Patrick Siarry

2.9k citations
35 papers · 2.1k indexed · 1 hit paper · h-index 21

Impact in

Papers in

Patrick Siarry

35 papers receiving 2.0k citations

Hit Papers

Nonlinear inertia weight variation for dynamic adaptation in particle swarm optimization 2004 · 515 citations
5152004202620112018100200300400500

Peers

Patrick Siarry
Comparison fields: 5 of 120
  • Computer Vision and Pattern Recognition 630
  • Artificial Intelligence 879
  • Industrial and Manufacturing Engineering 269
  • Media Technology 231
  • Computational Theory and Mathematics 412
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Milan Tuba Serbia
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Citations per field
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Citations per year

Countries citing papers authored by Patrick Siarry

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Siarry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 201750
3 20157
4 201410
5 20146
6 20142
7 20134
8 201374
9 201310
10 201263
11 201284
12 201237
13 20111
14 2009157
15 200816
16
Microscopic image segmentation with two-dimensional exponential entropy based on hybrid microcanonical annealing
20079
17 200713
18 200738
19 200780
20 200522

About Patrick Siarry

Patrick Siarry is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Media Technology, Industrial and Manufacturing Engineering and Computational Theory and Mathematics, having authored 35 papers that have together received 2.1k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (11 papers), Metaheuristic Optimization Algorithms Research (8 papers), Advanced Image and Video Retrieval Techniques (6 papers), Advanced Multi-Objective Optimization Algorithms (5 papers), Indoor and Outdoor Localization Technologies (4 papers), Speech and Audio Processing (4 papers), Evolutionary Algorithms and Applications (4 papers) and Image Retrieval and Classification Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (630 citations), Artificial Intelligence (879 citations), Industrial and Manufacturing Engineering (269 citations), Media Technology (231 citations) and Computational Theory and Mathematics (412 citations). Patrick Siarry has collaborated with scholars based in France, India and Algeria. Frequent co-authors include Amitava Chatterjee, Musrrat Ali, Kamal Hammouche, Moussa Diaf, Amir Nakib, Bassem Jarboui, Hamouche Oulhadj, Ilhem Boussaïd, Taïcir Loukil and Chang Wook Ahn. Their work appears in journals such as Engineering Applications of Artificial Intelligence, Computers & Operations Research, Expert Systems with Applications, Signal Processing and IEEE Transactions on Mobile Computing.

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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