Jérôme Darmont

30 papers receiving 301 citations

Peers

Jérôme Darmont
Comparison fields: 5 of 53
  • Management Information Systems 84
  • Signal Processing 88
  • Computer Networks and Communications 159
  • Management Science and Operations Research 85
  • Information Systems 137
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Antonio Badia United States
Dmitriy Zheleznyakov United Kingdom
Cheng Hian Goh Singapore
Stephen W. Liddle United States
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Orlando Belo Portugal
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Citations per year

Countries citing papers authored by Jérôme Darmont

Since Specialization
Citations

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

Fields of papers citing papers by Jérôme Darmont

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jérôme Darmont, 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 Jérôme Darmont Line = papers co-authored together Jérôme Darmont links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201364
2 200948
3 202338
4 201033
5 201317
6 201117
7 200815
8 200515
9 202212
10 202010
11 20229
12
Clustering-based materialized view selection in data warehouses
20067
13 20196
14 20006
15 20054
16 20174
17 20184
18 20204
19
Proceedings of the 1st International Workshop on Cloud Intelligence
20123
20 20073

About Jérôme Darmont

Jérôme Darmont is a scholar working on Computer Networks and Communications, Signal Processing, Artificial Intelligence, Management Information Systems and Information Systems, having authored 33 papers that have together received 335 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (19 papers), Data Management and Algorithms (12 papers), Big Data and Business Intelligence (10 papers), Data Quality and Management (7 papers), Semantic Web and Ontologies (7 papers), Data Mining Algorithms and Applications (5 papers), Cloud Computing and Resource Management (2 papers) and Data Stream Mining Techniques (2 papers). The work is most often cited by research in Management Information Systems (84 citations), Signal Processing (88 citations), Computer Networks and Communications (159 citations), Management Science and Operations Research (85 citations) and Information Systems (137 citations). Jérôme Darmont has collaborated with scholars based in France, Denmark and Poland. Frequent co-authors include Kamel Aouiche, Omar Boussaïd, Felix Naumann, Juan Trujillo, José-Norberto Mazón, Stefano Rizzi, Lorena Etcheverry, Gottfried Vossen, Alberto Abelló and Matteo Golfarelli. Their work appears in journals such as Information Systems Frontiers, Journal of Database Management, Information Systems, International Journal of Data Warehousing and Mining and Journal of Global Optimization.

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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