Jérôme Berclaz
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 2%
- Aerospace Engineering top 5%
- Electrical and Electronic Engineering
- Biomedical Engineering
- Co-authors
- François FleuretPascal FuaEngin TüretkenR. LengagneHoresh Ben ShitritMiki SatoAkihiko SugiyamaRadek Grzeszczuk
- Topics
- Video Surveillance and Tracking Methods (9 papers)Human Pose and Action Recognition (6 papers)Advanced Vision and Imaging (4 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceViewInfoscience (Ecole Polytechnique Fédérale de Lausanne)
- Partner nations
- SwitzerlandUnited StatesItaly
In The Last Decade
Jérôme Berclaz
15 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Computer Vision and Pattern Recognition 1.6k
- Artificial Intelligence 524
- Aerospace Engineering 262
- Electrical and Electronic Engineering 223
- Biomedical Engineering 131
Countries citing papers authored by Jérôme Berclaz
This map shows the geographic impact of Jérôme Berclaz'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 Jérôme Berclaz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jérôme Berclaz more than expected).
Fields of papers citing papers by Jérôme Berclaz
This network shows the impact of papers produced by Jérôme Berclaz. 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 Jérôme Berclaz. The network helps show where Jérôme Berclaz may publish in the future.
Co-authorship network of co-authors of Jérôme Berclaz
This figure shows the co-authorship network connecting the top 25 collaborators of Jérôme Berclaz. A scholar is included among the top collaborators of Jérôme Berclaz 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 Jérôme Berclaz. Jérôme Berclaz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 126 | |
| 3 | 17 | |
| 4 | 151 | |
| 5 | Multiple Object Tracking Using K-Shortest Paths Optimizationbreakdown → | 673 |
| 6 | 6 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | Evaluation of probabilistic occupancy map people detection for surveillance systems | 14 |
| 10 | 81 | |
| 11 | 16 | |
| 12 | Multicamera People Tracking with a Probabilistic Occupancy Mapbreakdown → | 549 |
| 13 | 7 | |
| 14 | 141 | |
| 15 | 11 |
About Jérôme Berclaz
Jérôme Berclaz is a scholar working on Computer Vision and Pattern Recognition, Geology and Artificial Intelligence, having authored 15 papers that have together received 1.8k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (9 papers), Human Pose and Action Recognition (6 papers) and Advanced Vision and Imaging (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.6k citations), Artificial Intelligence (524 citations) and Aerospace Engineering (262 citations). Jérôme Berclaz has collaborated with scholars based in Switzerland, United States and Italy. Frequent co-authors include François Fleuret, Pascal Fua, Engin Türetken, R. Lengagne, Horesh Ben Shitrit, Miki Sato, Akihiko Sugiyama, Radek Grzeszczuk, Timo Pylvänäinen and Mridul Aanjaneya. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, View and Infoscience (Ecole Polytechnique Fédérale de Lausanne).
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.