Kevin Gimpel

19.1k total citations · 1 hit paper
81 papers, 2.8k citations indexed

About

Kevin Gimpel is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Kevin Gimpel has authored 81 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 3 papers in Information Systems. Recurrent topics in Kevin Gimpel's work include Natural Language Processing Techniques (66 papers), Topic Modeling (65 papers) and Speech Recognition and Synthesis (16 papers). Kevin Gimpel is often cited by papers focused on Natural Language Processing Techniques (66 papers), Topic Modeling (65 papers) and Speech Recognition and Synthesis (16 papers). Kevin Gimpel collaborates with scholars based in United States, Switzerland and Canada. Kevin Gimpel's co-authors include Noah A. Smith, Karen Livescu, Mohit Bansal, Brendan O’Connor, Nathan Schneider, Dipanjan Das, John Wieting, Jacob Eisenstein, Michael Heilman and Dani Yogatama and has published in prestigious journals such as IEEE Journal of Selected Topics in Signal Processing, Computational Linguistics and Transactions of the Association for Computational Linguistics.

In The Last Decade

Kevin Gimpel

74 papers receiving 2.6k citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics

2011 743 citations Kevin Gimpel, Nathan Schneider et al. profile →

Peers

Countries citing papers authored by Kevin Gimpel

Since Specialization

Citations

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

Fields of papers citing papers by Kevin Gimpel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Gimpel

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Gimpel. A scholar is included among the top collaborators of Kevin Gimpel 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 Kevin Gimpel. Kevin Gimpel 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	The Benefits of Label-Description Training for Zero-Shot Text Classification 2023 ·(unknown), Debanjan Ghosh, Kevin Gimpel	4
2	Baked-in State Probing 2022 ·Shubham Toshniwal, Sam Wiseman, Karen Livescu, Kevin Gimpel	0
3	On the Role of Supervision in Unsupervised Constituency Parsing 2020 ·Haoyue Shi, Karen Livescu, Kevin Gimpel	10
4	Discriminatively-Tuned Generative Classifiers for Robust Natural Language Inference 2020 ·(unknown), Tianyu Liu, Baobao Chang, Zhifang Sui, Kevin Gimpel	4
5	Beyond BLEU: Training Neural Machine Translation with Semantic Similarity 2019 ·John Wieting, Taylor Berg-Kirkpatrick, Kevin Gimpel, Graham Neubig	76
6	Learning Approximate Inference Networks for Structured Prediction 2018 ·arXiv (Cornell University) ·Lifu Tu, Kevin Gimpel	12
7	The CMU-ARK German-English Translation System 2018 ·Figshare ·Chris Dyer, Kevin Gimpel, Jonathan H. Clark, Noah A. Smith	0
8	Quasi-Synchronous Phrase Dependency Grammars for Machine Translation 2018 ·Figshare ·Kevin Gimpel, Noah A. Smith	1
9	Generative Models of Monolingual and Bilingual Gappy Patterns 2018 ·Research Showcase @ Carnegie Mellon University (Carnegie Mellon University) ·Kevin Gimpel, Noah A. Smith	1
10	Improved Part-of-Speech Tagging for Online Conversational Text with Word Clusters 2018 ·Figshare ·(unknown), Brendan O’Connor, Chris Dyer, Kevin Gimpel, Nathan Schneider, Noah A. Smith	152
11	End-to-End Neural Segmental Models for Speech Recognition 2017 ·IEEE Journal of Selected Topics in Signal Processing ·Hao Tang, Liang Lu, Lingpeng Kong, Kevin Gimpel, Karen Livescu, Chris Dyer, Noah A. Smith, Steve Renals	14
12	Pushing the Limits of Paraphrastic Sentence Embeddings with Millions of Machine Translations 2017 ·arXiv (Cornell University) ·John Wieting, Kevin Gimpel	8
13	Early Methods for Detecting Adversarial Images 2017 ·arXiv (Cornell University) ·Dan Hendrycks, Kevin Gimpel	47
14	Joint Modeling of Text and Acoustic-Prosodic Cues for Neural Parsing. 2017 ·arXiv (Cornell University) ·(unknown), Shubham Toshniwal, Mohit Bansal, Kevin Gimpel, Karen Livescu, Mari Ostendorf	3
15	Commonsense Knowledge Base Completion 2016 ·Xiang Li, (unknown), Lifu Tu, Kevin Gimpel	83
16	Generalizing and Improving Weight Initialization. 2016 ·arXiv (Cornell University) ·Dan Hendrycks, Kevin Gimpel	1
17	Tailoring Continuous Word Representations for Dependency Parsing 2014 ·Mohit Bansal, Kevin Gimpel, Karen Livescu	179
18	Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, June 9-14, 2013, Westin Peachtree Plaza Hotel, Atlanta, Georgia, USA 2013 ·(unknown), Brendan O’Connor, Chris Dyer, Kevin Gimpel, Nathan Schneider, Noah A. Smith	1
19	Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics breakdown → 2011 ·Kevin Gimpel, Nathan Schneider, Brendan O’Connor, Dipanjan Das, D. Quinn Mills, Jacob Eisenstein, Michael Heilman, Dani Yogatama, (unknown), Noah A. Smith	743
20	Logistic Normal Priors for Unsupervised Probabilistic Grammar Induction 2008 ·Edinburgh Research Explorer (University of Edinburgh) ·Shay B. Cohen, Kevin Gimpel, Noah A. Smith	45

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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