Louise Kauffmann
- Cognitive Neuroscience top 5%
- Computer Vision and Pattern Recognition top 10%
- Experimental and Cognitive Psychology top 10%
- Radiology, Nuclear Medicine and Imaging
- Ophthalmology top 10%
- Co-authors
- Carole PeyrinNathalie GuyaderAlan ChauvinStephen RamanoëlCédric PichatMonica BaciuAlexandre KrainikAssia Jaillard
- Topics
- Visual perception and processing mechanisms (22 papers)Face Recognition and Perception (17 papers)Neural dynamics and brain function (13 papers)
- Partner nations
- FranceGermanyUnited States
In The Last Decade
Louise Kauffmann
35 papers receiving 596 citations
Peers
Comparison fields: 5 of 85
- Cognitive Neuroscience 484
- Computer Vision and Pattern Recognition 83
- Experimental and Cognitive Psychology 76
- Radiology, Nuclear Medicine and Imaging 53
- Ophthalmology 35
Countries citing papers authored by Louise Kauffmann
This map shows the geographic impact of Louise Kauffmann'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 Louise Kauffmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Louise Kauffmann more than expected).
Fields of papers citing papers by Louise Kauffmann
This network shows the impact of papers produced by Louise Kauffmann. 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 Louise Kauffmann. The network helps show where Louise Kauffmann may publish in the future.
Co-authorship network of co-authors of Louise Kauffmann
This figure shows the co-authorship network connecting the top 25 collaborators of Louise Kauffmann. A scholar is included among the top collaborators of Louise Kauffmann 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 Louise Kauffmann. Louise Kauffmann 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 | 0 | |
| 3 | 3 | |
| 4 | 5 | |
| 5 | 8 | |
| 6 | 10 | |
| 7 | 2 | |
| 8 | 8 | |
| 9 | 11 | |
| 10 | 18 | |
| 11 | 18 | |
| 12 | 12 | |
| 13 | 11 | |
| 14 | 4 | |
| 15 | 5 | |
| 16 | 19 | |
| 17 | 47 | |
| 18 | 27 | |
| 19 | 34 | |
| 20 | 143 |
About Louise Kauffmann
Louise Kauffmann is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Computer Vision and Pattern Recognition, having authored 36 papers that have together received 600 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (22 papers), Face Recognition and Perception (17 papers) and Neural dynamics and brain function (13 papers). The work is most often cited by research in Cognitive Neuroscience (484 citations), Experimental and Cognitive Psychology (76 citations) and Sensory Systems (25 citations). Louise Kauffmann has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Carole Peyrin, Nathalie Guyader, Alan Chauvin, Stephen Ramanoël, Cédric Pichat, Monica Baciu, Alexandre Krainik, Assia Jaillard, Naïla Boudiaf and Félix Renard. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and NeuroImage.
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.