Marc Mahy

540 citations
15 papers · 398 · h-index 7

Impact in

Papers in

Marc Mahy

15 papers receiving 358 citations

Peers

Marc Mahy
Comparison fields: 5 of 93
  • Computer Graphics and Computer-Aided Design 28
  • Computer Vision and Pattern Recognition 157
  • Conservation 24
  • Atomic and Molecular Physics, and Optics 175
  • Media Technology 45
Replace Luc Van Eycken with:
Luc Van Eycken Belgium
Esther Perales Spain
Di-Yuan Tzeng United States
Xiaoxia Wan China
Kees Teunissen Netherlands
Mitchell R. Rosen United States
David H. Alman United States
Jinxing Liang China
Roderick McDonald United Kingdom
Claudio Oleari Italy
Marc Mahy relative to Luc Van Eycken Belgium Luc Van Eycken's profile →
Citations per field
00.5×1.5×1.8×
Luc Van Eycken · 1×
Citations per year

Countries citing papers authored by Marc Mahy

Since Specialization
Citations

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

Fields of papers citing papers by Marc Mahy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Marc Mahy, 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 Marc Mahy Line = papers co-authored together Marc Mahy links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 1994276
2 200625
3 199725
4 199617
5
The influence of uniform color spaces on color image processing : a comparative study of CIELAB, CIELUV, and ATD
199112
6 199711
7 20129
8 19965
9 19885
10 19945
11 20003
12 19972
13
A simple uniform distance measure for image processing based on the PAL and NTSC video standards
19941
14 19951
15
Evaluation of uniform colour spaces for image processing
19941

About Marc Mahy

Marc Mahy is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Aerospace Engineering and Social Psychology, having authored 15 papers that have together received 398 indexed citations. Recurring topics across this work include Color Science and Applications (10 papers), Infrared Target Detection Methodologies (2 papers), Semiconductor Quantum Structures and Devices (1 paper), Quantum and electron transport phenomena (1 paper), Magneto-Optical Properties and Applications (1 paper), Magnetism in coordination complexes (1 paper), Electron Spin Resonance Studies (1 paper) and Image Processing Techniques and Applications (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (28 citations), Computer Vision and Pattern Recognition (157 citations), Conservation (24 citations), Atomic and Molecular Physics, and Optics (175 citations) and Media Technology (45 citations). Marc Mahy has collaborated with scholars based in Belgium and United States. Frequent co-authors include Luc Van Eycken, A. Oosterlinck, Raja Bala, Michael H. Brill, Pieter Janssen, Patrick Wambacq, W. P. Wolf, F. M. Peeters, F. Herlach and G. Borghs. Their work appears in journals such as Color Research & Application, Physica B Condensed Matter, Physical review. B, Condensed matter and Color and Imaging Conference.

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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