Bernard Kamsu-Foguem

3.2k citations
89 papers · 2.3k indexed · 2 hit papers · h-index 26

Bernard Kamsu-Foguem

86 papers receiving 2.2k citations

Hit Papers

Deep neural networks with transfer learning in millet cro...223201820262020202350100150200250

Peers

Bernard Kamsu-Foguem
Comparison fields: 5 of 171
  • Management Information Systems 285
  • Industrial and Manufacturing Engineering 260
  • Health Information Management 88
  • Artificial Intelligence 601
  • Building and Construction 239
Replace János Abonyi with:
János Abonyi Hungary
Cagatay Catal Türkiye
Teh Ying Wah Malaysia
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Citations per year

Countries citing papers authored by Bernard Kamsu-Foguem

Since Specialization
Citations

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

Fields of papers citing papers by Bernard Kamsu-Foguem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 202325
4 202327
5 20230
6 20214
7 202025
8 202018
9 20192
10 20179
11 201613
12 201536
13 201513
14 201415
15 201445
16 201370
17 2012118
18
Enterprise Model Verification : A Graph-Based Approach
20082
19
Complex System Properties Representation and Reasoning by Using the Conceptual Graphs
20080
20 200318

About Bernard Kamsu-Foguem

Bernard Kamsu-Foguem is a scholar working on Management Information Systems, Radiological and Ultrasound Technology and Tourism, Leisure and Hospitality Management, having authored 89 papers that have together received 2.3k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (30 papers), Business Process Modeling and Analysis (21 papers), Biomedical Text Mining and Ontologies (11 papers), Service-Oriented Architecture and Web Services (10 papers), BIM and Construction Integration (9 papers), Occupational Health and Safety Research (7 papers), Model-Driven Software Engineering Techniques (4 papers) and Manufacturing Process and Optimization (4 papers). The work is most often cited by research in Management Information Systems (285 citations), Industrial and Manufacturing Engineering (260 citations) and Health Information Management (88 citations). Bernard Kamsu-Foguem has collaborated with scholars based in France, Mali and United Kingdom. Frequent co-authors include Clovis Foguem, Fana Tangara, Fonbeyin Henry Abanda, Laurent Geneste, J.H.M. Tah, Raymond Houé Ngouna, Amèvi Tongne, Thierry Coudert, Vincent Chapurlat and Pierre Rumeau. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Expert Systems with Applications.

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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