Patrick Pantel
Impact in
- Artificial Intelligence top 0.1%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Semantic Web and Ontologies
- Text and Document Classification Technologies
- Sentiment Analysis and Opinion Mining
- Advanced Graph Neural Networks
- Information Systems top 0.5%
- Web Data Mining and Analysis
Papers in
-
- Topic Modeling 43
- Natural Language Processing Techniques 34
- Semantic Web and Ontologies 25
- Advanced Text Analysis Techniques 8
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- Web Data Mining and Analysis 17
- Information Retrieval and Search Behavior 14
- Co-authors
- Dekang Lin (15 shared papers)Peter D. Turney (1 shared paper)Marco Pennacchiotti (8 shared papers)Deepak Ravichandran (4 shared papers)Timothy Chklovski (4 shared papers)Michael Gamon (16 shared papers)Eduard Hovy (10 shared papers)Soo-Min Kim (2 shared papers)
- Journals
- Natural Language Engineering (1 paper)Computer (1 paper)Journal of Artificial Intelligence Research (1 paper)Lecture notes in computer science (3 papers)International Conference on Computational Linguistics (4 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Patrick Pantel
75 papers receiving 6.6k citations
Patrick Pantel's Hit Papers
Peers
Comparison fields: 5 of 118
- Artificial Intelligence 6.4k
- Information Systems 1.6k
- Management Science and Operations Research 477
- Computational Mathematics 16
- Statistical and Nonlinear Physics 326
Countries citing papers authored by Patrick Pantel
This map shows the geographic impact of Patrick Pantel'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 Patrick Pantel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Pantel more than expected).
Fields of papers citing papers by Patrick Pantel
This network shows the impact of papers produced by Patrick Pantel. 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 Patrick Pantel. The network helps show where Patrick Pantel may publish in the future.
Co-authors
The 25 scholars most cited alongside Patrick Pantel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | From Frequency to Meaning: Vector Space Models of Semantics Hit paper breakdown → | 2010 | 1907 |
| 2 | Representing Text for Joint Embedding of Text and Knowledge Bases Hit paper breakdown → | 2015 | 470 |
| 3 | 2002 | 434 | |
| 4 | 2001 | 423 | |
| 5 | Espresso Hit paper breakdown → | 2006 | 418 |
| 6 | Automatically assessing review helpfulness Hit paper breakdown → | 2006 | 414 |
| 7 | 2001 | 410 | |
| 8 | VerbOcean: Mining the Web for Fine-Grained Semantic Verb Relations | 2004 | 309 |
| 9 | 2009 | 196 | |
| 10 | Automatically Labeling Semantic Classes | 2004 | 184 |
| 11 | 2005 | 167 | |
| 12 | 2002 | 136 | |
| 13 | 2002 | 125 | |
| 14 | 2014 | 108 | |
| 15 | 2004 | 100 | |
| 16 | Proceedings of the 3rd international workshop on Link discovery | 2005 | 98 |
| 17 | 2002 | 88 | |
| 18 | 2001 | 77 | |
| 19 | ISP: Learning Inferential Selectional Preferences | 2007 | 73 |
| 20 | 2001 | 72 |
About Patrick Pantel
Patrick Pantel is a scholar working on Artificial Intelligence, Information Systems, Management Science and Operations Research, Signal Processing and Computer Networks and Communications, having authored 76 papers that have together received 7.4k indexed citations. Recurring topics across this work include Topic Modeling (43 papers), Natural Language Processing Techniques (34 papers), Semantic Web and Ontologies (25 papers), Web Data Mining and Analysis (17 papers), Information Retrieval and Search Behavior (14 papers), Data Quality and Management (12 papers), Data Management and Algorithms (8 papers) and Advanced Text Analysis Techniques (8 papers). The work is most often cited by research in Artificial Intelligence (6.4k citations), Information Systems (1.6k citations), Management Science and Operations Research (477 citations), Computational Mathematics (16 citations) and Statistical and Nonlinear Physics (326 citations). Patrick Pantel has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Dekang Lin, Peter D. Turney, Marco Pennacchiotti, Deepak Ravichandran, Timothy Chklovski, Michael Gamon, Eduard Hovy, Soo-Min Kim, Eric Crestan and Kristina Toutanova. Their work appears in journals such as Natural Language Engineering, Computer, Journal of Artificial Intelligence Research, Lecture notes in computer science and International Conference on Computational Linguistics.
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.