Catherine Berrut
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Signal Processing top 10%
- Sociology and Political Science
- Co-authors
- Mohand BoughanemAlan F. SmeatonNoel E. O’ConnorSeán MarlowNoel MurphyPhilippe MulhemYahya SlimaniYves Chiaramella
- Topics
- Semantic Web and Ontologies (7 papers)Natural Language Processing Techniques (4 papers)Image Retrieval and Classification Techniques (3 papers)
In The Last Decade
Catherine Berrut
16 papers receiving 179 citations
Peers
Comparison fields: 5 of 41
- Artificial Intelligence 103
- Computer Vision and Pattern Recognition 82
- Information Systems 70
- Signal Processing 56
- Sociology and Political Science 21
Countries citing papers authored by Catherine Berrut
This map shows the geographic impact of Catherine Berrut'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 Catherine Berrut with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Catherine Berrut more than expected).
Fields of papers citing papers by Catherine Berrut
This network shows the impact of papers produced by Catherine Berrut. 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 Catherine Berrut. The network helps show where Catherine Berrut may publish in the future.
Co-authorship network of co-authors of Catherine Berrut
This figure shows the co-authorship network connecting the top 25 collaborators of Catherine Berrut. A scholar is included among the top collaborators of Catherine Berrut 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 Catherine Berrut. Catherine Berrut is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 16 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 5 | |
| 8 | Proceedings of the 31th European Conference on IR Research on Advances in Information Retrieval | 10 |
| 9 | 51 | |
| 10 | Evaluating and combining digital video shot boundary detection algorithms | 59 |
| 11 | 5 | |
| 12 | 1 | |
| 13 | Representation of images for multimedia databases. A preliminary study | 4 |
| 14 | 20 | |
| 15 | 7 | |
| 16 | 10 |
About Catherine Berrut
Catherine Berrut is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 16 papers that have together received 205 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (7 papers), Natural Language Processing Techniques (4 papers) and Image Retrieval and Classification Techniques (3 papers). The work is most often cited by research in Signal Processing (56 citations), Computer Vision and Pattern Recognition (82 citations) and Artificial Intelligence (103 citations). Catherine Berrut has collaborated with scholars based in France, Italy and Germany. Frequent co-authors include Mohand Boughanem, Alan F. Smeaton, Noel E. O’Connor, Seán Marlow, Noel Murphy, Philippe Mulhem, Yahya Slimani, Yves Chiaramella, Josiane Mothe and Jean–Pierre Chevallet. Their work appears in journals such as Applied and Environmental Microbiology, ACM Computing Surveys and Information Processing & Management.
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.