Pascal Poncelet
Impact in
- Hematology top 5%
- Internal Medicine top 5%
Papers in
-
- Data Mining Algorithms and Applications 51
- Recommender Systems and Techniques 10
-
- Advanced Text Analysis Techniques 15
- Co-authors
- Françoise Dignat‐George (7 shared papers)Stéphane Robert (6 shared papers)Romaric Lacroix (6 shared papers)José Sampol (5 shared papers)Maguelonne Teisseire (38 shared papers)P Carayon (2 shared papers)Florent Masséglia (13 shared papers)Nigel S. Key (2 shared papers)
- Journals
- 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)Blood (2 papers)
- Partner nations
- FranceUnited StatesItaly
In The Last Decade
Pascal Poncelet
167 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 172
- Hematology 291
- Internal Medicine 82
- Immunology 507
- Signal Processing 212
- Information Systems 419
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 178 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 318 | |
| 2 | 2010 | 286 | |
| 3 | 2008 | 239 | |
| 4 | 1985 | 173 | |
| 5 | 1992 | 105 | |
| 6 | 2016 | 98 | |
| 7 | 1982 | 87 | |
| 8 | 2015 | 59 | |
| 9 | 1989 | 59 | |
| 10 | 1991 | 58 | |
| 11 | 2016 | 56 | |
| 12 | 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 | 52 |
| 13 | 2008 | 50 | |
| 14 | Détection de communautés locales dans des réseaux multicouches | 2016 | 49 |
| 15 | Determination of sensitivity of fresh leukemia cells to immunotoxins. | 1986 | 49 |
| 16 | 2010 | 48 | |
| 17 | 1999 | 46 | |
| 18 | An efficient algorithm for Web usage mining | 1999 | 45 |
| 19 | 2008 | 44 | |
| 20 | 2017 | 43 |
About Pascal Poncelet
Pascal Poncelet is a scholar working on Information Systems, Artificial Intelligence, Signal Processing, Computer Networks and Communications and Molecular Biology, having authored 178 papers that have together received 3.0k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (51 papers), Data Management and Algorithms (36 papers), Advanced Database Systems and Queries (24 papers), Rough Sets and Fuzzy Logic (16 papers), Advanced Text Analysis Techniques (15 papers), Data Visualization and Analytics (10 papers), Recommender Systems and Techniques (10 papers) and Monoclonal and Polyclonal Antibodies Research (9 papers). The work is most often cited by research in Hematology (291 citations), Internal Medicine (82 citations), Immunology (507 citations), Signal Processing (212 citations) and Information Systems (419 citations). Pascal Poncelet has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Françoise Dignat‐George, Stéphane Robert, Romaric Lacroix, José Sampol, Maguelonne Teisseire, P Carayon, Florent Masséglia, Nigel S. Key, Coralie Judicone and Raj S. Kasthuri. Their work appears in journals such as Journal of Thrombosis and Haemostasis, Journal of Hypertension, Data Mining and Knowledge Discovery, Journal of Intelligent Information Systems and Blood.
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.