Peter Potash

468 total citations
17 papers, 193 citations indexed

About

Peter Potash is a scholar working on Artificial Intelligence, Information Systems and Sociology and Political Science. According to data from OpenAlex, Peter Potash has authored 17 papers receiving a total of 193 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 4 papers in Information Systems and 3 papers in Sociology and Political Science. Recurrent topics in Peter Potash's work include Topic Modeling (10 papers), Natural Language Processing Techniques (4 papers) and Advanced Text Analysis Techniques (3 papers). Peter Potash is often cited by papers focused on Topic Modeling (10 papers), Natural Language Processing Techniques (4 papers) and Advanced Text Analysis Techniques (3 papers). Peter Potash collaborates with scholars based in United States, United Kingdom and Cayman Islands. Peter Potash's co-authors include Anna Rumshisky, Alexey Romanov, Timothy J. Hazen, William Boag, Vasili Ramanishka, Eric B. Bell, Keming Lu, Tristan Naumann, Yuwen Sun and Yuan Zheng and has published in prestigious journals such as Journal of the Early Republic, Historical Methods A Journal of Quantitative and Interdisciplinary History and Der Nervenarzt.

In The Last Decade

Peter Potash

16 papers receiving 172 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Peter Potash United States 6 148 48 45 37 22 17 193
Chloé Kiddon United States 6 239 1.6× 85 1.8× 30 0.7× 43 1.2× 9 0.4× 8 301
Amruta Purandare United States 9 234 1.6× 34 0.7× 50 1.1× 28 0.8× 23 1.0× 13 292
Luis Chiruzzo Uruguay 9 233 1.6× 56 1.2× 81 1.8× 28 0.8× 6 0.3× 46 296
Ringki Das India 5 166 1.1× 43 0.9× 15 0.3× 11 0.3× 15 0.7× 7 209
Nabil Hossain United States 6 88 0.6× 45 0.9× 68 1.5× 11 0.3× 11 0.5× 11 135
Raquel Justo Spain 8 181 1.2× 32 0.7× 29 0.6× 21 0.6× 28 1.3× 30 238
Yen-Hao Huang Taiwan 5 150 1.0× 17 0.4× 32 0.7× 25 0.7× 9 0.4× 13 209
Hua Ai United States 9 199 1.3× 21 0.4× 22 0.5× 17 0.5× 19 0.9× 17 245
Benjamin Börschinger Australia 7 257 1.7× 42 0.9× 11 0.2× 26 0.7× 10 0.5× 13 297
Ashraf Kamal India 6 185 1.3× 16 0.3× 18 0.4× 49 1.3× 24 1.1× 8 218

Countries citing papers authored by Peter Potash

Since Specialization
Citations

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

Fields of papers citing papers by Peter Potash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Potash

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Potash. A scholar is included among the top collaborators of Peter Potash 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 Peter Potash. Peter Potash is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Lu, Keming, Peter Potash, Xihui Lin, et al.. (2023). Prompt Discriminative Language Models for Domain Adaptation. 247–258. 4 indexed citations
2.
Potash, Peter, et al.. (2019). Ranking Passages for Argument Convincingness. 146–155. 6 indexed citations
3.
Potash, Peter, et al.. (2017). Length, Interchangeability, and External Knowledge: Observations from Predicting Argument Convincingness. International Joint Conference on Natural Language Processing. 1. 342–351. 6 indexed citations
4.
Potash, Peter, Alexey Romanov, & Anna Rumshisky. (2017). Here's My Point: Argumentation Mining with Pointer Networks. arXiv (Cornell University). 2 indexed citations
5.
6.
Potash, Peter, Alexey Romanov, & Anna Rumshisky. (2017). Here's My Point: Joint Pointer Architecture for Argument Mining. 1364–1373. 38 indexed citations
7.
Potash, Peter & Anna Rumshisky. (2017). Towards Debate Automation: a Recurrent Model for Predicting Debate Winners. 2465–2475. 15 indexed citations
8.
Potash, Peter, Alexey Romanov, & Anna Rumshisky. (2017). SemEval-2017 Task 6: #HashtagWars: Learning a Sense of Humor. 49–57. 47 indexed citations
9.
Potash, Peter, William Boag, Alexey Romanov, Vasili Ramanishka, & Anna Rumshisky. (2016). SimiHawk at SemEval-2016 Task 1: A Deep Ensemble System for Semantic Textual Similarity. 741–748. 4 indexed citations
10.
Potash, Peter & Anna Rumshisky. (2016). Recommender System Incorporating User Personality Profile through Analysis of Written Reviews.. Conference on Recommender Systems. 60–66. 3 indexed citations
11.
Potash, Peter, et al.. (2016). Using Topic Modeling and Text Embeddings to Predict Deleted Tweets. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 4 indexed citations
12.
Boag, William, Peter Potash, & Anna Rumshisky. (2015). TwitterHawk: A Feature Bucket Based Approach to Sentiment Analysis. 640–646. 5 indexed citations
13.
Potash, Peter, Alexey Romanov, & Anna Rumshisky. (2015). GhostWriter: Using an LSTM for Automatic Rap Lyric Generation. 1919–1924. 55 indexed citations
14.
Potash, Peter. (2003). Modeling Human Behavior as a Factor in the Dynamics of an Outbreak of Pneumonic Plague. Der Nervenarzt. 68(4). 351–7. 1 indexed citations
15.
Potash, Peter. (1994). Systems Thinking, Dynamic Modeling, and Teaching History in the Classroom. Historical Methods A Journal of Quantitative and Interdisciplinary History. 27(1). 25–39. 1 indexed citations
16.
Potash, Peter, et al.. (1992). Vermont's Burned-Over District: Patterns of Community Development and Religious Activity, 1761-1850. Journal of the Early Republic. 12(3). 390–390. 1 indexed citations
17.
Potash, Peter, et al.. (1979). Litigious Vermonters : court records to 1825. ScholarWorks -A service of University of Vermont Libraries (University of Vermont).

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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