Jean Meloche
- Statistics and Probability top 5%
- Computer Networks and Communications
- Statistics, Probability and Uncertainty top 5%
- Health, Toxicology and Mutagenesis
- Computer Vision and Pattern Recognition
- Co-authors
- Ricardo FraimanJeffrey E. BoydGraciela BoenteY. VardiBilge KaraçalıLorraine DenbyChris ChatfieldGavin Shaddick
- Topics
- Network Traffic and Congestion Control (10 papers)Software-Defined Networks and 5G (9 papers)Statistical Methods and Inference (4 papers)
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintyHealth, Toxicology and Mutagenesis
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Jean Meloche
21 papers receiving 216 citations
Peers
Comparison fields: 5 of 63
- Statistics and Probability 82
- Computer Networks and Communications 49
- Statistics, Probability and Uncertainty 39
- Health, Toxicology and Mutagenesis 37
- Computer Vision and Pattern Recognition 36
Countries citing papers authored by Jean Meloche
This map shows the geographic impact of Jean Meloche'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 Jean Meloche with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean Meloche more than expected).
Fields of papers citing papers by Jean Meloche
This network shows the impact of papers produced by Jean Meloche. 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 Jean Meloche. The network helps show where Jean Meloche may publish in the future.
Co-authorship network of co-authors of Jean Meloche
This figure shows the co-authorship network connecting the top 25 collaborators of Jean Meloche. A scholar is included among the top collaborators of Jean Meloche 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 Jean Meloche. Jean Meloche is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 12 | |
| 3 | 0 | |
| 4 | Simple On-Demand Overlays for Reliable Real-Time Traffic in Enterprise Networks. | 1 |
| 5 | Measurement of Path Redundancy for Protection in Enterprise Networks | 1 |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 5 | |
| 9 | 24 | |
| 10 | 5 | |
| 11 | 4 | |
| 12 | 16 | |
| 13 | 37 | |
| 14 | 5 | |
| 15 | 28 | |
| 16 | 6 | |
| 17 | 31 | |
| 18 | 7 | |
| 19 | 9 | |
| 20 | 2 |
About Jean Meloche
Jean Meloche is a scholar working on Statistics and Probability, Computer Networks and Communications and Health, Toxicology and Mutagenesis, having authored 23 papers that have together received 228 indexed citations. Recurring topics across this work include Network Traffic and Congestion Control (10 papers), Software-Defined Networks and 5G (9 papers) and Statistical Methods and Inference (4 papers). The work is most often cited by research in Statistics and Probability (82 citations), Statistics, Probability and Uncertainty (39 citations) and Health, Toxicology and Mutagenesis (37 citations). Jean Meloche has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Ricardo Fraiman, Jeffrey E. Boyd, Graciela Boente, Y. Vardi, Bilge Karaçalı, Lorraine Denby, Chris Chatfield, Gavin Shaddick, James V. Zidek and Rick White. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Technometrics and Epidemiology.
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.