Catherine Lamy–Bergot
- Computer Vision and Pattern Recognition top 10%
- Signal Processing top 5%
- Electrical and Electronic Engineering
- Computer Networks and Communications top 10%
- Sociology and Political Science
- Co-authors
- Cyril BergeronPeter AmonMaria G. MartiniJyrki HuuskoCharly PoulliatMatteo MazzottiDavid DeclercqInbar Fijalkow
- Topics
- Video Coding and Compression Technologies (14 papers)Advanced Wireless Network Optimization (11 papers)Advanced Data Compression Techniques (9 papers)
In The Last Decade
Catherine Lamy–Bergot
27 papers receiving 216 citations
Peers
Comparison fields: 5 of 21
- Computer Vision and Pattern Recognition 133
- Signal Processing 114
- Electrical and Electronic Engineering 106
- Computer Networks and Communications 89
- Sociology and Political Science 17
Countries citing papers authored by Catherine Lamy–Bergot
This map shows the geographic impact of Catherine Lamy–Bergot'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 Lamy–Bergot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Catherine Lamy–Bergot more than expected).
Fields of papers citing papers by Catherine Lamy–Bergot
This network shows the impact of papers produced by Catherine Lamy–Bergot. 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 Lamy–Bergot. The network helps show where Catherine Lamy–Bergot may publish in the future.
Co-authorship network of co-authors of Catherine Lamy–Bergot
This figure shows the co-authorship network connecting the top 25 collaborators of Catherine Lamy–Bergot. A scholar is included among the top collaborators of Catherine Lamy–Bergot 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 Lamy–Bergot. Catherine Lamy–Bergot 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 | 5 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | System architecture for multimedia streaming optimisation | 2 |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 44 | |
| 10 | 34 | |
| 11 | Weight Updating Methods for a Dynamic Weighted Fair Queuing (WFQ) Scheduler. | 0 |
| 12 | 5 | |
| 13 | Joint optimisation of multimedia transmission over an IP wired/wireless link | 3 |
| 14 | A demonstration platform for network-aware joint optimization of wireless video transmission | 2 |
| 15 | 2 | |
| 16 | 7 | |
| 17 | 0 | |
| 18 | Controlling Joint Optimization of Wireless Video Transmission: the PHOENIX Basic Demonstration Platform | 1 |
| 19 | 18 | |
| 20 | Joint source and channel (de)coding in 11G networks: the PHOENIX project | 1 |
About Catherine Lamy–Bergot
Catherine Lamy–Bergot is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 30 papers that have together received 224 indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (14 papers), Advanced Wireless Network Optimization (11 papers) and Advanced Data Compression Techniques (9 papers). The work is most often cited by research in Signal Processing (114 citations), Computer Vision and Pattern Recognition (133 citations) and Computer Networks and Communications (89 citations). Catherine Lamy–Bergot has collaborated with scholars based in France, Italy and Germany. Frequent co-authors include Cyril Bergeron, Peter Amon, Maria G. Martini, Jyrki Huusko, Charly Poulliat, Matteo Mazzotti, David Declercq, Inbar Fijalkow, Johannes Peltola and R. Fracchia. Their work appears in journals such as IEEE Communications Magazine, IEEE Communications Letters and Multimedia Tools and Applications.
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.