Peter Morovič
- Atomic and Molecular Physics, and Optics top 10%
- Computer Vision and Pattern Recognition top 5%
- Media Technology top 5%
- Social Psychology
- Cognitive Neuroscience
- Co-authors
- Graham D. FinlaysonJán MorovičS. D. HordleySteven D. HordleyRobert UlichneyVien CheungHideaki HaneishiIngeborg Tastl
- Topics
- Color Science and Applications (33 papers)Image Enhancement Techniques (16 papers)Visual perception and processing mechanisms (7 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionAtomic and Molecular Physics, and Optics
- Journals
- IEEE Transactions on Image ProcessingDental MaterialsJournal of the Optical Society of America A
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Peter Morovič
35 papers receiving 234 citations
Peers
Comparison fields: 5 of 42
- Atomic and Molecular Physics, and Optics 226
- Computer Vision and Pattern Recognition 174
- Media Technology 56
- Social Psychology 53
- Cognitive Neuroscience 48
Countries citing papers authored by Peter Morovič
This map shows the geographic impact of Peter 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 Peter Morovič with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Morovič more than expected).
Fields of papers citing papers by Peter Morovič
This network shows the impact of papers produced by Peter 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 Peter Morovič. The network helps show where Peter Morovič may publish in the future.
Co-authorship network of co-authors of Peter Morovič
This figure shows the co-authorship network connecting the top 25 collaborators of Peter Morovič. A scholar is included among the top collaborators of Peter Morovič 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 Peter Morovič. Peter Morovič is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 8 | |
| 8 | 3 | |
| 9 | 9 | |
| 10 | 8 | |
| 11 | 15 | |
| 12 | HANS - A New Color Separation and Halftoning Paradigm. | 5 |
| 13 | 0 | |
| 14 | 34 | |
| 15 | 3 | |
| 16 | 10 | |
| 17 | 3 | |
| 18 | 1 | |
| 19 | 13 | |
| 20 | 18 |
About Peter Morovič
Peter Morovič is a scholar working on Computer Graphics and Computer-Aided Design, Atomic and Molecular Physics, and Optics and Computer Vision and Pattern Recognition, having authored 40 papers that have together received 272 indexed citations. Recurring topics across this work include Color Science and Applications (33 papers), Image Enhancement Techniques (16 papers) and Visual perception and processing mechanisms (7 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (38 citations), Computer Vision and Pattern Recognition (174 citations) and Atomic and Molecular Physics, and Optics (226 citations). Peter Morovič has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Graham D. Finlayson, Ján Morovič, S. D. Hordley, Steven D. Hordley, Robert Ulichney, Vien Cheung, Hideaki Haneishi, Ingeborg Tastl, Marco Fiorentino and Pei‐Li Sun. Their work appears in journals such as IEEE Transactions on Image Processing, Dental Materials and Journal of the Optical Society of America A.
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.