Keith Stevens
Impact in
- General Social Sciences top 0.5%
- Computational and Text Analysis Methods
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Sentiment Analysis and Opinion Mining
- Text and Document Classification Technologies
Papers in
- Classics 1
- Co-authors
- David ButtlerDavid AndrzejewskiPhilip KegelmeyerDavid JurgensYinfei YangRay KurzweilYun-Hsuan SungMandy Guo
- Journals
- Journal of the American Geriatrics Society (1 paper)The Journal of Marketing Theory and Practice (1 paper)SAE technical papers on CD-ROM/SAE technical paper series (1 paper)CHEST Journal (1 paper)The Library (1 paper)
- Partner nations
- United StatesPolandNew Zealand
In The Last Decade
Keith Stevens
13 papers receiving 435 citations
Hit Papers
Peers
Comparison fields: 5 of 97
- General Social Sciences 64
- Artificial Intelligence 329
- Computational Mathematics 3
- Information Systems 78
- Statistical and Nonlinear Physics 37
Countries citing papers authored by Keith Stevens
This map shows the geographic impact of Keith Stevens'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 Keith Stevens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keith Stevens more than expected).
Fields of papers citing papers by Keith Stevens
This network shows the impact of papers produced by Keith Stevens. 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 Keith Stevens. The network helps show where Keith Stevens may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Keith Stevens, 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 | 2019 | 12 | |
| 2 | 2018 | 54 | |
| 3 | Exploring Topic Coherence over Many Models and Many Topics Hit paper breakdown → | 2012 | 289 |
| 4 | Evaluating Unsupervised Ensembles when applied to Word Sense Induction | 2012 | 1 |
| 5 | Measuring the Impact of Sense Similarity on Word Sense Induction | 2011 | 5 |
| 6 | 2010 | 8 | |
| 7 | The S-Space Package: An Open Source Package for Word Space Models | 2010 | 71 |
| 8 | 2009 | 19 | |
| 9 | 2006 | 1 | |
| 10 | Dieux de Chine : le panthéon populaire du Fujian de J.J.M. de Groot | 2003 | 1 |
| 11 | 2000 | 1 | |
| 12 | 1997 | 17 | |
| 13 | 1996 | 3 |
About Keith Stevens
Keith Stevens is a scholar working on Conservation, Classics, Artificial Intelligence, History and Information Systems and Management, having authored 13 papers that have together received 482 indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Natural Language Processing Techniques (7 papers), Advanced Text Analysis Techniques (3 papers), Speech and dialogue systems (2 papers), Reformation and Early Modern Christianity (1 paper), Technology Adoption and User Behaviour (1 paper), Digital Marketing and Social Media (1 paper) and Biomedical Text Mining and Ontologies (1 paper). The work is most often cited by research in General Social Sciences (64 citations), Artificial Intelligence (329 citations), Computational Mathematics (3 citations), Information Systems (78 citations) and Statistical and Nonlinear Physics (37 citations). Keith Stevens has collaborated with scholars based in United States, Poland and New Zealand. Frequent co-authors include David Buttler, David Andrzejewski, Philip Kegelmeyer, David Jurgens, Yinfei Yang, Ray Kurzweil, Yun-Hsuan Sung, Mandy Guo, Daniel Cer and Brian Strope. Their work appears in journals such as Journal of the American Geriatrics Society, The Journal of Marketing Theory and Practice, SAE technical papers on CD-ROM/SAE technical paper series, CHEST Journal and The Library.
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.