Ján Morovič

950 citations
79 papers · 623 · h-index 12

Impact in

Papers in

Ján Morovič

67 papers receiving 480 citations

Peers

Ján Morovič
Comparison fields: 5 of 56
  • Computer Vision and Pattern Recognition 418
  • Computer Graphics and Computer-Aided Design 71
  • Atomic and Molecular Physics, and Optics 456
  • Media Technology 75
  • Social Psychology 143
Replace Ricardo J. Motta with:
Ricardo J. Motta United States
Henry R. Kang United States
Nathan Moroney United States
Peter G. Engeldrum United States
Michael Stokes United States
David R. Wyble United States
Mitchell R. Rosen United States
Peter Morovič United Kingdom
Po‐Chieh Hung United States
Yeong‐Ho Ha South Korea
Ján Morovič relative to Ricardo J. Motta United States Ricardo J. Motta's profile →
Citations per field
00.5×2×3×3.8×
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 25 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 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008167
2 200338
3 199734
4
A Multi-Resolution, Full-Colour Spatial Gamut Mapping Algorithm.
200330
5 200224
6 200320
7 201919
8 200019
9 201117
10 199516
11 200315
12 200213
13 201210
14 199810
15
Color Gamut Mapping
200810
16 20028
17 20178
18 20128
19 20028
20 20107

About Ján Morovič

Ján Morovič is a scholar working on Atomic and Molecular Physics, and Optics, Computer Vision and Pattern Recognition, Social Psychology, Industrial and Manufacturing Engineering and Cognitive Neuroscience, having authored 79 papers that have together received 623 indexed citations. Recurring topics across this work include Color Science and Applications (63 papers), Color perception and design (24 papers), Image Enhancement Techniques (15 papers), Industrial Vision Systems and Defect Detection (14 papers), Visual perception and processing mechanisms (10 papers), Advanced Vision and Imaging (7 papers), Computer Graphics and Visualization Techniques (6 papers) and Image Retrieval and Classification Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (418 citations), Computer Graphics and Computer-Aided Design (71 citations), Atomic and Molecular Physics, and Optics (456 citations), Media Technology (75 citations) and Social Psychology (143 citations). Ján Morovič has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Pei‐Li Sun, Ming Ronnier Luo, Peter Morovič, Yu Wang, Ming Ronnier Luo, Lindsay MacDonald, Byoung‐Ho Kang, Guihua Cui, Vien Cheung and Ángel Albarrán. Their work appears in journals such as IEEE Transactions on Image Processing, Pattern Recognition Letters, Color Research & Application, Journal of the Optical Society of America A and Journal of Imaging Science and Technology.

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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