Dan Friedman
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Domain Adaptation and Few-Shot Learning
- Hematology top 10%
- Acute Myeloid Leukemia Research
Papers in
-
- Topic Modeling 8
- Natural Language Processing Techniques 7
- Speech and dialogue systems 2
- Text Readability and Simplification 2
-
- American Constitutional Law and Politics 5
- Legal Systems and Judicial Processes 2
- Co-authors
- Danqi Chen (6 shared papers)Zexuan Zhong (1 shared paper)Jungo Kasai (2 shared papers)Rui Zhang (1 shared paper)Irene Li (1 shared paper)Dragomir Radev (1 shared paper)Michihiro Yasunaga (1 shared paper)Alexander R. Fabbri (1 shared paper)
- Journals
- ACM SIGCOMM Computer Communication Review (1 paper)TDR/The Drama Review (1 paper)Journal of Architectural Education (1 paper)Cell Reports (1 paper)Maryland law review (1 paper)
- Partner nations
- United StatesArgentinaIsrael
In The Last Decade
Dan Friedman
18 papers receiving 430 citations
Peers
Comparison fields: 5 of 78
- Artificial Intelligence 290
- Hematology 81
- Computer Vision and Pattern Recognition 85
- Health Informatics 3
- Molecular Biology 109
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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 172 | |
| 2 | 2013 | 103 | |
| 3 | 2019 | 102 | |
| 4 | 2024 | 28 | |
| 5 | 1989 | 13 | |
| 6 | 2021 | 12 | |
| 7 | 2004 | 5 | |
| 8 | 2022 | 4 | |
| 9 | Linguistically Rich Vector Representations of Supertags for TAG Parsing | 2017 | 4 |
| 10 | 2023 | 2 | |
| 11 | Angels in the American Theater: Patrons, Patronage, and Philanthropy | 2007 | 2 |
| 12 | 2011 | 2 | |
| 13 | Dan Friedman: Radical Modernism | 1994 | 2 |
| 14 | 2024 | 1 | |
| 15 | Faculty Development for the University of South Carolina's First-Year Experience Course. | 2019 | 1 |
| 16 | 2005 | 1 | |
| 17 | The Maryland State Constitution: A Reference Guide | 2005 | 1 |
| 18 | 2000 | 1 | |
| 19 | Magnificent Failure Revisited: Modern Maryland Constitutional Law from 1967 to 1998 | 1999 | 0 |
| 20 | 1995 | 0 |
About Dan Friedman
Dan Friedman is a scholar working on Artificial Intelligence, Political Science and International Relations, Economics and Econometrics, Education and Visual Arts and Performing Arts, having authored 25 papers that have together received 456 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 (2 papers), Speech and dialogue systems (2 papers), Legal Systems and Judicial Processes (2 papers) and Text Readability and Simplification (2 papers). The work is most often cited by research in Artificial Intelligence (290 citations), Hematology (81 citations), Computer Vision and Pattern Recognition (85 citations), Health Informatics (3 citations) and Molecular Biology (109 citations). Dan Friedman has collaborated with scholars based in United States, Argentina and Israel. Frequent co-authors include Danqi Chen, Zexuan Zhong, Jungo Kasai, Rui Zhang, Irene Li, Dragomir Radev, Michihiro Yasunaga, Alexander R. Fabbri, Dalia Goldenberg and Kira Orlovsky. Their work appears in journals such as ACM SIGCOMM Computer Communication Review, TDR/The Drama Review, Journal of Architectural Education, Cell Reports and Maryland law review.
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.