Pierre Senellart
- Artificial Intelligence top 2%
- Information Systems top 2%
- Computer Networks and Communications top 5%
- Management Science and Operations Research top 2%
- Signal Processing top 5%
- Co-authors
- Serge AbiteboulFabian M. SuchanekVincent D. BlondelPaul Van DoorenAnahí GajardoAmélie MarianAlban GallandGeorg Gottlob
- Topics
- Advanced Database Systems and Queries (25 papers)Data Management and Algorithms (15 papers)Web Data Mining and Analysis (14 papers)
- Cited by
- Computer Science ApplicationsManagement Science and Operations ResearchArtificial Intelligence
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Pierre Senellart
44 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 85
- Artificial Intelligence 745
- Information Systems 394
- Computer Networks and Communications 373
- Management Science and Operations Research 301
- Signal Processing 235
Countries citing papers authored by Pierre Senellart
This map shows the geographic impact of Pierre Senellart'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 Pierre Senellart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pierre Senellart more than expected).
Fields of papers citing papers by Pierre Senellart
This network shows the impact of papers produced by Pierre Senellart. 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 Pierre Senellart. The network helps show where Pierre Senellart may publish in the future.
Co-authorship network of co-authors of Pierre Senellart
This figure shows the co-authorship network connecting the top 25 collaborators of Pierre Senellart. A scholar is included among the top collaborators of Pierre Senellart 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 Pierre Senellart. Pierre Senellart is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 14 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 16 | |
| 6 | 24 | |
| 7 | 15 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 0 | |
| 11 | 6 | |
| 12 | 4 | |
| 13 | Deriving Dynamics of Web Pages: A Survey * | 7 |
| 14 | 207 | |
| 15 | Archivage du contenu éphémère du Web à l’aide des flux Web * | 1 |
| 16 | 12 | |
| 17 | 4 | |
| 18 | 25 | |
| 19 | 7 | |
| 20 | Finding related pages using Green measures: an illustration with Wikipedia | 25 |
About Pierre Senellart
Pierre Senellart is a scholar working on Signal Processing, Computer Networks and Communications and Artificial Intelligence, having authored 48 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (25 papers), Data Management and Algorithms (15 papers) and Web Data Mining and Analysis (14 papers). The work is most often cited by research in Computer Science Applications (180 citations), Management Science and Operations Research (301 citations) and Artificial Intelligence (745 citations). Pierre Senellart has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Serge Abiteboul, Fabian M. Suchanek, Vincent D. Blondel, Paul Van Dooren, Anahí Gajardo, Amélie Marian, Alban Galland, Georg Gottlob, Yael Amsterdamer and Yael S. Grossman. Their work appears in journals such as Journal of the ACM, SIAM Review and Proceedings of the VLDB Endowment.
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.