Ján Morovič

945 citations
68 papers · 526 · h-index 12

Impact in

Papers in

Ján Morovič

60 papers receiving 414 citations

Peers

Ján Morovič
Comparison fields: 5 of 53
  • Computer Graphics and Computer-Aided Design 65
  • Computer Vision and Pattern Recognition 352
  • Atomic and Molecular Physics, and Optics 392
  • Media Technology 65
  • Social Psychology 131
Replace Ricardo J. Motta with:
Ricardo J. Motta United States
Peter G. Engeldrum United States
Peter Morovič United Kingdom
David R. Wyble United States
Yeong‐Ho Ha South Korea
Steven D. Hordley United Kingdom
Nathan Moroney United States
Lawrence A. Taplin United States
Phillip J. Marlow Australia
Jeffrey M. DiCarlo United States
Ján Morovič relative to Ricardo J. Motta United States Ricardo J. Motta's profile →
Citations per field
00.5×
Ricardo J. Motta · 1×
Citations per year

Countries citing papers authored by Ján Morovič

Since Specialization
Citations

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

Fields of papers citing papers by Ján Morovič

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Ján Morovič, 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 Ján Morovič Line = papers co-authored together Ján Morovič links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008133
2 200331
3 199729
4
A Multi-Resolution, Full-Colour Spatial Gamut Mapping Algorithm.
200325
5 200220
6 200319
7 201918
8 200018
9 199516
10 201115
11 200213
12 200311
13 199810
14
Color Gamut Mapping
200810
15 20129
16 20178
17 20128
18 20027
19 20087
20 20007

About Ján Morovič

Ján Morovič is a scholar working on Atomic and Molecular Physics, and Optics, Computer Vision and Pattern Recognition, Social Psychology, Cognitive Neuroscience and Industrial and Manufacturing Engineering, having authored 68 papers that have together received 526 indexed citations. Recurring topics across this work include Color Science and Applications (54 papers), Color perception and design (20 papers), Image Enhancement Techniques (13 papers), Industrial Vision Systems and Defect Detection (11 papers), Visual perception and processing mechanisms (8 papers), Advanced Vision and Imaging (7 papers), Computer Graphics and Visualization Techniques (5 papers) and Aesthetic Perception and Analysis (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (65 citations), Computer Vision and Pattern Recognition (352 citations), Atomic and Molecular Physics, and Optics (392 citations), Media Technology (65 citations) and Social Psychology (131 citations). Ján Morovič has collaborated with scholars based in United Kingdom, United States and Taiwan. Frequent co-authors include Pei‐Li Sun, Ming Ronnier Luo, Peter Morovič, Yu Wang, Lindsay MacDonald, Ming Ronnier Luo, Byoung‐Ho Kang, Guihua Cui, Robert Ulichney and Vien Cheung. Their work appears in journals such as IEEE Transactions on Image Processing, Color Research & Application, Journal of Imaging Science and Technology, Journal of the Optical Society of America A and Pattern Recognition Letters.

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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