Eric Blais
Impact in
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- Complexity and Algorithms in Graphs
- Signal Processing top 10%
- Data Management and Algorithms
Papers in
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- Machine Learning and Algorithms 20
- Cryptography and Data Security 8
- Algorithms and Data Compression 5
- Machine Learning and Data Classification 3
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- Complexity and Algorithms in Graphs 25
- Advanced Graph Theory Research 5
- Co-authors
- Joshua Brody (3 shared papers)Kevin Matulef (1 shared paper)Aditya Parameswaran (2 shared papers)Krzysztof Czarnecki (2 shared papers)Jianmei Guo (2 shared papers)Ronitt Rubinfeld (2 shared papers)Piotr Indyk (1 shared paper)Ryan O’Donnell (4 shared papers)
- Journals
- SIAM Journal on Computing (3 papers)Theory of Computing (2 papers)Proceedings of the VLDB Endowment (2 papers)Machine Learning (1 paper)Computational Complexity (1 paper)
- Partner nations
- CanadaUnited StatesIsrael
In The Last Decade
Eric Blais
33 papers receiving 402 citations
Peers
Comparison fields: 5 of 48
- Computational Theory and Mathematics 184
- Signal Processing 90
- Artificial Intelligence 268
- Software 28
- Computer Networks and Communications 147
Countries citing papers authored by Eric Blais
This map shows the geographic impact of Eric Blais'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 Eric Blais with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Blais more than expected).
Fields of papers citing papers by Eric Blais
This network shows the impact of papers produced by Eric Blais. 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 Eric Blais. The network helps show where Eric Blais may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Blais, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 74 | |
| 2 | 2015 | 53 | |
| 3 | 2012 | 53 | |
| 4 | 2009 | 43 | |
| 5 | 2017 | 40 | |
| 6 | 2006 | 21 | |
| 7 | 2010 | 17 | |
| 8 | 2012 | 15 | |
| 9 | 2014 | 13 | |
| 10 | 2016 | 11 | |
| 11 | 2016 | 11 | |
| 12 | 2010 | 10 | |
| 13 | 2019 | 8 | |
| 14 | 2007 | 6 | |
| 15 | 2015 | 5 | |
| 16 | 2012 | 5 | |
| 17 | 2014 | 4 | |
| 18 | 2013 | 4 | |
| 19 | 2013 | 4 | |
| 20 | Lower Bounds for Testing Properties of Functions on Hypergrid Domains. | 2013 | 3 |
About Eric Blais
Eric Blais is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 38 papers that have together received 427 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (25 papers), Machine Learning and Algorithms (20 papers), Cryptography and Data Security (8 papers), Optimization and Search Problems (5 papers), Advanced Graph Theory Research (5 papers), Algorithms and Data Compression (5 papers), Wireless Communication Security Techniques (3 papers) and Machine Learning and Data Classification (3 papers). The work is most often cited by research in Computational Theory and Mathematics (184 citations), Signal Processing (90 citations), Artificial Intelligence (268 citations), Software (28 citations) and Computer Networks and Communications (147 citations). Eric Blais has collaborated with scholars based in Canada, United States and Israel. Frequent co-authors include Joshua Brody, Kevin Matulef, Aditya Parameswaran, Krzysztof Czarnecki, Jianmei Guo, Ronitt Rubinfeld, Piotr Indyk, Ryan O’Donnell, Albert Kim and Samuel Madden. Their work appears in journals such as SIAM Journal on Computing, Theory of Computing, Proceedings of the VLDB Endowment, Machine Learning and Computational Complexity.
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.