Clément L. Canonne
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 10%
- Statistics and Probability top 10%
- Computer Networks and Communications
- Electrical and Electronic Engineering
- Co-authors
- Jayadev AcharyaTom GurHimanshu TyagiIlias DiakonikolasGautam KamathAlistair StewartZiteng SunEric Blais
- Topics
- Machine Learning and Algorithms (17 papers)Complexity and Algorithms in Graphs (10 papers)Cryptography and Data Security (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Information TheorySensors
- Partner nations
- United StatesAustraliaIndia
In The Last Decade
Clément L. Canonne
31 papers receiving 181 citations
Peers
Comparison fields: 5 of 44
- Artificial Intelligence 143
- Computational Theory and Mathematics 47
- Statistics and Probability 33
- Computer Networks and Communications 23
- Electrical and Electronic Engineering 16
Countries citing papers authored by Clément L. Canonne
This map shows the geographic impact of Clément L. Canonne'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 Clément L. Canonne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clément L. Canonne more than expected).
Fields of papers citing papers by Clément L. Canonne
This network shows the impact of papers produced by Clément L. Canonne. 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 Clément L. Canonne. The network helps show where Clément L. Canonne may publish in the future.
Co-authorship network of co-authors of Clément L. Canonne
This figure shows the co-authorship network connecting the top 25 collaborators of Clément L. Canonne. A scholar is included among the top collaborators of Clément L. Canonne 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 Clément L. Canonne. Clément L. Canonne 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 | 2 | |
| 3 | 10 | |
| 4 | 7 | |
| 5 | 9 | |
| 6 | Distributed Estimation with Multiple Samples per User: Sharp Rates and Phase Transition | 2 |
| 7 | Distributed Signal Detection under Communication Constraints | 3 |
| 8 | 14 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 7 | |
| 13 | 0 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | Sample-Optimal Density Estimation in Nearly-Linear Time | 8 |
| 17 | A Survey on Distribution Testing: Your Data is Big. But is it Blue? | 24 |
| 18 | 0 | |
| 19 | 2 | |
| 20 | 2 |
About Clément L. Canonne
Clément L. Canonne is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Statistics and Probability, having authored 35 papers that have together received 189 indexed citations. Recurring topics across this work include Machine Learning and Algorithms (17 papers), Complexity and Algorithms in Graphs (10 papers) and Cryptography and Data Security (7 papers). The work is most often cited by research in Artificial Intelligence (143 citations), Statistics and Probability (33 citations) and Computational Theory and Mathematics (47 citations). Clément L. Canonne has collaborated with scholars based in United States, Australia and India. Frequent co-authors include Jayadev Acharya, Tom Gur, Himanshu Tyagi, Ilias Diakonikolas, Gautam Kamath, Alistair Stewart, Ziteng Sun, Eric Blais, Daniel M. Kane and Thomas Steinke. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Information Theory and Sensors.
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.