Emanuele Viola

66 papers receiving 561 citations

Peers

Emanuele Viola
Comparison fields: 5 of 39
  • Computational Theory and Mathematics 508
  • Artificial Intelligence 444
  • Computer Networks and Communications 115
  • Discrete Mathematics and Combinatorics 70
  • Electrical and Electronic Engineering 67
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Citations per field
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Citations per year

Countries citing papers authored by Emanuele Viola

Since Specialization
Citations

This map shows the geographic impact of Emanuele Viola'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 Emanuele Viola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emanuele Viola more than expected).

Fields of papers citing papers by Emanuele Viola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emanuele Viola. 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 Emanuele Viola. The network helps show where Emanuele Viola may publish in the future.

Co-authorship network of co-authors of Emanuele Viola

This figure shows the co-authorship network connecting the top 25 collaborators of Emanuele Viola. A scholar is included among the top collaborators of Emanuele Viola 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 Emanuele Viola. Emanuele Viola is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1
New lower bounds for probabilistic degree and AC0 with parity gates.
4
2
Lower bounds for data structures with space close to maximum imply circuit lower bounds.
0
3 0
4 10
5
More on bounded independence plus noise: Pseudorandom generators for read-once polynomials.
4
6
A sampling lower bound for permutations.
1
7
4
8
Bounded Indistinguishability and the Complexity of Recovering Secrets.
1
9
Some limitations of the sum of small-bias distributions.
1
10
11
11
On a special case of rigidity.
6
12
Block-symmetric polynomials correlate with parity better than symmetric.
0
13
Reducing 3XOR to listing triangles, an exposition
2
14
The Advanced Encryption Standard, Candidate Pseudorandom Functions, and Natural Proofs
2
15
8
16
Cell-Probe Lower Bounds for Prefix Sums
1
17
37
18
Selected Results in Additive Combinatorics: An Exposition.
6
19 26
20
On Parallel Pseudorandom Generators
4

About Emanuele Viola

Emanuele Viola is a scholar working on Computational Theory and Mathematics, Discrete Mathematics and Combinatorics and Artificial Intelligence, having authored 78 papers that have together received 650 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (50 papers), Cryptography and Data Security (34 papers) and Coding theory and cryptography (18 papers). The work is most often cited by research in Computational Theory and Mathematics (508 citations), Discrete Mathematics and Combinatorics (70 citations) and Artificial Intelligence (444 citations). Emanuele Viola has collaborated with scholars based in United States, Mexico and Israel. Frequent co-authors include Avi Wigderson, Andrej Bogdanov, Rocco A. Servedio, Ilias Diakonikolas, Parikshit Gopalan, Ragesh Jaiswal, Salil Vadhan, Eric Miles, Ronen Shaltiel and Jasmina Hasanhodzic. Their work appears in journals such as IEEE Transactions on Information Theory, Journal of the ACM and SIAM Journal on Computing.

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.

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