Pascal Poncelet
- Hematology top 2%
- Internal Medicine top 5%
- Immunology top 5%
- Signal Processing top 5%
- Data Management and Algorithms 36
- Immunology and Allergy top 5%
-
- Data Mining Algorithms and Applications 51
- Recommender Systems and Techniques 10
-
- Advanced Database Systems and Queries 24
-
- Rough Sets and Fuzzy Logic 16
-
- Advanced Text Analysis Techniques 15
-
- Blood Pressure and Hypertension Studies 14
-
- Data Visualization and Analytics 10
- Co-authors
- Françoise Dignat‐GeorgeStéphane RobertRomaric LacroixJosé SampolMaguelonne TeisseireP CarayonFlorent MasségliaNigel S. Key
- Journals
- Journal of Thrombosis and Haemostasis (5 papers)Journal of Hypertension (5 papers)Journal of Intelligent Information Systems (3 papers)
- Partner nations
- FranceUnited StatesItaly
In The Last Decade
Pascal Poncelet
168 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 175
- Hematology 400
- Internal Medicine 115
- Immunology 579
- Signal Processing 211
- Immunology and Allergy 114
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2021 | 8 | |
| 5 | 2019 | 4 | |
| 6 | 2018 | 24 | |
| 7 | Détection de communautés locales dans des réseaux multicouches | 2016 | 49 |
| 8 | 2015 | 13 | |
| 9 | How and why exploit tweet's location information? | 2012 | 12 |
| 10 | Discovery of Unexpected Recurrence Behaviors in Sequence Databases | 2010 | 1 |
| 11 | Opinion Mining From Blogs | 2009 | 9 |
| 12 | 2008 | 2 | |
| 13 | Web Analyzing Traffic Challenge: Description and Results | 2007 | 24 |
| 14 | Random Sampling over Data Streams for Sequential Pattern Mining | 2007 | 2 |
| 15 | [Use of home blood pressure devices in France in 2004]. | 2005 | 3 |
| 16 | Microbilles et cytométrie : comment et pourquoi introduire la « ‐métrie » dans l‘immuno‐cytométrie ? | 2004 | 5 |
| 17 | Web Usage Mining: Extraction, Maintenance and Behaviour Trends | 2003 | 0 |
| 18 | An efficient algorithm for Web usage mining | 1999 | 45 |
| 19 | Towards Event-Driven Modelling for Database Design | 1994 | 7 |
| 20 | [Reliability of the measurement of arterial pressure in the forearm in the obese subject]. | 1987 | 6 |
About Pascal Poncelet
Pascal Poncelet is a scholar working on Signal Processing, Information Systems and Artificial Intelligence, having authored 180 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), Blood Pressure and Hypertension Studies (14 papers), Data Visualization and Analytics (10 papers) and Recommender Systems and Techniques (10 papers). The work is most often cited by research in Hematology (400 citations), Internal Medicine (115 citations) and Immunology (579 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, Journal of Intelligent Information Systems, Data Mining and Knowledge Discovery and IEEE Transactions on Visualization and Computer Graphics.
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.