Greg Durrett

4.1k total citations
75 papers, 1.6k citations indexed

About

Greg Durrett is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Greg Durrett has authored 75 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 10 papers in Information Systems. Recurrent topics in Greg Durrett's work include Topic Modeling (63 papers), Natural Language Processing Techniques (55 papers) and Software Engineering Research (9 papers). Greg Durrett is often cited by papers focused on Topic Modeling (63 papers), Natural Language Processing Techniques (55 papers) and Software Engineering Research (9 papers). Greg Durrett collaborates with scholars based in United States, Australia and India. Greg Durrett's co-authors include Dan Klein, Jiacheng Xu, Yasumasa Onoe, John DeNero, Junyi Jessy Li, Tanya Goyal, Liyan Tang, David Hall, Justin F. Rousseau and Xi Ye and has published in prestigious journals such as Journal of Pediatric Surgery, npj Digital Medicine and Transactions of the Association for Computational Linguistics.

In The Last Decade

Greg Durrett

69 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Greg Durrett United States 21 1.3k 210 145 105 99 75 1.6k
Jason Wei United States 11 1.1k 0.9× 203 1.0× 173 1.2× 45 0.4× 58 0.6× 16 1.4k
Anna Rumshisky United States 23 1.5k 1.2× 152 0.7× 96 0.7× 57 0.5× 520 5.3× 71 1.7k
Paul Kingsbury United States 9 2.1k 1.6× 119 0.6× 136 0.9× 47 0.4× 376 3.8× 16 2.4k
John Pavlopoulos Greece 13 1.5k 1.2× 125 0.6× 218 1.5× 48 0.5× 20 0.2× 42 1.8k
Eric Wallace United States 12 857 0.7× 287 1.4× 94 0.6× 21 0.2× 22 0.2× 20 1.1k
Ben Hachey Australia 18 758 0.6× 30 0.1× 99 0.7× 61 0.6× 85 0.9× 46 973
Bhuwan Dhingra United States 10 689 0.5× 117 0.6× 69 0.5× 70 0.7× 75 0.8× 32 874
Adam Fisch United States 6 1.7k 1.3× 554 2.6× 254 1.8× 15 0.1× 73 0.7× 11 1.8k
Jinho D. Choi United States 20 993 0.8× 73 0.3× 115 0.8× 71 0.7× 159 1.6× 91 1.2k
Henry R. Ehrenberg United States 5 499 0.4× 98 0.5× 107 0.7× 9 0.1× 68 0.7× 7 670

Countries citing papers authored by Greg Durrett

Since Specialization
Citations

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

Fields of papers citing papers by Greg Durrett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Greg Durrett

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

All Works

20 of 20 papers shown
1.
Durrett, Greg, et al.. (2024). SynthesizRR: Generating Diverse Datasets with Retrieval Augmentation. 19200–19227. 1 indexed citations
2.
Chen, Jifan, et al.. (2024). Complex Claim Verification with Evidence Retrieved in the Wild. 3569–3587. 4 indexed citations
3.
Li, Junyi Jessy, et al.. (2024). Learning to Refine with Fine-Grained Natural Language Feedback. 12281–12308. 1 indexed citations
4.
5.
Tang, Liyan, Philippe Laban, & Greg Durrett. (2024). MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents. 8818–8847. 8 indexed citations
6.
7.
Goyal, Tanya, et al.. (2023). WiCE: Real-World Entailment for Claims in Wikipedia. 7561–7583. 7 indexed citations
8.
Tang, Liyan, Tanya Goyal, Philippe Laban, et al.. (2023). Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors. 11626–11644. 21 indexed citations
9.
Goyal, Tanya, Junyi Jessy Li, & Greg Durrett. (2022). SNaC: Coherence Error Detection for Narrative Summarization. 444–463. 15 indexed citations
10.
Chen, Jifan, et al.. (2022). Generating Literal and Implied Subquestions to Fact-check Complex Claims. 3495–3516. 17 indexed citations
11.
Chaudhuri, Swarat, et al.. (2022). Natural Language Deduction through Search over Statement Compositions. 4871–4883. 10 indexed citations
12.
Onoe, Yasumasa, et al.. (2021). Modeling Fine-Grained Entity Types with Box Embeddings. 2051–2064. 32 indexed citations
13.
Onoe, Yasumasa & Greg Durrett. (2020). Interpretable Entity Representations through Large-Scale Typing. 612–624. 11 indexed citations
14.
Xu, Jiacheng & Greg Durrett. (2019). Neural Extractive Text Summarization with Syntactic Compression. 3290–3301. 81 indexed citations
15.
Xu, Jiacheng & Greg Durrett. (2018). Spherical Latent Spaces for Stable Variational Autoencoders. 4503–4513. 73 indexed citations
16.
Durrett, Greg & Dan Klein. (2013). Easy Victories and Uphill Battles in Coreference Resolution. 1971–1982. 115 indexed citations
17.
Berg-Kirkpatrick, Taylor, Greg Durrett, & Dan Klein. (2013). Unsupervised Transcription of Historical Documents. Meeting of the Association for Computational Linguistics. 207–217. 18 indexed citations
18.
Durrett, Greg, David Hall, & Dan Klein. (2013). Decentralized Entity-Level Modeling for Coreference Resolution. Meeting of the Association for Computational Linguistics. 114–124. 25 indexed citations
19.
Durrett, Greg & John DeNero. (2013). Supervised Learning of Complete Morphological Paradigms. North American Chapter of the Association for Computational Linguistics. 1185–1195. 78 indexed citations
20.
Durrett, Greg & Dan Klein. (2011). An Empirical Investigation of Discounting in Cross-Domain Language Models. Meeting of the Association for Computational Linguistics. 24–29. 1 indexed citations

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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