S. Cahon

550 citations
11 papers · 436 · h-index 8

Impact in

Papers in

S. Cahon

11 papers receiving 408 citations

Peers

S. Cahon
Comparison fields: 5 of 58
  • Industrial and Manufacturing Engineering 87
  • Computational Theory and Mathematics 127
  • Artificial Intelligence 241
  • Computer Networks and Communications 155
  • Hardware and Architecture 36
Replace Kyeong‐Eun Han with:
Kyeong‐Eun Han South Korea
Alexander Klaas Germany
S. Ghose India
Cláudio N. Meneses Brazil
Oliver Bastert Germany
Dishan Qiu China
Yefim Dinitz Israel
Hans-Michael Voigt Germany
Laura Barbulescu United States
Pablo Rabanal Spain
S. Cahon relative to Kyeong‐Eun Han South Korea Kyeong‐Eun Han's profile →
Citations per field
00.5×1.5×2.0×
Kyeong‐Eun Han · 1×
Citations per year

Countries citing papers authored by S. Cahon

Since Specialization
Citations

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

Fields of papers citing papers by S. Cahon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 5 scholars most cited alongside S. Cahon, 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 S. Cahon Line = papers co-authored together S. Cahon links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2004276
2 200659
3 200621
4 200419
5 200516
6 200413
7
ParadisEO: A Framework for Parallel and Distributed Metaheuristics
200312
8 20029
9 20045
10 20063
11 20063

About S. Cahon

S. Cahon is a scholar working on Artificial Intelligence, Computer Networks and Communications, Hardware and Architecture, Computational Theory and Mathematics and Analytical Chemistry, having authored 11 papers that have together received 436 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (7 papers), Distributed and Parallel Computing Systems (5 papers), Evolutionary Algorithms and Applications (5 papers), Parallel Computing and Optimization Techniques (2 papers), Advanced Multi-Objective Optimization Algorithms (2 papers), Advanced MIMO Systems Optimization (2 papers), Advanced Data Storage Technologies (1 paper) and Gene Regulatory Network Analysis (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (87 citations), Computational Theory and Mathematics (127 citations), Artificial Intelligence (241 citations), Computer Networks and Communications (155 citations) and Hardware and Architecture (36 citations). S. Cahon has collaborated with scholars based in France. Frequent co-authors include Nouredine Melab, El‐Ghazali Talbi, El‐Ghazali Talbi, Ludovic Duponchel and Marc Schoenauer. Their work appears in journals such as Journal of Heuristics, Computer Communications, Journal of Parallel and Distributed Computing, Parallel Computing and Lecture notes in computer science.

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.

Explore authors with similar magnitude of impact