Grégory Cobéna
Impact in
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- Advanced Database Systems and Queries
- Caching and Content Delivery
- Peer-to-Peer Network Technologies
- Signal Processing top 5%
- Data Management and Algorithms
Papers in
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- Advanced Database Systems and Queries 10
- Distributed systems and fault tolerance 2
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- Data Management and Algorithms 8
- Co-authors
- Serge Abiteboul (11 shared papers)Amélie Marian (2 shared papers)Mihaí Preda (5 shared papers)Benjamin Nguyen (4 shared papers)Ioana Manolescu (2 shared papers)Tova Milo (2 shared papers)Angela Bonifati (2 shared papers)Talel Abdessalem (1 shared paper)
- Journals
- ACM SIGMOD Record (1 paper)IEEE Data(base) Engineering Bulletin (1 paper)
- Partner nations
- FranceIsraelUnited States
In The Last Decade
Grégory Cobéna
11 papers receiving 503 citations
Peers
Comparison fields: 5 of 38
- Computer Networks and Communications 411
- Signal Processing 164
- Information Systems 324
- Artificial Intelligence 277
- Software 20
Countries citing papers authored by Grégory Cobéna
This map shows the geographic impact of Grégory Cobéna'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 Grégory Cobéna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Grégory Cobéna more than expected).
Fields of papers citing papers by Grégory Cobéna
This network shows the impact of papers produced by Grégory Cobéna. 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 Grégory Cobéna. The network helps show where Grégory Cobéna may publish in the future.
Co-authors
The 10 scholars most cited alongside Grégory Cobéna, 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 | 2003 | 234 | |
| 2 | 2003 | 125 | |
| 3 | 2003 | 89 | |
| 4 | 2001 | 74 | |
| 5 | A comparative study for XML change detection. | 2002 | 16 |
| 6 | 2003 | 16 | |
| 7 | 2001 | 6 | |
| 8 | Detecting Changes in XML documents. | 2001 | 4 |
| 9 | Query Subscription in an XML Webhouse. | 2000 | 3 |
| 10 | Computing Web Page Importance without Storing the Graph of the Web (extended abstract). | 2002 | 2 |
| 11 | 2003 | 2 | |
| 12 | Construction and Maintenance of a Set Of Pages Of Interest (SPIN) using Active XML. | 2002 | 0 |
About Grégory Cobéna
Grégory Cobéna is a scholar working on Computer Networks and Communications, Signal Processing, Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 12 papers that have together received 571 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (10 papers), Data Management and Algorithms (8 papers), Web Data Mining and Analysis (5 papers), Algorithms and Data Compression (3 papers), Semantic Web and Ontologies (2 papers), Distributed systems and fault tolerance (2 papers), Graph Theory and Algorithms (1 paper) and Complex Network Analysis Techniques (1 paper). The work is most often cited by research in Computer Networks and Communications (411 citations), Signal Processing (164 citations), Information Systems (324 citations), Artificial Intelligence (277 citations) and Software (20 citations). Grégory Cobéna has collaborated with scholars based in France, Israel and United States. Frequent co-authors include Serge Abiteboul, Amélie Marian, Mihaí Preda, Benjamin Nguyen, Ioana Manolescu, Tova Milo, Angela Bonifati, Talel Abdessalem, Laurent Mignet and Antonella Poggi. Their work appears in journals such as ACM SIGMOD Record and IEEE Data(base) Engineering Bulletin.
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.