Pascal Poncelet B
Impact in
- Information Systems top 0.5%
- Data Mining Algorithms and Applications
- Web Data Mining and Analysis
- Recommender Systems and Techniques
- Artificial Intelligence top 5%
- Sentiment Analysis and Opinion Mining
Papers in
-
- Data Mining Algorithms and Applications 78
- Information Retrieval and Search Behavior 8
-
- Sentiment Analysis and Opinion Mining 18
- Advanced Text Analysis Techniques 6
- Co-authors
- Florent Masséglia (26 shared papers)Maguelonne Teisseire (69 shared papers)Sandra Bringay (33 shared papers)Dino Ienco (29 shared papers)Mathieu Roche A (41 shared papers)Anne Laurent (34 shared papers)Arnaud Sallaberry (26 shared papers)Chedy Raïssi (13 shared papers)
In The Last Decade
Pascal Poncelet B
190 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 108
- Information Systems 823
- Artificial Intelligence 427
- Computer Networks and Communications 243
- Statistical and Nonlinear Physics 90
- Signal Processing 65
Countries citing papers authored by Pascal Poncelet B
This map shows the geographic impact of Pascal Poncelet B'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 B 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 B more than expected).
Fields of papers citing papers by Pascal Poncelet B
This network shows the impact of papers produced by Pascal Poncelet B. 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 B. The network helps show where Pascal Poncelet B may publish in the future.
Co-authors
The 25 scholars most cited alongside Pascal Poncelet B, 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 205 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 177 | |
| 2 | 2003 | 125 | |
| 3 | 2016 | 61 | |
| 4 | 2016 | 59 | |
| 5 | 2010 | 57 | |
| 6 | 2014 | 56 | |
| 7 | An efficient algorithm for Web usage mining | 1999 | 55 |
| 8 | 1999 | 52 | |
| 9 | 2008 | 44 | |
| 10 | 2018 | 44 | |
| 11 | 2017 | 43 | |
| 12 | 2018 | 39 | |
| 13 | 2018 | 29 | |
| 14 | 2018 | 29 | |
| 15 | 2011 | 28 | |
| 16 | Web Analyzing Traffic Challenge: Description and Results | 2007 | 27 |
| 17 | 2007 | 26 | |
| 18 | Towards a Formal Approach for Object Database Design | 1993 | 24 |
| 19 | 2004 | 22 | |
| 20 | 2007 | 22 |
About Pascal Poncelet B
Pascal Poncelet B is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition and Signal Processing, having authored 205 papers that have together received 2k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (78 papers), Data Visualization and Analytics (20 papers), Advanced Database Systems and Queries (19 papers), Sentiment Analysis and Opinion Mining (18 papers), Network Security and Intrusion Detection (10 papers), Information Retrieval and Search Behavior (8 papers), Data Management and Algorithms (8 papers) and Advanced Text Analysis Techniques (6 papers). The work is most often cited by research in Information Systems (823 citations), Artificial Intelligence (427 citations), Computer Networks and Communications (243 citations), Statistical and Nonlinear Physics (90 citations) and Signal Processing (65 citations). Pascal Poncelet B has collaborated with scholars based in France, Italy and Tunisia. Frequent co-authors include Florent Masséglia, Maguelonne Teisseire, Sandra Bringay, Dino Ienco, Mathieu Roche A, Anne Laurent, Arnaud Sallaberry, Chedy Raïssi, Rosine Cicchetti and Jérôme Azé. Their work appears in journals such as Lecture notes in computer science, Data Mining and Knowledge Discovery, Journal of Intelligent Information Systems, Expert Systems with Applications 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.