Kevin Knight

24.3k total citations · 2 hit papers
327 papers, 14.9k citations indexed

About

Kevin Knight is a scholar working on Artificial Intelligence, Epidemiology and Clinical Psychology. According to data from OpenAlex, Kevin Knight has authored 327 papers receiving a total of 14.9k indexed citations (citations by other indexed papers that have themselves been cited), including 174 papers in Artificial Intelligence, 63 papers in Epidemiology and 49 papers in Clinical Psychology. Recurrent topics in Kevin Knight's work include Natural Language Processing Techniques (155 papers), Topic Modeling (131 papers) and Substance Abuse Treatment and Outcomes (49 papers). Kevin Knight is often cited by papers focused on Natural Language Processing Techniques (155 papers), Topic Modeling (131 papers) and Substance Abuse Treatment and Outcomes (49 papers). Kevin Knight collaborates with scholars based in United States, Germany and Israel. Kevin Knight's co-authors include Daniel Marcu, D. Dwayne Simpson, Kenji Yamada, Philipp Koehn, Matthew L. Hiller, Jonathan Graehl, Sally Wade, Lodovico Balducci, Irene Langkilde and Wei Wang and has published in prestigious journals such as JAMA, SHILAP Revista de lepidopterología and Gastroenterology.

In The Last Decade

Kevin Knight

317 papers receiving 13.1k citations

Hit Papers

Abstract Meaning Representation for Sembanking 2004 2026 2011 2018 2013 2004 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin Knight United States 66 8.7k 2.2k 1.5k 1.4k 1.2k 327 14.9k
Mark Dredze United States 57 6.9k 0.8× 1.8k 0.8× 883 0.6× 687 0.5× 761 0.6× 251 13.8k
George Hripcsak United States 63 5.3k 0.6× 1.4k 0.7× 1.7k 1.1× 218 0.2× 263 0.2× 371 17.0k
Kenneth D. Mandl United States 62 1.5k 0.2× 3.1k 1.4× 2.5k 1.7× 359 0.3× 165 0.1× 299 12.9k
Enrico Coiera Australia 57 1.8k 0.2× 728 0.3× 3.1k 2.1× 246 0.2× 255 0.2× 312 12.3k
Peter Szolovits United States 48 7.0k 0.8× 2.2k 1.0× 537 0.4× 107 0.1× 451 0.4× 177 13.5k
Nigam H. Shah United States 62 5.2k 0.6× 1.4k 0.6× 667 0.5× 290 0.2× 197 0.2× 287 15.5k
Leo Anthony Celi United States 53 6.3k 0.7× 4.4k 2.0× 862 0.6× 143 0.1× 340 0.3× 413 17.8k
Daniel Shu Wei Ting Singapore 48 1.9k 0.2× 1.1k 0.5× 445 0.3× 187 0.1× 631 0.5× 184 12.9k
Susan A. Murphy United States 52 1.1k 0.1× 803 0.4× 3.2k 2.2× 1.9k 1.4× 186 0.2× 192 14.0k
Jiang Bian United States 40 2.4k 0.3× 490 0.2× 751 0.5× 239 0.2× 188 0.2× 422 7.2k

Countries citing papers authored by Kevin Knight

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Knight

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Knight

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Knight. A scholar is included among the top collaborators of Kevin Knight 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 Knight. Kevin Knight 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.
Cunningham, William E., Robin M. Nance, Carol E. Golin, et al.. (2019). Self-reported antiretroviral therapy adherence and viral load in criminal justice-involved populations. BMC Infectious Diseases. 19(1). 913–913. 6 indexed citations
2.
Pan, Xiaoman, Boliang Zhang, Jonathan May, et al.. (2017). Cross-lingual Name Tagging and Linking for 282 Languages. 1946–1958. 202 indexed citations
3.
Zhang, Boliang, Di Lu, Xiaoman Pan, et al.. (2017). Embracing Non-Traditional Linguistic Resources for Low-resource Language Name Tagging. International Joint Conference on Natural Language Processing. 1. 362–372. 6 indexed citations
4.
Knight, Kevin, et al.. (2014). Mapping Between English Strings and Reentrant Semantic Graphs. Language Resources and Evaluation. 4493–4498. 5 indexed citations
5.
Knight, Kevin, et al.. (2013). Dependency-Based Decipherment for Resource-Limited Machine Translation. 1668–1676. 14 indexed citations
6.
Chiang, David, et al.. (2013). Parsing Graphs with Hyperedge Replacement Grammars. Oxford University Research Archive (ORA) (University of Oxford). 924–932. 34 indexed citations
7.
Bonial, Claire, Shu Cai, Kira Griffitt, et al.. (2013). Abstract Meaning Representation for Sembanking. Edinburgh Research Explorer (University of Edinburgh). 178–186. 640 indexed citations breakdown →
8.
Bonial, Claire, Shu Cai, Kira Griffitt, et al.. (2013). Proceedings of the 7th Linguistic Annotation Workshop and Interoperability with Discourse. 86 indexed citations
9.
Cai, Shu & Kevin Knight. (2013). Smatch: an Evaluation Metric for Semantic Feature Structures. Meeting of the Association for Computational Linguistics. 748–752. 165 indexed citations
10.
Knight, Kevin. (2013). Decipherment. Meeting of the Association for Computational Linguistics. 3–4. 1 indexed citations
11.
Knight, Kevin. (2010). English for Specific Purposes (ESP) Modules in the Self-Access Learning Center (SALC) for Success in the Global Workplace. SHILAP Revista de lepidopterología. 3 indexed citations
12.
Snyder, Benjamin, Regina Barzilay, & Kevin Knight. (2010). A Statistical Model for Lost Language Decipherment. DSpace@MIT (Massachusetts Institute of Technology). 1048–1057. 31 indexed citations
13.
DeNeefe, Steve, Ulf Hermjakob, & Kevin Knight. (2008). Overcoming Vocabulary Sparsity in MT Using Lattices. Conference of the Association for Machine Translation in the Americas. 89–96. 7 indexed citations
14.
Narayanan, S. R., Sankaranarayanan Ananthakrishnan, Panayiotis Georgiou, et al.. (2004). The Transonics Spoken Dialogue Translator: An aid for English-Persian Doctor-Patient interviews. National Conference on Artificial Intelligence. 97–103. 12 indexed citations
15.
Koehn, Philipp & Kevin Knight. (2001). Proceedings of the 2001 Conference on Empirical Methods in Natural Language Processing. Empirical Methods in Natural Language Processing. 32 indexed citations
16.
Knight, Kevin & Daniel Marcu. (2000). Statistics-Based Summarization - Step One: Sentence Compression. National Conference on Artificial Intelligence. 703–710. 269 indexed citations
17.
Koehn, Philipp & Kevin Knight. (2000). Estimating Word Translation Probabilities from Unrelated Monolingual Corpora Using the EM Algorithm. National Conference on Artificial Intelligence. 711–715. 53 indexed citations
18.
Langkilde, Irene & Kevin Knight. (1998). THE PRACTICAL VALUE OF N-GRAMS IS IN GENERATION. 75 indexed citations
19.
Broome, Kirk M., Kevin Knight, George W. Joe, D. Dwayne Simpson, & David Cross. (1997). Structural models of antisocial behavior and during‐treatment performance for probationers in a substance abuse treatment program. Structural Equation Modeling A Multidisciplinary Journal. 4(1). 37–51. 23 indexed citations
20.
Knight, Kevin. (1997). Automating Knowledge Acquisition for Machine Translation. AI Magazine. 18(4). 81–81. 33 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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