Jean-Cédric Chappelier
- Artificial Intelligence top 5%
- Statistical and Nonlinear Physics top 10%
- Molecular Biology
- Computer Vision and Pattern Recognition
- Cognitive Neuroscience
- Co-authors
- Martin RajmanPaolo De Los RiosDavid GfellerMatthias ZimmermannHorst BunkeRomaric BesançonSean HillMartin Telefont
- Topics
- Natural Language Processing Techniques (24 papers)Topic Modeling (14 papers)Semantic Web and Ontologies (8 papers)
- Cited by
- Artificial IntelligenceStatistical and Nonlinear PhysicsComputer Vision and Pattern Recognition
- Journals
- BioinformaticsIEEE Transactions on Pattern Analysis and Machine IntelligenceNeural Computation
- Partner nations
- SwitzerlandCzechiaUnited States
In The Last Decade
Jean-Cédric Chappelier
27 papers receiving 301 citations
Peers
Comparison fields: 5 of 60
- Artificial Intelligence 218
- Statistical and Nonlinear Physics 68
- Molecular Biology 64
- Computer Vision and Pattern Recognition 52
- Cognitive Neuroscience 26
Countries citing papers authored by Jean-Cédric Chappelier
This map shows the geographic impact of Jean-Cédric Chappelier'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 Jean-Cédric Chappelier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean-Cédric Chappelier more than expected).
Fields of papers citing papers by Jean-Cédric Chappelier
This network shows the impact of papers produced by Jean-Cédric Chappelier. 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 Jean-Cédric Chappelier. The network helps show where Jean-Cédric Chappelier may publish in the future.
Co-authorship network of co-authors of Jean-Cédric Chappelier
This figure shows the co-authorship network connecting the top 25 collaborators of Jean-Cédric Chappelier. A scholar is included among the top collaborators of Jean-Cédric Chappelier based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jean-Cédric Chappelier. Jean-Cédric Chappelier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 14 | |
| 3 | 4 | |
| 4 | Linguistic Resources and Topic Models for the Analysis of Persian Poems | 8 |
| 5 | 0 | |
| 6 | Inclusion de sens dans la représentation de documents textuels : état de l"art | 0 |
| 7 | 35 | |
| 8 | Synonym Dictionary Improvement through Markov Clustering and Clustering Stability | 11 |
| 9 | Robust Stochastic Parsing using Optimal Maximum Coverage | 3 |
| 10 | 85 | |
| 11 | Efficient Processing of Extra-grammatical Sentences: Comparing and Combining two approaches to Robust Stochastic Parsing | 1 |
| 12 | Robust Stochastic Parsing: Comparing Two Approaches for Processing Extra-Grammatical Sentences | 1 |
| 13 | 3 | |
| 14 | Integrating external dictionaries into stochastic part-of-speech taggers | 6 |
| 15 | Improving Text representations through Probabilistic Integration of Synonymy Relations | 1 |
| 16 | Polynominal tree-substitution grammars: an efficient framework for Data-Oriented Parsing | 3 |
| 17 | Le modele DSIR : une approche a base de semantique distributionnelle pour la recherche documentaire | 4 |
| 18 | Automated Information Extraction out of Classified Advertisements | 0 |
| 19 | The DSIR model: a Distributional Semantics approach to Information Retrieval | 1 |
| 20 | A generalized CYK algorithm for parsing stochastic CFG | 73 |
About Jean-Cédric Chappelier
Jean-Cédric Chappelier is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Language and Linguistics, having authored 42 papers that have together received 340 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (24 papers), Topic Modeling (14 papers) and Semantic Web and Ontologies (8 papers). The work is most often cited by research in Artificial Intelligence (218 citations), Statistical and Nonlinear Physics (68 citations) and Computer Vision and Pattern Recognition (52 citations). Jean-Cédric Chappelier has collaborated with scholars based in Switzerland, Czechia and United States. Frequent co-authors include Martin Rajman, Paolo De Los Rios, David Gfeller, Matthias Zimmermann, Horst Bunke, Romaric Besançon, Sean Hill, Martin Telefont, Eduardo García Sánchez and Ehsaneddin Asgari. Their work appears in journals such as Bioinformatics, IEEE Transactions on Pattern Analysis and Machine Intelligence and Neural Computation.
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.