Dominique Ginhac

1.4k citations
62 papers · 700 indexed · h-index 16

Dominique Ginhac

53 papers receiving 664 citations

Peers

Dominique Ginhac
Comparison fields: 5 of 104
  • Radiological and Ultrasound Technology 61
  • Computer Vision and Pattern Recognition 181
  • Media Technology 75
  • Medical Laboratory Technology 11
  • Building and Construction 82
Replace Hai Liu with:
Hai Liu China
Brett J. Borghetti United States
Eric Haines United States
Suk‐Ju Kang South Korea
Nuno Gonçalves Portugal
Alan Watt United Kingdom
Jun Okamoto Japan
Dominique Ginhac relative to Hai Liu China Hai Liu's profile →
Citations per field
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Hai Liu · 1×
Citations per year

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

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20237
3 202328
4 202318
5 20215
6
Traditional Machine Learning or Deep Learning Methods for Embedded Computer Vision Study on Biometric Application
20190
7 20192
8 201929
9 20190
10 20181
11 20182
12 201711
13 20161
14 20137
15
High Dynamic Range Real-time Vision System for Robotic Applications
20121
16 201210
17 20086
18
Design of a 10000 Frames/s CMOS Sensor with In Situ Image Processing.
20060
19
Is Learning in SRT Tasks Robust Across Procedural Variations
20062
20
Fast Prototyping of Image Processing Applications Using Functional Skeletons on a MIMD-DM Architecture
19982

About Dominique Ginhac

Dominique Ginhac is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Instrumentation, having authored 62 papers that have together received 700 indexed citations. Recurring topics across this work include CCD and CMOS Imaging Sensors (19 papers), Advanced Vision and Imaging (11 papers), Image Processing Techniques and Applications (11 papers), Infrared Target Detection Methodologies (9 papers), Motor Control and Adaptation (8 papers), Image Enhancement Techniques (8 papers), Anomaly Detection Techniques and Applications (5 papers) and Embedded Systems Design Techniques (4 papers). The work is most often cited by research in Radiological and Ultrasound Technology (61 citations), Computer Vision and Pattern Recognition (181 citations) and Media Technology (75 citations). Dominique Ginhac has collaborated with scholars based in France, Belgium and Lebanon. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

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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