Grégory Cobéna

1.2k citations
12 papers · 571 indexed · h-index 7
Topics
Advanced Database Systems and Queries (10 papers)Data Management and Algorithms (8 papers)Web Data Mining and Analysis (5 papers)
Journals
ACM SIGMOD RecordIEEE Data(base) Engineering Bulletin

In The Last Decade

Grégory Cobéna

11 papers receiving 503 citations

Peers

Grégory Cobéna
Comparison fields: 5 of 38
  • Computer Networks and Communications 411
  • Information Systems 324
  • Artificial Intelligence 277
  • Signal Processing 164
  • Statistical and Nonlinear Physics 48
Replace Keishi Tajima with:
Keishi Tajima Japan
Birhanu Eshete United States
David Simmen United States
Allison L. Powell United States
Dimitrios Tsoumakos Greece
Zografoula Vagena United States
Paulo B. Golgher Brazil
Ken Baclawski United States
Jeff Naughton United States
Grégory Cobéna relative to Keishi Tajima Japan Keishi Tajima's profile →
Citations per field
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Citations per year

Countries citing papers authored by Grégory Cobéna

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Grégory Cobéna

This figure shows the co-authorship network connecting the top 25 collaborators of Grégory Cobéna. A scholar is included among the top collaborators of Grégory Cobéna 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 Grégory Cobéna. Grégory Cobéna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 234
2 16
3 89
4 2
5 125
6
Construction and Maintenance of a Set Of Pages Of Interest (SPIN) using Active XML.
0
7
Computing Web Page Importance without Storing the Graph of the Web (extended abstract).
2
8
A comparative study for XML change detection.
16
9
Detecting Changes in XML documents.
4
10 6
11 74
12
Query Subscription in an XML Webhouse.
3

About Grégory Cobéna

Grégory Cobéna is a scholar working on Signal Processing, Computer Networks and Communications and Information Systems, 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) and Web Data Mining and Analysis (5 papers). The work is most often cited by research in Computer Networks and Communications (411 citations), Signal Processing (164 citations) and Information Systems (324 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, Angela Bonifati, Tova Milo, 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.

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