Olivier Barnich
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 5%
- Safety, Risk, Reliability and Quality top 2%
- Aerospace Engineering top 10%
- Electrical and Electronic Engineering
- Co-authors
- Marc Van DroogenbroeckMarc AcheroyFabian D. LapierreWilfried PhilipsJacques VerlySébastien PierardAnthony Cioppa
- Topics
- Video Surveillance and Tracking Methods (5 papers)Advanced Vision and Imaging (3 papers)Video Analysis and Summarization (3 papers)
- Cited by
- Computer Vision and Pattern RecognitionSafety, Risk, Reliability and QualityMedia Technology
In The Last Decade
Olivier Barnich
8 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Computer Vision and Pattern Recognition 1.5k
- Artificial Intelligence 251
- Safety, Risk, Reliability and Quality 223
- Aerospace Engineering 189
- Electrical and Electronic Engineering 165
Countries citing papers authored by Olivier Barnich
This map shows the geographic impact of Olivier Barnich'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 Olivier Barnich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Olivier Barnich more than expected).
Fields of papers citing papers by Olivier Barnich
This network shows the impact of papers produced by Olivier Barnich. 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 Olivier Barnich. The network helps show where Olivier Barnich may publish in the future.
Co-authorship network of co-authors of Olivier Barnich
This figure shows the co-authorship network connecting the top 25 collaborators of Olivier Barnich. A scholar is included among the top collaborators of Olivier Barnich 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 Olivier Barnich. Olivier Barnich 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 | 0 | |
| 3 | 5 | |
| 4 | ViBe: A Universal Background Subtraction Algorithm for Video Sequencesbreakdown → | 1361 |
| 5 | 4 | |
| 6 | 36 | |
| 7 | 38 | |
| 8 | 282 | |
| 9 | 2 |
About Olivier Barnich
Olivier Barnich is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Environmental Engineering, having authored 9 papers that have together received 1.7k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (5 papers), Advanced Vision and Imaging (3 papers) and Video Analysis and Summarization (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.5k citations), Safety, Risk, Reliability and Quality (223 citations) and Media Technology (150 citations). Olivier Barnich has collaborated with scholars based in Belgium and Jordan. Frequent co-authors include Marc Van Droogenbroeck, Marc Acheroy, Fabian D. Lapierre, Wilfried Philips, Jacques Verly, Sébastien Pierard and Anthony Cioppa. Their work appears in journals such as IEEE Transactions on Image Processing, Pattern Recognition Letters and EURASIP Journal on Advances in Signal Processing.
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.