Alfredo Viola

26 papers receiving 250 citations

Peers

Alfredo Viola
Comparison fields: 5 of 55
  • Discrete Mathematics and Combinatorics 53
  • Computer Graphics and Computer-Aided Design 25
  • Mathematical Physics 56
  • Signal Processing 51
  • Artificial Intelligence 145
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Conrado Martı́nez Spain
Tsung‐Hsi Tsai Taiwan
Mireille Régnier France
Vincent Vajnovszki France
Alexander V. Karzanov Russia
Omer Giménez Spain
Philippe Chassaing France
Nicolas Bonichon France
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Citations per field
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Citations per year

Countries citing papers authored by Alfredo Viola

Since Specialization
Citations

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

Fields of papers citing papers by Alfredo Viola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Alfredo Viola, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Alfredo Viola Line = papers co-authored together Alfredo Viola links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199889
2
Proceedings of the 4th Latin American Symposium on Theoretical Informatics
200038
3 201321
4
Space-Efficient Data Structures, Streams, and Algorithms Papers in Honor of J. Ian Munro, on the Occasion of His 66th Birthday
201314
5 201413
6 200513
7 20049
8 20109
9 20107
10
Analysis of hashing algorithms and a new mathematical transform
19967
11 20006
12 19986
13 20206
14 20133
15 20103
16 19973
17 20123
18 20103
19 20012
20 20162

About Alfredo Viola

Alfredo Viola is a scholar working on Artificial Intelligence, Computer Networks and Communications, Signal Processing, Computer Vision and Pattern Recognition and Discrete Mathematics and Combinatorics, having authored 28 papers that have together received 265 indexed citations. Recurring topics across this work include Algorithms and Data Compression (18 papers), Data Management and Algorithms (7 papers), Advanced Image and Video Retrieval Techniques (6 papers), Advanced Combinatorial Mathematics (5 papers), Coding theory and cryptography (4 papers), DNA and Biological Computing (4 papers), Optimization and Search Problems (3 papers) and Advanced Database Systems and Queries (3 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (53 citations), Computer Graphics and Computer-Aided Design (25 citations), Mathematical Physics (56 citations), Signal Processing (51 citations) and Artificial Intelligence (145 citations). Alfredo Viola has collaborated with scholars based in Uruguay, France and Canada. Frequent co-authors include P. Poblete, Philippe Flajolet, Gastón H. Gonnet, Daniel Panario, Andrej Brodnik, Alejandro López-Ortíz, Venkatesh Raman, Alberto Pardo, Daniel Panario and Conrado Martı́nez. Their work appears in journals such as Random Structures and Algorithms, Algorithmica, Discrete Mathematics & Theoretical Computer Science, ACM Transactions on Algorithms and IEEE Transactions on Information Theory.

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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