John Prager
- Artificial Intelligence top 0.5%
- Topic Modeling 37
- Natural Language Processing Techniques 30
- Semantic Web and Ontologies 7
- Speech and dialogue systems 6
- Information Systems top 1%
- Information Retrieval and Search Behavior 8
- Expert finding and Q&A systems 3
- Software Engineering Research 3
- Health Informatics top 5%
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- Biomedical Text Mining and Ontologies 4
- Co-authors
- Jennifer Chu‐CarrollEric W. BrownAdam LallyDavid FerrucciDragomir RadevJaimie MurdockAditya KalyanpurKrzysztof Czuba
- Journals
- IBM Journal of Research and Development (4 papers)AI Magazine (2 papers)IBM Systems Journal (2 papers)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
John Prager
47 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Artificial Intelligence 1.7k
- Information Systems 526
- Health Informatics 27
- Computer Vision and Pattern Recognition 303
- Computer Science Applications 58
Countries citing papers authored by John Prager
This map shows the geographic impact of John Prager'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 John Prager with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Prager more than expected).
Fields of papers citing papers by John Prager
This network shows the impact of papers produced by John Prager. 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 John Prager. The network helps show where John Prager may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John Prager, 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 | 2020 | 18 | |
| 2 | Answering Yes/No Questions via Question Inversion | 2012 | 15 |
| 3 | 2012 | 2 | |
| 4 | 2012 | 10 | |
| 5 | Open-Domain Question Answering: Foundations and Trends(R) in Information Retrieval | 2007 | 6 |
| 6 | 2007 | 94 | |
| 7 | 2007 | 8 | |
| 8 | A Multi-Strategy and Multi-Source Approach to Question Answering | 2006 | 23 |
| 9 | 2006 | 53 | |
| 10 | 2005 | 16 | |
| 11 | IBM's PIQUANT II in TREC 2004. | 2004 | 10 |
| 12 | 2004 | 8 | |
| 13 | IBM's PIQUANT in TREC2003 | 2003 | 21 |
| 14 | 2002 | 4 | |
| 15 | Use of WordNet hypernyms for answering what-is questions | 2001 | 34 |
| 16 | One Search Engine or Two for Question-Answering | 2000 | 13 |
| 17 | The Use of Predictive Annotation for Question Answering in TREC8. | 1999 | 59 |
| 18 | 1980 | 82 | |
| 19 | Segmentation of static and dynamic scenes. | 1979 | 14 |
| 20 | Segmentation processes in the visions system | 1977 | 5 |
About John Prager
John Prager is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Health Information Management and Management Science and Operations Research, having authored 48 papers that have together received 2.1k indexed citations. Recurring topics across this work include Topic Modeling (37 papers), Natural Language Processing Techniques (30 papers), Information Retrieval and Search Behavior (8 papers), Semantic Web and Ontologies (7 papers), Speech and dialogue systems (6 papers), Biomedical Text Mining and Ontologies (4 papers), Expert finding and Q&A systems (3 papers) and Software Engineering Research (3 papers). The work is most often cited by research in Artificial Intelligence (1.7k citations), Information Systems (526 citations), Health Informatics (27 citations), Computer Vision and Pattern Recognition (303 citations) and Computer Science Applications (58 citations). John Prager has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Jennifer Chu‐Carroll, Eric W. Brown, Adam Lally, David Ferrucci, Dragomir Radev, Jaimie Murdock, Aditya Kalyanpur, Krzysztof Czuba, David Gondek and James Fan. Their work appears in journals such as IBM Journal of Research and Development, AI Magazine, IBM Systems Journal, Journal of Management Information Systems and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.