 |
About Dan Friedman
Dan Friedman is a scholar working on Artificial Intelligence, Political Science and International Relations, Computer Networks and Communications, Economics and Econometrics and Visual Arts and Performing Arts, having authored 30 papers that have together received 512 indexed citations. Recurring topics across this work include Topic Modeling (8 papers), Natural Language Processing Techniques (7 papers), American Constitutional Law and Politics (5 papers), Legal and Constitutional Studies (3 papers), Theatre and Performance Studies (3 papers), Speech and dialogue systems (2 papers), Teaching and Learning Programming (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). The work is most often cited by research in Artificial Intelligence (327 citations), Hematology (80 citations), Computer Vision and Pattern Recognition (95 citations), Health Informatics (4 citations) and Molecular Biology (111 citations). Dan Friedman has collaborated with scholars based in United States, South Sudan and Canada. Frequent co-authors include Danqi Chen, Zexuan Zhong, Jungo Kasai, Irene Li, Michihiro Yasunaga, Dragomir Radev, Rui Zhang, Alexander R. Fabbri, Dalia Goldenberg and Amos Tanay. Their work appears in journals such as TDR/The Drama Review, Journal of Architectural Education, Maryland law review, Topoi and Cell Reports.
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.