Andrea van Doorn
- Cognitive Neuroscience top 5%
- Social Psychology top 5%
- Atomic and Molecular Physics, and Optics
- Experimental and Cognitive Psychology top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Jan J. KoenderinkJohan WagemansKarl R. GegenfurtnerBaingio PinnaHeiko HechtSylvia C. PontLiliana AlbertazziMatteo Valsecchi
- Topics
- Visual perception and processing mechanisms (36 papers)Aesthetic Perception and Analysis (26 papers)Color perception and design (14 papers)
- Journals
- SHILAP Revista de lepidopterologíaCognitionVision Research
- Partner nations
- NetherlandsBelgiumGermany
In The Last Decade
Andrea van Doorn
54 papers receiving 475 citations
Peers
Comparison fields: 5 of 82
- Cognitive Neuroscience 369
- Social Psychology 196
- Atomic and Molecular Physics, and Optics 115
- Experimental and Cognitive Psychology 103
- Computer Vision and Pattern Recognition 80
Countries citing papers authored by Andrea van Doorn
This map shows the geographic impact of Andrea van Doorn'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 Andrea van Doorn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrea van Doorn more than expected).
Fields of papers citing papers by Andrea van Doorn
This network shows the impact of papers produced by Andrea van Doorn. 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 Andrea van Doorn. The network helps show where Andrea van Doorn may publish in the future.
Co-authorship network of co-authors of Andrea van Doorn
This figure shows the co-authorship network connecting the top 25 collaborators of Andrea van Doorn. A scholar is included among the top collaborators of Andrea van Doorn 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 Andrea van Doorn. Andrea van Doorn 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 | 8 | |
| 3 | 11 | |
| 4 | 6 | |
| 5 | 25 | |
| 6 | 11 | |
| 7 | 18 | |
| 8 | 13 | |
| 9 | 6 | |
| 10 | 6 | |
| 11 | 2 | |
| 12 | 13 | |
| 13 | 16 | |
| 14 | 5 | |
| 15 | 10 | |
| 16 | 6 | |
| 17 | 5 | |
| 18 | 33 | |
| 19 | 11 | |
| 20 | 42 |
About Andrea van Doorn
Andrea van Doorn is a scholar working on Cognitive Neuroscience, Computer Graphics and Computer-Aided Design and Visual Arts and Performing Arts, having authored 60 papers that have together received 490 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (36 papers), Aesthetic Perception and Analysis (26 papers) and Color perception and design (14 papers). The work is most often cited by research in Cognitive Neuroscience (369 citations), Social Psychology (196 citations) and Experimental and Cognitive Psychology (103 citations). Andrea van Doorn has collaborated with scholars based in Netherlands, Belgium and Germany. Frequent co-authors include Jan J. Koenderink, Johan Wagemans, Karl R. Gegenfurtner, Baingio Pinna, Heiko Hecht, Sylvia C. Pont, Liliana Albertazzi, Matteo Valsecchi, Whitman Richards and Maarten Wijntjes. Their work appears in journals such as SHILAP Revista de lepidopterología, Cognition and Vision Research.
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.