Iris I. A. Groen
- Cognitive Neuroscience top 2%
- Computer Vision and Pattern Recognition top 5%
- Experimental and Cognitive Psychology top 10%
- Social Psychology
- Cellular and Molecular Neuroscience
- Co-authors
- Chris I. BakerEdward H. SilsonH. Steven ScholteS. GhebreabVictor A. F. LammeGeorge L. MalcolmDwight J. KravitzLi Fei-Fei
- Topics
- Visual perception and processing mechanisms (25 papers)Face Recognition and Perception (16 papers)Neural dynamics and brain function (15 papers)
- Partner nations
- NetherlandsUnited StatesUnited Kingdom
In The Last Decade
Iris I. A. Groen
32 papers receiving 917 citations
Peers
Comparison fields: 5 of 80
- Cognitive Neuroscience 782
- Computer Vision and Pattern Recognition 278
- Experimental and Cognitive Psychology 85
- Social Psychology 70
- Cellular and Molecular Neuroscience 50
Countries citing papers authored by Iris I. A. Groen
This map shows the geographic impact of Iris I. A. Groen'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 Iris I. A. Groen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iris I. A. Groen more than expected).
Fields of papers citing papers by Iris I. A. Groen
This network shows the impact of papers produced by Iris I. A. Groen. 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 Iris I. A. Groen. The network helps show where Iris I. A. Groen may publish in the future.
Co-authorship network of co-authors of Iris I. A. Groen
This figure shows the co-authorship network connecting the top 25 collaborators of Iris I. A. Groen. A scholar is included among the top collaborators of Iris I. A. Groen 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 Iris I. A. Groen. Iris I. A. Groen 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 | 4 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 24 | |
| 7 | 10 | |
| 8 | 5 | |
| 9 | 35 | |
| 10 | 22 | |
| 11 | 45 | |
| 12 | 122 | |
| 13 | 45 | |
| 14 | 100 | |
| 15 | 1 | |
| 16 | 2 | |
| 17 | 50 | |
| 18 | Low-Level Edge Statistics Predict Invariance of Natural Textures | 1 |
| 19 | 20 | |
| 20 | 3 |
About Iris I. A. Groen
Iris I. A. Groen is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Biophysics, having authored 34 papers that have together received 924 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (25 papers), Face Recognition and Perception (16 papers) and Neural dynamics and brain function (15 papers). The work is most often cited by research in Cognitive Neuroscience (782 citations), Computer Vision and Pattern Recognition (278 citations) and Sensory Systems (45 citations). Iris I. A. Groen has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Chris I. Baker, Edward H. Silson, H. Steven Scholte, S. Ghebreab, Victor A. F. Lamme, George L. Malcolm, Dwight J. Kravitz, Li Fei-Fei, Christopher Baldassano and Michelle R. Greene. Their work appears in journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Neuroscience.
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.