Jeffrey Coombs
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
- Sentiment Analysis and Opinion Mining
- Information Systems top 10%
- Web Data Mining and Analysis
- Spam and Phishing Detection
- Information Retrieval and Search Behavior
Papers in
-
- Topic Modeling 3
- Natural Language Processing Techniques 2
- Semantic Web and Ontologies 2
- Advanced Text Analysis Techniques 1
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- Web Data Mining and Analysis 3
- Information Retrieval and Search Behavior 2
- Co-authors
- Kazem Taghva (7 shared papers)Thomas A. Nartker (4 shared papers)Julie Borsack (3 shared papers)Allen Condit (2 shared papers)Wolfgang Bein (1 shared paper)
- Journals
- American Catholic Philosophical Quarterly (1 paper)The Philosophical Quarterly (1 paper)Vivarium (1 paper)Digital Scholarship - UNLV (University of Nevada Reno) (1 paper)Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (2 papers)
- Partner nations
- United States
In The Last Decade
Jeffrey Coombs
10 papers receiving 257 citations
Peers
Comparison fields: 5 of 40
- Artificial Intelligence 250
- Information Systems 103
- Signal Processing 14
- Management Science and Operations Research 13
- Computer Vision and Pattern Recognition 20
Countries citing papers authored by Jeffrey Coombs
This map shows the geographic impact of Jeffrey Coombs'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 Jeffrey Coombs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey Coombs more than expected).
Fields of papers citing papers by Jeffrey Coombs
This network shows the impact of papers produced by Jeffrey Coombs. 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 Jeffrey Coombs. The network helps show where Jeffrey Coombs may publish in the future.
Co-authors
The 5 scholars most cited alongside Jeffrey Coombs, 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 | 2005 | 186 | |
| 2 | 2005 | 54 | |
| 3 | 2004 | 19 | |
| 4 | 2004 | 16 | |
| 5 | 1996 | 5 | |
| 6 | 2004 | 4 | |
| 7 | 1995 | 3 | |
| 8 | Ontology-based Classification of Email | 2003 | 3 |
| 9 | 1994 | 2 | |
| 10 | 1993 | 2 | |
| 11 | 2003 | 1 |
About Jeffrey Coombs
Jeffrey Coombs is a scholar working on Artificial Intelligence, Information Systems, History and Philosophy of Science, Signal Processing and History, having authored 11 papers that have together received 295 indexed citations. Recurring topics across this work include Topic Modeling (3 papers), Web Data Mining and Analysis (3 papers), Natural Language Processing Techniques (2 papers), Semantic Web and Ontologies (2 papers), Reformation and Early Modern Christianity (2 papers), Historical Philosophy and Science (2 papers), Information Retrieval and Search Behavior (2 papers) and Advanced Text Analysis Techniques (1 paper). The work is most often cited by research in Artificial Intelligence (250 citations), Information Systems (103 citations), Signal Processing (14 citations), Management Science and Operations Research (13 citations) and Computer Vision and Pattern Recognition (20 citations). Jeffrey Coombs has collaborated with scholars based in United States. Frequent co-authors include Kazem Taghva, Thomas A. Nartker, Julie Borsack, Allen Condit and Wolfgang Bein. Their work appears in journals such as American Catholic Philosophical Quarterly, The Philosophical Quarterly, Vivarium, Digital Scholarship - UNLV (University of Nevada Reno) and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.
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.