Marcel P. Lucassen
- Atomic and Molecular Physics, and Optics top 10%
- Cognitive Neuroscience top 5%
- Social Psychology top 5%
- Computer Vision and Pattern Recognition top 5%
- Media Technology top 5%
- Co-authors
- Jan WalravenTheo GeversArjan GijsenijAlexander ToetFrans W. CornelissenTony VladusichZhongyu LouNinghang Hu
- Topics
- Color Science and Applications (26 papers)Visual perception and processing mechanisms (22 papers)Color perception and design (19 papers)
- Partner nations
- NetherlandsSpainGermany
In The Last Decade
Marcel P. Lucassen
34 papers receiving 562 citations
Peers
Comparison fields: 5 of 69
- Atomic and Molecular Physics, and Optics 332
- Cognitive Neuroscience 290
- Social Psychology 244
- Computer Vision and Pattern Recognition 223
- Media Technology 94
Countries citing papers authored by Marcel P. Lucassen
This map shows the geographic impact of Marcel P. Lucassen'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 Marcel P. Lucassen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcel P. Lucassen more than expected).
Fields of papers citing papers by Marcel P. Lucassen
This network shows the impact of papers produced by Marcel P. Lucassen. 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 Marcel P. Lucassen. The network helps show where Marcel P. Lucassen may publish in the future.
Co-authorship network of co-authors of Marcel P. Lucassen
This figure shows the co-authorship network connecting the top 25 collaborators of Marcel P. Lucassen. A scholar is included among the top collaborators of Marcel P. Lucassen 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 Marcel P. Lucassen. Marcel P. Lucassen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 1 | |
| 3 | The Effect of Smile and Illumination Color on Age Estimation from Faces | 1 |
| 4 | 10 | |
| 5 | 2 | |
| 6 | Adding Texture to Color: Quantitative Analysis of Color Emotions | 4 |
| 7 | 23 | |
| 8 | 25 | |
| 9 | 64 | |
| 10 | 0 | |
| 11 | 27 | |
| 12 | 2 | |
| 13 | 20 | |
| 14 | 25 | |
| 15 | 7 | |
| 16 | 3 | |
| 17 | 0 | |
| 18 | 64 | |
| 19 | 14 | |
| 20 | 46 |
About Marcel P. Lucassen
Marcel P. Lucassen is a scholar working on Cognitive Neuroscience, Sensory Systems and Social Psychology, having authored 37 papers that have together received 606 indexed citations. Recurring topics across this work include Color Science and Applications (26 papers), Visual perception and processing mechanisms (22 papers) and Color perception and design (19 papers). The work is most often cited by research in Cognitive Neuroscience (290 citations), Social Psychology (244 citations) and Computer Vision and Pattern Recognition (223 citations). Marcel P. Lucassen has collaborated with scholars based in Netherlands, Spain and Germany. Frequent co-authors include Jan Walraven, Theo Gevers, Arjan Gijsenij, Alexander Toet, Frans W. Cornelissen, Tony Vladusich, Zhongyu Lou, Ninghang Hu, Jan L. Souman and Björn N. S. Vlaskamp. Their work appears in journals such as Journal of Neurophysiology, Vision Research and PLoS Computational Biology.
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.