Stéphane Lopes

22 papers receiving 404 citations

Peers

Stéphane Lopes
Comparison fields: 5 of 56
  • Management Science and Operations Research 245
  • Signal Processing 130
  • Information Systems 260
  • Computer Networks and Communications 256
  • Artificial Intelligence 167
Replace Iztok Savnik with:
Iztok Savnik Slovenia
Rosine Cicchetti France
Salvatore Raunich Italy
Fadila Bentayeb France
Oliver Lehmberg Germany
Millist W. Vincent Australia
François Goasdoué France
Bruno Marnette United Kingdom
Ángel Mora Spain
Melanie Weis Germany
Stéphane Lopes relative to Iztok Savnik Slovenia Iztok Savnik's profile →
Citations per field
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Iztok Savnik · 1×
Citations per year

Countries citing papers authored by Stéphane Lopes

Since Specialization
Citations

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

Fields of papers citing papers by Stéphane Lopes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Stéphane Lopes, 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 Stéphane Lopes Line = papers co-authored together Stéphane Lopes links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000135
2 200252
3 200850
4 200248
5 199938
6 200237
7 200322
8 20088
9 20167
10 20107
11 20026
12 20176
13 20205
14
Keyword Search Over RDF Graphs Using WordNet.
20184
15 20163
16 20192
17 20212
18
Schema Discovery in Large Web Data Sources.
20182
19 20082
20 20142

About Stéphane Lopes

Stéphane Lopes is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Signal Processing and Management Science and Operations Research, having authored 24 papers that have together received 440 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (13 papers), Semantic Web and Ontologies (11 papers), Data Management and Algorithms (10 papers), Data Quality and Management (7 papers), Data Mining Algorithms and Applications (6 papers), Service-Oriented Architecture and Web Services (3 papers), Web Data Mining and Analysis (2 papers) and Context-Aware Activity Recognition Systems (2 papers). The work is most often cited by research in Management Science and Operations Research (245 citations), Signal Processing (130 citations), Information Systems (260 citations), Computer Networks and Communications (256 citations) and Artificial Intelligence (167 citations). Stéphane Lopes has collaborated with scholars based in France, Portugal and United States. Frequent co-authors include Jean-Marc Petit, Lotfi Lakhal, Fabien De Marchi, Zoubida Kedad, Sofiane Abbar, Mokrane Bouzeghoub, Karine Zeitouni, Armen Aghasaryan, Stéphane Betge-Brezetz and Rafael A. Bernardes. Their work appears in journals such as Lecture notes in computer science, International Journal of Environmental Research and Public Health, Information Systems, Data & Knowledge Engineering and Journal of Intelligent 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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