Franck Ravat

36 papers receiving 165 citations

Peers

Franck Ravat
Comparison fields: 5 of 30
  • Signal Processing 70
  • Computer Networks and Communications 109
  • Information Systems 79
  • Artificial Intelligence 98
  • Management Science and Operations Research 37
Replace Elisabeth Métais with:
Elisabeth Métais France
Hugh Darwen United Kingdom
Andreas Heuer Germany
Luca Cabibbo Italy
José Samos Spain
Sabine Loudcher France
Lukas Blunschi Switzerland
Noureddine Mouaddib France
Peter McBrien United Kingdom
Luping Ding United States
Franck Ravat relative to Elisabeth Métais France Elisabeth Métais's profile →
Citations per field
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Citations per year

Countries citing papers authored by Franck Ravat

Since Specialization
Citations

This map shows the geographic impact of Franck Ravat'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 Franck Ravat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Franck Ravat more than expected).

Fields of papers citing papers by Franck Ravat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Franck Ravat. 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 Franck Ravat. The network helps show where Franck Ravat may publish in the future.

Co-authors

The 15 scholars most cited alongside Franck Ravat, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Franck Ravat Line = papers co-authored together Franck Ravat links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200825
2 200720
3 200916
4 200814
5 201512
6 202011
7
Constraints and Multidimensional Databases.
20039
8 20077
9
La fragmentation d'un schéma conceptuel orienté objet
19956
10 19996
11 20195
12 20185
13 20194
14 20113
15 20053
16 20143
17
Méthode de conception d'une base multidimensionnelle contrainte.
20052
18 20162
19 20152
20 20222

About Franck Ravat

Franck Ravat is a scholar working on Computer Networks and Communications, Artificial Intelligence, Signal Processing, Information Systems and Computer Vision and Pattern Recognition, having authored 42 papers that have together received 176 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (30 papers), Semantic Web and Ontologies (28 papers), Data Management and Algorithms (19 papers), Data Mining Algorithms and Applications (5 papers), Data Quality and Management (5 papers), Web Data Mining and Analysis (3 papers), Data Visualization and Analytics (3 papers) and Service-Oriented Architecture and Web Services (3 papers). The work is most often cited by research in Signal Processing (70 citations), Computer Networks and Communications (109 citations), Information Systems (79 citations), Artificial Intelligence (98 citations) and Management Science and Operations Research (37 citations). Franck Ravat has collaborated with scholars based in France, Tunisia and India. Frequent co-authors include Olivier Teste, Gilles Zurfluh, Ronan Tournier, Houssem Jerbi, Jamel Feki, Faı̈ez Gargouri, Claude Chrisment, Julien Aligon, Mohammed A. Alqarni and Hrachya Astsatryan. Their work appears in journals such as International Journal of Data Warehousing and Mining, International Journal of Information Management, Data & Knowledge Engineering, Journal of Decision System and Journal of the Association for Information Systems.

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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