Eric Blais
Impact in
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- Complexity and Algorithms in Graphs
- Advanced Graph Theory Research
- Artificial Intelligence top 5%
- Machine Learning and Algorithms
- Cryptography and Data Security
Papers in
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- Machine Learning and Algorithms 28
- Cryptography and Data Security 9
- Algorithms and Data Compression 6
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- Complexity and Algorithms in Graphs 33
- Advanced Graph Theory Research 5
- Co-authors
- Joshua Brody (3 shared papers)Kevin Matulef (1 shared paper)Aditya Parameswaran (2 shared papers)Jianmei Guo (3 shared papers)Krzysztof Czarnecki (3 shared papers)Ryan O’Donnell (5 shared papers)Ronitt Rubinfeld (2 shared papers)Piotr Indyk (1 shared paper)
- Journals
- SIAM Journal on Computing (3 papers)Theory of Computing (2 papers)Proceedings of the VLDB Endowment (2 papers)Lecture notes in computer science (9 papers)Journal of the ACM (1 paper)
- Partner nations
- CanadaUnited StatesIsrael
In The Last Decade
Eric Blais
44 papers receiving 545 citations
Peers
Comparison fields: 5 of 48
- Computational Theory and Mathematics 309
- Artificial Intelligence 393
- Software 35
- Signal Processing 92
- Computer Networks and Communications 190
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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 77 | |
| 2 | 2012 | 64 | |
| 3 | 2009 | 63 | |
| 4 | 2015 | 59 | |
| 5 | 2017 | 41 | |
| 6 | 2008 | 28 | |
| 7 | 2012 | 23 | |
| 8 | 2006 | 22 | |
| 9 | 2010 | 21 | |
| 10 | 2014 | 16 | |
| 11 | 2010 | 14 | |
| 12 | 2016 | 14 | |
| 13 | 2012 | 12 | |
| 14 | 2010 | 11 | |
| 15 | 2016 | 11 | |
| 16 | 2019 | 9 | |
| 17 | 2007 | 9 | |
| 18 | 2012 | 9 | |
| 19 | 2015 | 8 | |
| 20 | 2010 | 8 |
About Eric Blais
Eric Blais is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Molecular Biology and Computer Vision and Pattern Recognition, having authored 49 papers that have together received 581 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (33 papers), Machine Learning and Algorithms (28 papers), Cryptography and Data Security (9 papers), Optimization and Search Problems (9 papers), Algorithms and Data Compression (6 papers), Advanced Graph Theory Research (5 papers), Genomics and Phylogenetic Studies (4 papers) and Genome Rearrangement Algorithms (3 papers). The work is most often cited by research in Computational Theory and Mathematics (309 citations), Artificial Intelligence (393 citations), Software (35 citations), Signal Processing (92 citations) and Computer Networks and Communications (190 citations). Eric Blais has collaborated with scholars based in Canada, United States and Israel. Frequent co-authors include Joshua Brody, Kevin Matulef, Aditya Parameswaran, Jianmei Guo, Krzysztof Czarnecki, Ryan O’Donnell, Ronitt Rubinfeld, Piotr Indyk, Samuel Madden and Albert Kim. Their work appears in journals such as SIAM Journal on Computing, Theory of Computing, Proceedings of the VLDB Endowment, Lecture notes in computer science and Journal of the ACM.
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.