Marc Fossorier
- Computer Networks and Communications top 2%
- Electrical and Electronic Engineering top 10%
- Artificial Intelligence
- Molecular Biology
- Computational Theory and Mathematics
- Topics
- Coding theory and cryptography (3 papers)Cooperative Communication and Network Coding (2 papers)Error Correcting Code Techniques (2 papers)
- Cited by
- Computer Networks and CommunicationsElectrical and Electronic EngineeringArtificial Intelligence
- Journals
- IEEE Transactions on CommunicationsLecture notes in computer scienceSpringer eBooks
- Partner nations
- United StatesFranceNetherlands
In The Last Decade
Marc Fossorier
6 papers receiving 469 citations
Hit Papers
Peers
Comparison fields: 5 of 26
- Computer Networks and Communications 455
- Electrical and Electronic Engineering 424
- Artificial Intelligence 82
- Molecular Biology 39
- Computational Theory and Mathematics 28
Countries citing papers authored by Marc Fossorier
This map shows the geographic impact of Marc Fossorier'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 Marc Fossorier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Fossorier more than expected).
Fields of papers citing papers by Marc Fossorier
This network shows the impact of papers produced by Marc Fossorier. 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 Marc Fossorier. The network helps show where Marc Fossorier may publish in the future.
Co-authorship network of co-authors of Marc Fossorier
This figure shows the co-authorship network connecting the top 25 collaborators of Marc Fossorier. A scholar is included among the top collaborators of Marc Fossorier 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 Marc Fossorier. Marc Fossorier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Decoding Algorithms for Nonbinary LDPC Codes Over GF$(q)$breakdown → | 463 |
| 2 | 14 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | Applied algebra, algebraic algorithms and error-correcting codes : 13th International Symposium, AAECC-13, Honolulu, Hawaii, USA, November 15-19, 1999 : proceedings | 5 |
| 6 | Proceedings of the 15th international conference on Applied algebra, algebraic algorithms and error-correcting codes | 2 |
About Marc Fossorier
Marc Fossorier is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computational Theory and Mathematics, having authored 6 papers that have together received 487 indexed citations. Recurring topics across this work include Coding theory and cryptography (3 papers), Cooperative Communication and Network Coding (2 papers) and Error Correcting Code Techniques (2 papers). The work is most often cited by research in Computer Networks and Communications (455 citations), Electrical and Electronic Engineering (424 citations) and Artificial Intelligence (82 citations). Marc Fossorier has collaborated with scholars based in United States, France and Netherlands. Frequent co-authors include David Declercq, Shu Lin, Hideki Imai and Piotr S. Szczepaniak. Their work appears in journals such as IEEE Transactions on Communications, Lecture notes in computer science and Springer eBooks.
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.