Eric Crestan
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
- Semantic Web and Ontologies
- Sentiment Analysis and Opinion Mining
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- Data Quality and Management
Papers in
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- Natural Language Processing Techniques 4
- Topic Modeling 4
- Text and Document Classification Technologies 4
- Algorithms and Data Compression 3
- Semantic Web and Ontologies 2
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- Web Data Mining and Analysis 7
- Information Retrieval and Search Behavior 3
- Co-authors
- Patrick Pantel (5 shared papers)Ana-Maria Popescu (1 shared paper)Marc El-Bèze (3 shared papers)Julia Kiseleva (1 shared paper)Patrice Bellot (1 shared paper)Annie Louis (1 shared paper)Youssef Billawala (1 shared paper)Fernando Díaz (1 shared paper)
- Journals
- Text REtrieval Conference (1 paper)International Conference on Computational Linguistics (1 paper)TU/e Research Portal (1 paper)
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
Eric Crestan
12 papers receiving 319 citations
Peers
Comparison fields: 5 of 29
- Artificial Intelligence 292
- Management Science and Operations Research 88
- Information Systems 131
- Signal Processing 31
- Computer Vision and Pattern Recognition 29
Countries citing papers authored by Eric Crestan
This map shows the geographic impact of Eric Crestan'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 Eric Crestan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Crestan more than expected).
Fields of papers citing papers by Eric Crestan
This network shows the impact of papers produced by Eric Crestan. 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 Eric Crestan. The network helps show where Eric Crestan may publish in the future.
Co-authors
The 9 scholars most cited alongside Eric Crestan, 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 | 2009 | 196 | |
| 2 | 2011 | 59 | |
| 3 | 2009 | 26 | |
| 4 | 2010 | 14 | |
| 5 | Coupling Named Entity Recognition, Vector-Space Model and Knowledge Bases for TREC 11 Question Answering Track. | 2002 | 12 |
| 6 | 2010 | 12 | |
| 7 | 2014 | 10 | |
| 8 | Improving WSD with Multi-Level View of Context Monitored by Similarity Measure | 2001 | 8 |
| 9 | 2004 | 4 | |
| 10 | Browsing Help for a Faster Retrieval | 2004 | 2 |
| 11 | Peut-on trouver la taille de contexte optimale en désambiguïsation sémantique? | 2003 | 2 |
| 12 | Use of Query Similarity for Improving Presentation of News Verticals | 2011 | 2 |
About Eric Crestan
Eric Crestan is a scholar working on Artificial Intelligence, Information Systems, Signal Processing, Management Science and Operations Research and Infectious Diseases, having authored 12 papers that have together received 347 indexed citations. Recurring topics across this work include Web Data Mining and Analysis (7 papers), Natural Language Processing Techniques (4 papers), Topic Modeling (4 papers), Text and Document Classification Technologies (4 papers), Algorithms and Data Compression (3 papers), Information Retrieval and Search Behavior (3 papers), Semantic Web and Ontologies (2 papers) and Data Management and Algorithms (2 papers). The work is most often cited by research in Artificial Intelligence (292 citations), Management Science and Operations Research (88 citations), Information Systems (131 citations), Signal Processing (31 citations) and Computer Vision and Pattern Recognition (29 citations). Eric Crestan has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Patrick Pantel, Ana-Maria Popescu, Marc El-Bèze, Julia Kiseleva, Patrice Bellot, Annie Louis, Youssef Billawala, Fernando Díaz and Rao Shen. Their work appears in journals such as Text REtrieval Conference, International Conference on Computational Linguistics and TU/e Research Portal.
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.