Jay Ponte
Impact in
- Information Systems top 0.5%
- Information Retrieval and Search Behavior
- Web Data Mining and Analysis
- Artificial Intelligence top 1%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
Papers in
-
- Topic Modeling 7
- Natural Language Processing Techniques 5
- Semantic Web and Ontologies 4
- Advanced Text Analysis Techniques 2
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- Information Retrieval and Search Behavior 4
- Recommender Systems and Techniques 2
- Co-authors
- W. Bruce Croft (2 shared papers)Jakob Uszkoreit (1 shared paper)Ashok C. Popat (1 shared paper)Moshe Dubiner (1 shared paper)Andreas Zollmann (1 shared paper)Franz Josef Och (1 shared paper)Ashish Venugopal (1 shared paper)Robyn Kozierok (4 shared papers)
- Journals
- ACM SIGIR Forum (1 paper)ACM Transactions on Information Systems (1 paper)User Modeling and User-Adapted Interaction (1 paper)International Conference on Computational Linguistics (1 paper)National Conference on Artificial Intelligence (1 paper)
- Partner nations
- United States
In The Last Decade
Jay Ponte
16 papers receiving 1.6k citations
Jay Ponte's Hit Papers
Peers
Comparison fields: 5 of 62
- Information Systems 941
- Artificial Intelligence 1.2k
- Signal Processing 227
- Computer Vision and Pattern Recognition 264
- Management Science and Operations Research 119
Countries citing papers authored by Jay Ponte
This map shows the geographic impact of Jay Ponte'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 Jay Ponte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay Ponte more than expected).
Fields of papers citing papers by Jay Ponte
This network shows the impact of papers produced by Jay Ponte. 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 Jay Ponte. The network helps show where Jay Ponte may publish in the future.
Co-authors
The 24 scholars most cited alongside Jay Ponte, 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 | A language modeling approach to information retrieval Hit paper breakdown → | 1998 | 1097 |
| 2 | A Language Modeling Approach to Information Retrieval Hit paper breakdown → | 2017 | 274 |
| 3 | Large Scale Parallel Document Mining for Machine Translation | 2010 | 89 |
| 4 | 2008 | 70 | |
| 5 | USe: A Retargetable Word Segmentation Procedure for Information Retrieval | 1996 | 30 |
| 6 | 2000 | 21 | |
| 7 | 2003 | 17 | |
| 8 | 2002 | 10 | |
| 9 | 2003 | 10 | |
| 10 | Real users, real data, real problems: the MiTAP system for monitoring bio events | 2002 | 8 |
| 11 | 2011 | 7 | |
| 12 | 2002 | 5 | |
| 13 | 2002 | 3 | |
| 14 | 2001 | 2 | |
| 15 | 2003 | 2 | |
| 16 | 2002 | 1 |
About Jay Ponte
Jay Ponte is a scholar working on Artificial Intelligence, Information Systems, Molecular Biology, Signal Processing and Computer Vision and Pattern Recognition, having authored 16 papers that have together received 1.6k indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Natural Language Processing Techniques (5 papers), Semantic Web and Ontologies (4 papers), Information Retrieval and Search Behavior (4 papers), Biomedical Text Mining and Ontologies (3 papers), Advanced Text Analysis Techniques (2 papers), Data Management and Algorithms (2 papers) and Recommender Systems and Techniques (2 papers). The work is most often cited by research in Information Systems (941 citations), Artificial Intelligence (1.2k citations), Signal Processing (227 citations), Computer Vision and Pattern Recognition (264 citations) and Management Science and Operations Research (119 citations). Jay Ponte has collaborated with scholars based in United States. Frequent co-authors include W. Bruce Croft, Jakob Uszkoreit, Ashok C. Popat, Moshe Dubiner, Andreas Zollmann, Franz Josef Och, Ashish Venugopal, Robyn Kozierok, Lynette Hirschman and Mark T. Maybury. Their work appears in journals such as ACM SIGIR Forum, ACM Transactions on Information Systems, User Modeling and User-Adapted Interaction, International Conference on Computational Linguistics and National Conference on Artificial 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.