Hans Op de Beeck
- Cognitive Neuroscience top 0.2%
- Experimental and Cognitive Psychology top 1%
- Developmental and Educational Psychology top 2%
- Computer Vision and Pattern Recognition top 2%
- Social Psychology top 2%
- Co-authors
- Johan WagemansRufin VogelsStefania BracciNancy KanwisherJessica BulthéChris I. BakerJonas KubiliusBert De Smedt
- Topics
- Face Recognition and Perception (89 papers)Visual perception and processing mechanisms (83 papers)Neural dynamics and brain function (58 papers)
- Partner nations
- BelgiumUnited StatesItaly
In The Last Decade
Hans Op de Beeck
161 papers receiving 5.2k citations
Peers
Comparison fields: 5 of 171
- Cognitive Neuroscience 4.4k
- Experimental and Cognitive Psychology 744
- Developmental and Educational Psychology 657
- Computer Vision and Pattern Recognition 616
- Social Psychology 542
Countries citing papers authored by Hans Op de Beeck
This map shows the geographic impact of Hans Op de Beeck'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 Hans Op de Beeck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hans Op de Beeck more than expected).
Fields of papers citing papers by Hans Op de Beeck
This network shows the impact of papers produced by Hans Op de Beeck. 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 Hans Op de Beeck. The network helps show where Hans Op de Beeck may publish in the future.
Co-authorship network of co-authors of Hans Op de Beeck
This figure shows the co-authorship network connecting the top 25 collaborators of Hans Op de Beeck. A scholar is included among the top collaborators of Hans Op de Beeck 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 Hans Op de Beeck. Hans Op de Beeck is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 6 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 10 | |
| 12 | 27 | |
| 13 | 1 | |
| 14 | 8 | |
| 15 | 14 | |
| 16 | 10 | |
| 17 | 186 | |
| 18 | 15 | |
| 19 | 21 | |
| 20 | Atypical objects are easier to spot | 1 |
About Hans Op de Beeck
Hans Op de Beeck is a scholar working on Cognitive Neuroscience, Statistics and Probability and Experimental and Cognitive Psychology, having authored 172 papers that have together received 5.3k indexed citations. Recurring topics across this work include Face Recognition and Perception (89 papers), Visual perception and processing mechanisms (83 papers) and Neural dynamics and brain function (58 papers). The work is most often cited by research in Cognitive Neuroscience (4.4k citations), Experimental and Cognitive Psychology (744 citations) and Statistics and Probability (465 citations). Hans Op de Beeck has collaborated with scholars based in Belgium, United States and Italy. Frequent co-authors include Johan Wagemans, Rufin Vogels, Stefania Bracci, Nancy Kanwisher, Jessica Bulthé, Chris I. Baker, Jonas Kubilius, Bert De Smedt, Nicky Daniëls and J. Brendan Ritchie. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.
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.