Pascal Poncelet
Impact in
- Signal Processing top 2%
- Data Management and Algorithms
- Information Systems top 1%
- Data Mining Algorithms and Applications
Papers in
-
- Data Mining Algorithms and Applications 80
-
- Advanced Text Analysis Techniques 27
- Topic Modeling 17
- Sentiment Analysis and Opinion Mining 16
- Co-authors
- Florent Masséglia (24 shared papers)Maguelonne Teisseire (58 shared papers)Françoise Dignat‐George (7 shared papers)Stéphane Robert (6 shared papers)Romaric Lacroix (6 shared papers)José Sampol (5 shared papers)P Carayon (2 shared papers)Sandra Bringay (25 shared papers)
- Journals
- Lecture notes in computer science (49 papers)Journal of Thrombosis and Haemostasis (5 papers)Journal of Hypertension (5 papers)Data Mining and Knowledge Discovery (3 papers)Journal of Intelligent Information Systems (3 papers)
- Partner nations
- FranceUnited StatesItaly
In The Last Decade
Pascal Poncelet
239 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 175
- Signal Processing 451
- Information Systems 903
- Hematology 307
- Immunology 563
- Internal Medicine 82
Countries citing papers authored by Pascal Poncelet
This map shows the geographic impact of Pascal Poncelet'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 Pascal Poncelet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pascal Poncelet more than expected).
Fields of papers citing papers by Pascal Poncelet
This network shows the impact of papers produced by Pascal Poncelet. 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 Pascal Poncelet. The network helps show where Pascal Poncelet may publish in the future.
Co-authors
The 25 scholars most cited alongside Pascal Poncelet, 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 251 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 321 | |
| 2 | 2010 | 298 | |
| 3 | 2008 | 244 | |
| 4 | 1998 | 179 | |
| 5 | 1985 | 177 | |
| 6 | 1992 | 108 | |
| 7 | 1982 | 101 | |
| 8 | 2016 | 100 | |
| 9 | 2008 | 69 | |
| 10 | 1989 | 62 | |
| 11 | 2015 | 60 | |
| 12 | 1991 | 59 | |
| 13 | 2016 | 59 | |
| 14 | An efficient algorithm for Web usage mining | 1999 | 57 |
| 15 | 2010 | 56 | |
| 16 | 2014 | 56 | |
| 17 | 1999 | 53 | |
| 18 | Quantification of CD24 and CD45 antigens in parallel allows a precise determination of B-cell maturation stages: relevance for the study of B-cell neoplasias. | 1994 | 53 |
| 19 | Détection de communautés locales dans des réseaux multicouches | 2016 | 52 |
| 20 | 1980 | 49 |
About Pascal Poncelet
Pascal Poncelet is a scholar working on Information Systems, Artificial Intelligence, Signal Processing, Computer Networks and Communications and Computational Theory and Mathematics, having authored 251 papers that have together received 3.9k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (80 papers), Data Management and Algorithms (57 papers), Advanced Database Systems and Queries (41 papers), Rough Sets and Fuzzy Logic (28 papers), Advanced Text Analysis Techniques (27 papers), Topic Modeling (17 papers), Sentiment Analysis and Opinion Mining (16 papers) and Complex Network Analysis Techniques (14 papers). The work is most often cited by research in Signal Processing (451 citations), Information Systems (903 citations), Hematology (307 citations), Immunology (563 citations) and Internal Medicine (82 citations). Pascal Poncelet has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Florent Masséglia, Maguelonne Teisseire, Françoise Dignat‐George, Stéphane Robert, Romaric Lacroix, José Sampol, P Carayon, Sandra Bringay, Mathieu Roche and Nigel S. Key. Their work appears in journals such as Lecture notes in computer science, Journal of Thrombosis and Haemostasis, Journal of Hypertension, Data Mining and Knowledge Discovery and Journal of Intelligent Information Systems.
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.