Countries citing papers authored by Pascal Poncelet
Since
Specialization
Citations
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).
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 of co-authors of Pascal Poncelet
This figure shows the co-authorship network connecting the top 25 collaborators of Pascal Poncelet.
A scholar is included among the top collaborators of Pascal Poncelet 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 Pascal Poncelet. Pascal Poncelet is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Interdonato, Roberto, Andrea Tagarelli, Dino Ienco, Arnaud Sallaberry, & Pascal Poncelet. (2016). Local community detection in multilayer networks. Data Mining and Knowledge Discovery. 31(5). 1382–1383.4 indexed citations
7.
Interdonato, Roberto, Andrea Tagarelli, Dino Ienco, Arnaud Sallaberry, & Pascal Poncelet. (2016). Détection de communautés locales dans des réseaux multicouches. HAL (Le Centre pour la Communication Scientifique Directe).49 indexed citations
8.
Li, Haoyuan, Anne Laurent, & Pascal Poncelet. (2010). Discovery of Unexpected Recurrence Behaviors in Sequence Databases. HAL (Le Centre pour la Communication Scientifique Directe). 2. 279–288.1 indexed citations
Laurent, Anne, et al.. (2009). Mining for Relevant Terms From Log Files. HAL (Le Centre pour la Communication Scientifique Directe).1 indexed citations
11.
Dray, Gérard, et al.. (2009). Opinion Mining From Blogs. SPIRE - Sciences Po Institutional REpository. 1. 205–213.9 indexed citations
Li, Haoyuan, Anne Laurent, & Pascal Poncelet. (2008). Discovering Fuzzy Unexpected Sequences with Beliefs. SPIRE - Sciences Po Institutional REpository. 1709–1716.2 indexed citations
14.
Li, Haoyuan, Anne Laurent, & Pascal Poncelet. (2007). Mining Unexpected Sequential Patterns and Rules. SPIRE - Sciences Po Institutional REpository.6 indexed citations
15.
Raïssi, Chedy & Pascal Poncelet. (2007). Random Sampling over Data Streams for Sequential Pattern Mining. SPIRE - Sciences Po Institutional REpository. 36. 61–66.2 indexed citations
16.
Laurent, Anne, et al.. (2005). RSF - A New Tree Mining Approach with an Ecient Data Structure.. European Society for Fuzzy Logic and Technology Conference. 1088–1093.3 indexed citations
17.
Poncelet, Pascal. (2004). Microbilles et cytométrie : comment et pourquoi introduire la « ‐métrie » dans l‘immuno‐cytométrie ?. Annales de biologie clinique. 62(1). 53–57.5 indexed citations
18.
Masséglia, Florent, et al.. (1999). An efficient algorithm for Web usage mining. 2. 571–603.45 indexed citations
19.
Poncelet, Pascal, Maguelonne Teisseire, Rosine Cicchetti, & Lotfi Lakhal. (1993). Towards a Formal Approach for Object Database Design. Very Large Data Bases. 278–289.10 indexed citations
20.
Poncelet, Pascal, et al.. (1987). [Reliability of the measurement of arterial pressure in the forearm in the obese subject].. PubMed. 80(6). 1015–9.6 indexed citations
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.