Dragan Sekulovski
- Cognitive Neuroscience top 10%
- Atomic and Molecular Physics, and Optics
- Computer Vision and Pattern Recognition top 10%
- Social Psychology
- Global and Planetary Change
- Co-authors
- M. BarbieriHans WedaIngrid VogelsIngrid HeynderickxYan TuSylvia C. PontLili WangHuib de Ridder
- Topics
- Color Science and Applications (24 papers)Visual perception and processing mechanisms (22 papers)Color perception and design (13 papers)
- Journals
- Journal of the Optical Society of America AIEEE Transactions on MultimediaJournal of Vision
- Partner nations
- NetherlandsFinlandUnited States
In The Last Decade
Dragan Sekulovski
34 papers receiving 238 citations
Peers
Comparison fields: 5 of 66
- Cognitive Neuroscience 108
- Atomic and Molecular Physics, and Optics 75
- Computer Vision and Pattern Recognition 68
- Social Psychology 59
- Global and Planetary Change 55
Countries citing papers authored by Dragan Sekulovski
This map shows the geographic impact of Dragan Sekulovski'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 Dragan Sekulovski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dragan Sekulovski more than expected).
Fields of papers citing papers by Dragan Sekulovski
This network shows the impact of papers produced by Dragan Sekulovski. 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 Dragan Sekulovski. The network helps show where Dragan Sekulovski may publish in the future.
Co-authorship network of co-authors of Dragan Sekulovski
This figure shows the co-authorship network connecting the top 25 collaborators of Dragan Sekulovski. A scholar is included among the top collaborators of Dragan Sekulovski 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 Dragan Sekulovski. Dragan Sekulovski 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 | 7 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 6 | |
| 7 | 4 | |
| 8 | Dynamic color perception : how fast are the Munsell hues? | 0 |
| 9 | 19 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 0 | |
| 15 | 30 | |
| 16 | 2 | |
| 17 | 1 | |
| 18 | 4 | |
| 19 | 3 | |
| 20 | 26 |
About Dragan Sekulovski
Dragan Sekulovski is a scholar working on Cognitive Neuroscience, Atomic and Molecular Physics, and Optics and Social Psychology, having authored 40 papers that have together received 257 indexed citations. Recurring topics across this work include Color Science and Applications (24 papers), Visual perception and processing mechanisms (22 papers) and Color perception and design (13 papers). The work is most often cited by research in Cognitive Neuroscience (108 citations), Ophthalmology (32 citations) and Computer Vision and Pattern Recognition (68 citations). Dragan Sekulovski has collaborated with scholars based in Netherlands, Finland and United States. Frequent co-authors include M. Barbieri, Hans Weda, Ingrid Vogels, Ingrid Heynderickx, Yan Tu, Sylvia C. Pont, Lili Wang, Huib de Ridder, Susan F. te Pas and Michael J. Murdoch. Their work appears in journals such as Journal of the Optical Society of America A, IEEE Transactions on Multimedia and Journal of Vision.
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.