Eric Crestan
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Semantic Web and Ontologies
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Information Systems top 5%
- Web Data Mining and Analysis
- Information Retrieval and Search Behavior
Papers in
-
- Information Retrieval and Search Behavior 6
- Web Data Mining and Analysis 3
-
- Topic Modeling 3
- Natural Language Processing Techniques 2
- Semantic Web and Ontologies 1
- Co-authors
- Patrick Pantel (5 shared papers)Ana-Maria Popescu (1 shared paper)Marc El-Bèze (2 shared papers)Patrice Bellot (1 shared paper)Julia Kiseleva (1 shared paper)Rao Shen (1 shared paper)Fernando Díaz (1 shared paper)Annie Priyadarshini Louis (1 shared paper)
- Journals
- TU/e Research Portal (1 paper)Conference on Empirical Methods in Natural Language Processing (EMNLP) (1 paper)International Conference on Computational Linguistics (2 papers)ACM International Conference on Web Search and Data Mining (WSDM) (1 paper)International World Wide Web Conference (WWW) (1 paper)
- Partner nations
- United StatesNetherlands
In The Last Decade
Eric Crestan
11 papers receiving 329 citations
Peers
Comparison fields: 5 of 22
- Artificial Intelligence 260
- Information Systems 135
- Computer Vision and Pattern Recognition 27
- Management Science and Operations Research 14
- Software 4
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 8 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 | 201 | |
| 2 | 2011 | 64 | |
| 3 | 2009 | 26 | |
| 4 | Coupling Named Entity Recognition, Vector-Space Model and Knowledge Bases for TREC 11 Question Answering Track. | 2002 | 15 |
| 5 | 2010 | 15 | |
| 6 | 2010 | 13 | |
| 7 | 2014 | 10 | |
| 8 | 2004 | 4 | |
| 9 | Peut-on trouver la taille de contexte optimale en désambiguïsation sémantique? | 2003 | 2 |
| 10 | Browsing Help for a Faster Retrieval | 2004 | 2 |
| 11 | Use of Query Similarity for Improving Presentation of News Verticals | 2011 | 2 |
About Eric Crestan
Eric Crestan is a scholar working on Information Systems, Artificial Intelligence, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 11 papers that have together received 354 indexed citations. Recurring topics across this work include Information Retrieval and Search Behavior (6 papers), Topic Modeling (3 papers), Web Data Mining and Analysis (3 papers), Natural Language Processing Techniques (2 papers) and Semantic Web and Ontologies (1 paper). The work is most often cited by research in Artificial Intelligence (260 citations), Information Systems (135 citations), Computer Vision and Pattern Recognition (27 citations), Management Science and Operations Research (14 citations) and Software (4 citations). Eric Crestan has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Patrick Pantel, Ana-Maria Popescu, Marc El-Bèze, Patrice Bellot, Julia Kiseleva, Rao Shen, Fernando Díaz and Annie Priyadarshini Louis. Their work appears in journals such as TU/e Research Portal, Conference on Empirical Methods in Natural Language Processing (EMNLP), International Conference on Computational Linguistics, ACM International Conference on Web Search and Data Mining (WSDM) and International World Wide Web Conference (WWW).
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.