Dominique Ginhac

1.4k total citations
62 papers, 700 citations indexed

About

Dominique Ginhac is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Media Technology. According to data from OpenAlex, Dominique Ginhac has authored 62 papers receiving a total of 700 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 20 papers in Electrical and Electronic Engineering and 11 papers in Media Technology. Recurrent topics in Dominique Ginhac's work include CCD and CMOS Imaging Sensors (19 papers), Advanced Vision and Imaging (11 papers) and Image Processing Techniques and Applications (11 papers). Dominique Ginhac is often cited by papers focused on CCD and CMOS Imaging Sensors (19 papers), Advanced Vision and Imaging (11 papers) and Image Processing Techniques and Applications (11 papers). Dominique Ginhac collaborates with scholars based in France, Belgium and Lebanon. Dominique Ginhac's co-authors include Barthélémy Heyrman, Christophe Cruz, Muhammad Arslan, Pierre‐Jean Lapray, Michel Paindavoine, Jocelyn Sérot, Ana Roxin, Stéphanie Chambaron, Pierre Perruchet and Fabrice Mériaudeau and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Dominique Ginhac

53 papers receiving 664 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dominique Ginhac France 16 181 157 82 76 75 62 700
Hai Liu China 15 578 3.2× 119 0.8× 16 0.2× 66 0.9× 41 0.5× 30 1.2k
Jianjun Chen China 15 256 1.4× 51 0.3× 22 0.3× 56 0.7× 35 0.5× 80 748
Liu 11 100 0.6× 184 1.2× 14 0.2× 211 2.8× 63 0.8× 278 920
Ghyslain Gagnon Canada 16 317 1.8× 301 1.9× 15 0.2× 139 1.8× 90 1.2× 90 1.1k
Gemma Roig Germany 15 412 2.3× 37 0.2× 24 0.3× 42 0.6× 37 0.5× 51 864
Roberto Prevete Italy 16 125 0.7× 108 0.7× 21 0.3× 26 0.3× 52 0.7× 63 1.1k
Yizeng Han China 12 559 3.1× 141 0.9× 13 0.2× 80 1.1× 53 0.7× 22 1.0k
Nuno Gonçalves Portugal 13 351 1.9× 46 0.3× 12 0.1× 76 1.0× 44 0.6× 64 729

Countries citing papers authored by Dominique Ginhac

Since Specialization
Citations

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

Fields of papers citing papers by Dominique Ginhac

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dominique Ginhac

This figure shows the co-authorship network connecting the top 25 collaborators of Dominique Ginhac. A scholar is included among the top collaborators of Dominique Ginhac 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 Dominique Ginhac. Dominique Ginhac 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.
Wu, Zongwei, Danda Pani Paudel, Rémi Boutteau, et al.. (2024). Event-Free Moving Object Segmentation from Moving Ego Vehicle. 8960–8965.
2.
Presles, Benoît, Sarah Leclerc, Fabrice Mériaudeau, et al.. (2023). A Tumour and Liver Automatic Segmentation (ATLAS) Dataset on Contrast-Enhanced Magnetic Resonance Imaging for Hepatocellular Carcinoma. Data. 8(5). 79–79. 28 indexed citations
3.
Azar, Joseph, Jacques Bou Abdo, Jacques Demerjian, et al.. (2023). Cross-Layer Federated Learning for Lightweight IoT Intrusion Detection Systems. Sensors. 23(16). 7038–7038. 18 indexed citations
4.
Mériaudeau, Fabrice, Ramin Tadayoni, Dominique Ginhac, et al.. (2023). A Retinal Oct-Angiography and Cardiovascular STAtus (RASTA) Dataset of Swept-Source Microvascular Imaging for Cardiovascular Risk Assessment. Data. 8(10). 147–147. 7 indexed citations
5.
Abdo, Jacques Bou, et al.. (2021). A Critical Review on the Implementation of Static Data Sampling Techniques to Detect Network Attacks. IEEE Access. 9. 138903–138938. 5 indexed citations
6.
Liu, Yü, Fan Yang, & Dominique Ginhac. (2021). ACDnet: An action detection network for real-time edge computing based on flow-guided feature approximation and memory aggregation. Pattern Recognition Letters. 145. 118–126. 11 indexed citations
7.
Mitéran, Johel, et al.. (2019). Traditional Machine Learning or Deep Learning Methods for Embedded Computer Vision Study on Biometric Application. RePEc: Research Papers in Economics. 9(1). 28–30.
8.
Arslan, Muhammad, Christophe Cruz, & Dominique Ginhac. (2019). Spatio-temporal dataset of building occupants. SHILAP Revista de lepidopterología. 27. 104598–104598. 2 indexed citations
9.
Arslan, Muhammad, Christophe Cruz, & Dominique Ginhac. (2019). Visualizing intrusions in dynamic building environments for worker safety. Safety Science. 120. 428–446. 29 indexed citations
10.
Nebhen, Jamel, Julien Dubois, Sofiène Mansouri, & Dominique Ginhac. (2019). Low-noise and low power CMOS photoreceptor using split-length MOSFET. Journal of Electrical Engineering. 70(6). 480–485.
11.
Mitéran, Johel, et al.. (2018). Image quality enhancement based on real-time deconvolution and super resolution. 3. 99–99. 1 indexed citations
12.
Li, Chao, et al.. (2017). High-level synthesis for FPGAs: code optimization strategies for real-time image processing. Journal of Real-Time Image Processing. 14(3). 701–712. 11 indexed citations
13.
Gao, Xinbo, et al.. (2015). Architecture-Driven Level Set Optimization: From Clustering to Subpixel Image Segmentation. IEEE Transactions on Cybernetics. 46(12). 3181–3194. 10 indexed citations
14.
Lapray, Pierre‐Jean & Dominique Ginhac. (2012). High Dynamic Range Real-time Vision System for Robotic Applications. univOAK (4 institutions : Université de Strasbourg, Université de Haute Alsace, INSA Strasbourg, Bibliothèque Nationale et Universitaire de Strasbourg). 1 indexed citations
15.
Olivier, Isabelle, et al.. (2012). Multiple representations and mechanisms for visuomotor adaptation in young children. Human Movement Science. 31(6). 1425–1435. 10 indexed citations
16.
Chambaron, Stéphanie, Bruno Berberian, Dominique Ginhac, Laure Delbecque, & Axel Cleeremans. (2010). Action, observation et imagerie mentale d’une action : peut-on apprendre implicitement dans tous les cas ?. L’Année psychologique. Vol. 110(3). 351–364. 1 indexed citations
17.
Ginhac, Dominique, et al.. (2006). Design of a 10000 Frames/s CMOS Sensor with In Situ Image Processing.. 177–182.
18.
Chambaron, Stéphanie, Dominique Ginhac, & Pierre Perruchet. (2006). Is Learning in SRT Tasks Robust Across Procedural Variations. eScholarship (California Digital Library). 28(28). 2 indexed citations
19.
Ginhac, Dominique, Eri Prasetyo Wibowo, Michel Paindavoine, & Barthélémy Heyrman. (2006). Principles of a CMOS Sensor Dedicated to Face Tracking and Recognition. 31. 33–38.
20.
Ginhac, Dominique, et al.. (1998). Fast Prototyping of Image Processing Applications Using Functional Skeletons on a MIMD-DM Architecture. Machine Vision and Applications. 468–471. 2 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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