Didier Coquin

989 total citations
47 papers, 519 citations indexed

About

Didier Coquin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Analytical Chemistry. According to data from OpenAlex, Didier Coquin has authored 47 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 7 papers in Analytical Chemistry. Recurrent topics in Didier Coquin's work include Image Retrieval and Classification Techniques (9 papers), Video Analysis and Summarization (8 papers) and Medical Image Segmentation Techniques (7 papers). Didier Coquin is often cited by papers focused on Image Retrieval and Classification Techniques (9 papers), Video Analysis and Summarization (8 papers) and Medical Image Segmentation Techniques (7 papers). Didier Coquin collaborates with scholars based in France, Romania and Japan. Didier Coquin's co-authors include Reda Boukezzoula, Bogdan Ionescu, Patrick Lambert, Vasile Buzuloiu, Guillaume Cerutti, Laure Tougne, Antoine Vacavant, P. Bolon, Julien Mille and Bernard Fanget and has published in prestigious journals such as The Science of The Total Environment, Expert Systems with Applications and Information Sciences.

In The Last Decade

Didier Coquin

46 papers receiving 469 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Didier Coquin France 14 176 113 104 68 62 47 519
Hassiba Nemmour Algeria 14 424 2.4× 24 0.2× 175 1.7× 83 1.2× 12 0.2× 61 780
Minyoung Kim South Korea 12 175 1.0× 33 0.3× 137 1.3× 18 0.3× 27 0.4× 69 503
Sunil Kumar Jha India 6 87 0.5× 169 1.5× 89 0.9× 7 0.1× 14 0.2× 10 511
Marcela Charfuelàn Germany 9 136 0.8× 36 0.3× 224 2.2× 10 0.1× 12 0.2× 32 558
Yukinobu Hoshino Japan 12 44 0.3× 38 0.3× 115 1.1× 10 0.1× 45 0.7× 89 498
Mogeeb A. A. Mosleh Yemen 11 52 0.3× 46 0.4× 77 0.7× 22 0.3× 8 0.1× 29 341
Zhanguo Wei China 8 218 1.2× 22 0.2× 132 1.3× 10 0.1× 15 0.2× 17 486
Masud Ibn Afjal Bangladesh 10 99 0.6× 42 0.4× 89 0.9× 24 0.4× 9 0.1× 39 430
Antonio‐Javier Gallego Spain 15 341 1.9× 43 0.4× 187 1.8× 7 0.1× 22 0.4× 41 802
Woo Chaw Seng Malaysia 13 379 2.2× 100 0.9× 151 1.5× 28 0.4× 6 0.1× 39 776

Countries citing papers authored by Didier Coquin

Since Specialization
Citations

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

Fields of papers citing papers by Didier Coquin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Didier Coquin

This figure shows the co-authorship network connecting the top 25 collaborators of Didier Coquin. A scholar is included among the top collaborators of Didier Coquin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Didier Coquin. Didier Coquin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Benoît, Alexandre, Didier Coquin, Bernard Fanget, et al.. (2021). Sedimentary structure discrimination with hyperspectral imaging in sediment cores. The Science of The Total Environment. 817. 152018–152018. 12 indexed citations
2.
Pignol, Cécile, et al.. (2021). Structure-from-motion, multi-view stereo photogrammetry applied to line-scan sediment core images. Journal of Paleolimnology. 66(3). 249–260. 6 indexed citations
3.
Boukezzoula, Reda, Luc Jaulin, & Didier Coquin. (2021). A new methodology for solving fuzzy systems of equations: Thick fuzzy sets based approach. Fuzzy Sets and Systems. 435. 107–128. 15 indexed citations
4.
Boukezzoula, Reda & Didier Coquin. (2021). Interval-valued fuzzy regression: Philosophical and methodological issues. Applied Soft Computing. 103. 107145–107145. 7 indexed citations
5.
Coquin, Didier, et al.. (2019). Evidential two-step tree species recognition approach from leaves and bark. Expert Systems with Applications. 146. 113154–113154. 5 indexed citations
6.
Perrette, Yves, Bernard Fanget, Pierre Sabatier, et al.. (2019). High-resolution prediction of organic matter concentration with hyperspectral imaging on a sediment core. The Science of The Total Environment. 663. 236–244. 27 indexed citations
7.
Boukezzoula, Reda, et al.. (2019). A possibilistic regression based on gradual interval B-splines: Application for hyperspectral imaging lake sediments. Information Sciences. 510. 183–204. 1 indexed citations
8.
Boukezzoula, Reda, et al.. (2017). Multi-sensor information fusion: Combination of fuzzy systems and evidence theory approaches in color recognition for the NAO humanoid robot. Robotics and Autonomous Systems. 100. 302–316. 21 indexed citations
9.
Boukezzoula, Reda, et al.. (2015). Color Recognition for NAO Robot Using Sugeno Fuzzy System and Evidence. Advances in intelligent systems research. 3 indexed citations
10.
Cerutti, Guillaume, Laure Tougne, Didier Coquin, & Antoine Vacavant. (2014). Leaf margins as sequences: A structural approach to leaf identification. Pattern Recognition Letters. 49. 177–184. 24 indexed citations
11.
Ionescu, Bogdan, Didier Coquin, Patrick Lambert, & Vasile Buzuloiu. (2008). A Fuzzy Color-Based Approach for Understanding Animated Movies Content in the Indexing Task. EURASIP Journal on Image and Video Processing. 2008. 1–17. 13 indexed citations
12.
Kofman, Jonathan, et al.. (2007). Optomechatronic Computer-Vision Systems II. 6718. 1 indexed citations
13.
Valet, Lionel, et al.. (2007). A 3D image-segmented evaluation procedure in a cooperative fusion system context. 13. 1–8. 1 indexed citations
14.
Ionescu, Bogdan, Patrick Lambert, Didier Coquin, & Vasile Buzuloiu. (2006). Fuzzy Color-Based Semantic Characterization of Animation Movies. Conference on Colour in Graphics Imaging and Vision. 3(1). 65–69. 2 indexed citations
15.
Coquin, Didier, Éric Benoît, Hideyuki Sawada, & Bogdan Ionescu. (2006). Gestures Recognition Based on the Fusion of Hand Positioning and Arm Gestures. Journal of Robotics and Mechatronics. 18(6). 751–759. 4 indexed citations
16.
Ionescu, Bogdan, et al.. (2006). Color-based semantic characterization of cartoons. 1. 223–226. 5 indexed citations
17.
Ionescu, Bogdan, Vasile Buzuloiu, Patrick Lambert, & Didier Coquin. (2006). Improved Cut Detection for the Segmentation of Animation Movies. 2. II–641. 18 indexed citations
18.
Coquin, Didier, et al.. (2003). Reconnaissance de gestes dynamiques de la main. 348(6231). 1248737–1248737. 1 indexed citations
19.
Coquin, Didier, et al.. (2002). 3D nonstationary local distance operator. 3. 951–954. 3 indexed citations
20.
Coquin, Didier & P. Bolon. (1995). Discrete distance operator on rectangular grids. Pattern Recognition Letters. 16(9). 911–923. 13 indexed citations

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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