Dan Friedman

928 total citations
25 papers, 456 citations indexed

About

Dan Friedman is a scholar working on Artificial Intelligence, Political Science and International Relations and Economics and Econometrics. According to data from OpenAlex, Dan Friedman has authored 25 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Political Science and International Relations and 3 papers in Economics and Econometrics. Recurrent topics in Dan Friedman's work include Topic Modeling (8 papers), Natural Language Processing Techniques (7 papers) and American Constitutional Law and Politics (5 papers). Dan Friedman is often cited by papers focused on Topic Modeling (8 papers), Natural Language Processing Techniques (7 papers) and American Constitutional Law and Politics (5 papers). Dan Friedman collaborates with scholars based in United States, Argentina and Israel. Dan Friedman's co-authors include Danqi Chen, Zexuan Zhong, Jungo Kasai, Michihiro Yasunaga, Rui Zhang, Alexander R. Fabbri, Irene Li, Dragomir Radev, Joseph Lotem and Kira Orlovsky and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Cell Reports.

In The Last Decade

Dan Friedman

18 papers receiving 430 citations

Peers

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).

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.

Co-authorship network of co-authors of Dan Friedman

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Friedman. A scholar is included among the top collaborators of Dan Friedman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dan Friedman. Dan Friedman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Embers of autoregression show how large language models are shaped by the problem they are trained to solve 2024 ·Proceedings of the National Academy of Sciences ·R. Thomas McCoy, Shunyu Yao, Dan Friedman, (unknown), Thomas L. Griffiths	28
2	The Heuristic Core: Understanding Subnetwork Generalization in Pretrained Language Models 2024 ·(unknown), Dan Friedman, Danqi Chen	1
3	Measuring Inductive Biases of In-Context Learning with Underspecified Demonstrations 2023 ·Chenglei Si, Dan Friedman, (unknown), (unknown), Danqi Chen, He He	2
4	Finding Dataset Shortcuts with Grammar Induction 2022 ·Dan Friedman, (unknown), Danqi Chen	4
5	Factual Probing Is [MASK]: Learning vs. Learning to Recall 2021 ·Zexuan Zhong, Dan Friedman, Danqi Chen	172
6	Performance Activism 2021 ·Dan Friedman	0
7	Single-dataset Experts for Multi-dataset Question Answering 2021 ·Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing ·Dan Friedman, (unknown), Danqi Chen	12
8	Faculty Development for the University of South Carolina's First-Year Experience Course. 2019 ·The journal of faculty development ·Dan Friedman, (unknown), (unknown)	1
9	ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks 2019 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Michihiro Yasunaga, Jungo Kasai, Rui Zhang, Alexander R. Fabbri, Irene Li, Dan Friedman, Dragomir Radev	102
10	Linguistically Rich Vector Representations of Supertags for TAG Parsing 2017 ·Dan Friedman, Jungo Kasai, R. Thomas McCoy, Robert Frank, (unknown), Owen Rambow	4
11	Addiction of t(8;21) and inv(16) Acute Myeloid Leukemia to Native RUNX1 2013 ·Cell Reports ·(unknown), Dan Friedman, Dena Leshkowitz, Dalia Goldenberg, Kira Orlovsky, Niv Pencovich, Joseph Lotem, Amos Tanay, Yoram Groner	103
12	Good-Bye Ideology. Hello Performance 2011 ·Topoi ·Dan Friedman	0
13	WALKING THE WIRE 2011 ·Dan Friedman	2
14	Angels in the American Theater: Patrons, Patronage, and Philanthropy 2007 ·(unknown), (unknown), (unknown), (unknown), (unknown), Dan Friedman	2
15	The Maryland State Constitution 2005 ·Praeger eBooks ·Dan Friedman	1
16	Economics Lab 2004 ·Alessandra Cassar, Dan Friedman	5
17	A Performance Community Onstage and on the Street Castillo Theatre and Heiner Müller's Germania 3 2003 ·TDR/The Drama Review ·Dan Friedman	0
18	Tracing the Lineage: Textual and Conceptual Similarities in the Revolutionary-Era State Declarations of Rights of Virginia, Maryland, and Delaware 2002 ·Dan Friedman	0
19	Magnificent Failure Revisited: Modern Maryland Constitutional Law from 1967 to 1998 1999 ·Maryland law review ·Dan Friedman	0
20	Public Things in the Modern City: Belated Notes on Tilted Arc and the Vietnam Veterans Memorial 1995 ·Journal of Architectural Education ·Dan Friedman	0

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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