Bernard Archimède

754 citations
58 papers · 414 · h-index 11

Impact in

Papers in

Bernard Archimède

56 papers receiving 403 citations

Peers

Bernard Archimède
Comparison fields: 5 of 65
  • Industrial and Manufacturing Engineering 153
  • Medical Laboratory Technology 9
  • Management Information Systems 42
  • Management Science and Operations Research 49
  • Safety, Risk, Reliability and Quality 31
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Banu Soylu Türkiye
Zaharah Bukhsh Netherlands
In‐Jae Jeong South Korea
Ana Luísa Ramos Portugal
Alp Akçay Netherlands
Paweł Pawlewski Poland
Orlando Durán Chile
Belgacem Bettayeb France
Zohaib Jan Australia
François de Bertrand de Beuvron France
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Citations per year

Countries citing papers authored by Bernard Archimède

Since Specialization
Citations

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

Fields of papers citing papers by Bernard Archimède

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Bernard Archimède, 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 Bernard Archimède Line = papers co-authored together Bernard Archimède links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200134
2 201330
3 201723
4 200223
5 202421
6 200621
7 202021
8 201120
9 201718
10 202115
11 202011
12 201810
13 200910
14 201910
15 200310
16 20178
17 20208
18 20137
19 20196
20 20176

About Bernard Archimède

Bernard Archimède is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering, Information Systems, Control and Systems Engineering and Civil and Structural Engineering, having authored 58 papers that have together received 414 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (14 papers), Service-Oriented Architecture and Web Services (11 papers), Scheduling and Optimization Algorithms (11 papers), Advanced Manufacturing and Logistics Optimization (8 papers), Water resources management and optimization (5 papers), Water Systems and Optimization (5 papers), Biomedical Text Mining and Ontologies (5 papers) and Risk and Safety Analysis (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (153 citations), Medical Laboratory Technology (9 citations), Management Information Systems (42 citations), Management Science and Operations Research (49 citations) and Safety, Risk, Reliability and Quality (31 citations). Bernard Archimède has collaborated with scholars based in France, United States and Cameroon. Frequent co-authors include Mohamed Hedi Karray, Thierry Coudert, Raymond Houé Ngouna, Bernard Grabot, Barry Smith, Hajer Baazaoui Zghal, Thierry Louge, Muhammad Raza Naqvi, Zakaria Maamar and Éric Duviella. Their work appears in journals such as Journal of Decision System, Computers in Industry, Engineering Applications of Artificial Intelligence, International Journal of Production Research and Sustainability.

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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