David K. Elson
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Artificial Intelligence in Games
- Sentiment Analysis and Opinion Mining
- Speech Recognition and Synthesis
- Authorship Attribution and Profiling
- General Social Sciences top 2%
Papers in
-
- Natural Language Processing Techniques 13
- Topic Modeling 11
- Semantic Web and Ontologies 3
- Speech and dialogue systems 3
- Artificial Intelligence in Games 2
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- Video Analysis and Summarization 4
- Co-authors
- Kathleen McKeown (10 shared papers)Nicholas Dames (1 shared paper)Ani Nenkova (2 shared papers)Julia Hirschberg (1 shared paper)Rebecca J. Passonneau (1 shared paper)Judith L. Klavans (2 shared papers)Petar Aleksic (1 shared paper)Cyril Allauzen (1 shared paper)
- Journals
- Language Resources and Evaluation (2 papers)Lecture notes in computer science (1 paper)Columbia Academic Commons (Columbia University) (5 papers)National Conference on Artificial Intelligence (1 paper)INFM-OAR (INFN Catania) (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
David K. Elson
19 papers receiving 507 citations
Peers
Comparison fields: 5 of 54
- Artificial Intelligence 481
- General Social Sciences 28
- Literature and Literary Theory 57
- Statistical and Nonlinear Physics 55
- Signal Processing 40
Countries citing papers authored by David K. Elson
This map shows the geographic impact of David K. Elson'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 David K. Elson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David K. Elson more than expected).
Fields of papers citing papers by David K. Elson
This network shows the impact of papers produced by David K. Elson. 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 David K. Elson. The network helps show where David K. Elson may publish in the future.
Co-authors
The 20 scholars most cited alongside David K. Elson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 186 | |
| 2 | 2010 | 73 | |
| 3 | 2005 | 61 | |
| 4 | 2012 | 35 | |
| 5 | 2015 | 34 | |
| 6 | 2010 | 34 | |
| 7 | 2003 | 23 | |
| 8 | A Platform for Symbolically Encoding Human Narratives. | 2007 | 22 |
| 9 | Proceedings of the NAACL-HLT 2012 Workshop on Computational Linguistics for Literature | 2012 | 21 |
| 10 | 2003 | 19 | |
| 11 | 2009 | 17 | |
| 12 | 2010 | 14 | |
| 13 | 2009 | 8 | |
| 14 | 2008 | 8 | |
| 15 | Tense and aspect assignment in narrative discourse | 2010 | 7 |
| 16 | 2007 | 6 | |
| 17 | 2014 | 5 | |
| 18 | 2004 | 1 | |
| 19 | 2015 | 1 |
About David K. Elson
David K. Elson is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Literature and Literary Theory, Information Systems and Control and Systems Engineering, having authored 19 papers that have together received 575 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (13 papers), Topic Modeling (11 papers), Video Analysis and Summarization (4 papers), Semantic Web and Ontologies (3 papers), Speech and dialogue systems (3 papers), Digital Humanities and Scholarship (3 papers), Artificial Intelligence in Games (2 papers) and Web Data Mining and Analysis (2 papers). The work is most often cited by research in Artificial Intelligence (481 citations), General Social Sciences (28 citations), Literature and Literary Theory (57 citations), Statistical and Nonlinear Physics (55 citations) and Signal Processing (40 citations). David K. Elson has collaborated with scholars based in United States and Canada. Frequent co-authors include Kathleen McKeown, Nicholas Dames, Ani Nenkova, Julia Hirschberg, Rebecca J. Passonneau, Judith L. Klavans, Petar Aleksic, Cyril Allauzen, Mark Riedl and Pedro J. Moreno. Their work appears in journals such as Language Resources and Evaluation, Lecture notes in computer science, Columbia Academic Commons (Columbia University), National Conference on Artificial Intelligence and INFM-OAR (INFN Catania).
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.