Pierre Kornprobst
- Computer Vision and Pattern Recognition top 0.5%
- Media Technology top 0.5%
- Computational Mechanics top 2%
- Cognitive Neuroscience top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Co-authors
- Gilles AubertSylvain ParisFrédo DurandRachid DericheJack TumblinGuillaume S. MassonThierry ViévilleMaría-José Escobar
- Topics
- Neural dynamics and brain function (32 papers)Visual perception and processing mechanisms (17 papers)Advanced Vision and Imaging (17 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyComputer Graphics and Computer-Aided Design
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Pierre Kornprobst
72 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Computer Vision and Pattern Recognition 2.3k
- Media Technology 602
- Computational Mechanics 561
- Cognitive Neuroscience 401
- Radiology, Nuclear Medicine and Imaging 293
Countries citing papers authored by Pierre Kornprobst
This map shows the geographic impact of Pierre Kornprobst'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 Pierre Kornprobst with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pierre Kornprobst more than expected).
Fields of papers citing papers by Pierre Kornprobst
This network shows the impact of papers produced by Pierre Kornprobst. 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 Pierre Kornprobst. The network helps show where Pierre Kornprobst may publish in the future.
Co-authorship network of co-authors of Pierre Kornprobst
This figure shows the co-authorship network connecting the top 25 collaborators of Pierre Kornprobst. A scholar is included among the top collaborators of Pierre Kornprobst 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 Pierre Kornprobst. Pierre Kornprobst 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 | 5 | |
| 5 | 7 | |
| 6 | 14 | |
| 7 | 26 | |
| 8 | 84 | |
| 9 | 17 | |
| 10 | 12 | |
| 11 | 4 | |
| 12 | 2 | |
| 13 | 8 | |
| 14 | Bio-inspired motion estimation { From modelling to evaluation, can biology be a source of inspiration? | 1 |
| 15 | Bilateral Filtering: Theory and Applicationsbreakdown → | 403 |
| 16 | 83 | |
| 17 | 2 | |
| 18 | Mathematical Problems in Image Processing: Partial Differential Equations and the Calculus of Variations (Applied Mathematical Sciences) | 174 |
| 19 | 3rd IEEE Latin American Robotics Symposium, LARS'06 | 3 |
| 20 | 13 |
About Pierre Kornprobst
Pierre Kornprobst is a scholar working on Cognitive Neuroscience, Biophysics and Computer Vision and Pattern Recognition, having authored 79 papers that have together received 3.3k indexed citations. Recurring topics across this work include Neural dynamics and brain function (32 papers), Visual perception and processing mechanisms (17 papers) and Advanced Vision and Imaging (17 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.3k citations), Media Technology (602 citations) and Computer Graphics and Computer-Aided Design (153 citations). Pierre Kornprobst has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Gilles Aubert, Sylvain Paris, Frédo Durand, Rachid Deriche, Jack Tumblin, Guillaume S. Masson, Thierry Viéville, María-José Escobar, Heiko Neumann and Geoffrey Portelli. Their work appears in journals such as NeuroImage, Journal of Neurophysiology and Scientific Reports.
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.