Alfredo Viola
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 10%
- Computer Networks and Communications top 10%
- Mathematical Physics top 10%
- Discrete Mathematics and Combinatorics top 10%
- Co-authors
- P. PobletePhilippe FlajoletDaniel PanarioGastón H. GonnetAndrej BrodnikAlejandro López-OrtízVenkatesh RamanAlberto Pardo
- Topics
- Algorithms and Data Compression (18 papers)Data Management and Algorithms (7 papers)Advanced Image and Video Retrieval Techniques (6 papers)
In The Last Decade
Alfredo Viola
26 papers receiving 250 citations
Peers
Comparison fields: 5 of 55
- Artificial Intelligence 145
- Computational Theory and Mathematics 68
- Computer Networks and Communications 65
- Mathematical Physics 56
- Discrete Mathematics and Combinatorics 53
Countries citing papers authored by Alfredo Viola
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
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-authorship network of co-authors of Alfredo Viola
This figure shows the co-authorship network connecting the top 25 collaborators of Alfredo Viola. A scholar is included among the top collaborators of Alfredo 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 Alfredo Viola. Alfredo Viola 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 | 13 | |
| 4 | 3 | |
| 5 | 21 | |
| 6 | Space-Efficient Data Structures, Streams, and Algorithms Papers in Honor of J. Ian Munro, on the Occasion of His 66th Birthday | 14 |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 7 | |
| 10 | 3 | |
| 11 | 9 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 9 | |
| 15 | 2 | |
| 16 | 6 | |
| 17 | LATIN 2000: Theoretical Informatics: 4th Latin American Symposium, Punta del Este, Uruguay, April 10-14, 2000 Proceedings | 2 |
| 18 | 6 | |
| 19 | 3 | |
| 20 | Analysis of hashing algorithms and a new mathematical transform | 7 |
About Alfredo Viola
Alfredo Viola is a scholar working on Discrete Mathematics and Combinatorics, Artificial Intelligence and Signal Processing, 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) and Advanced Image and Video Retrieval Techniques (6 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (53 citations), Computer Graphics and Computer-Aided Design (25 citations) and Mathematical Physics (56 citations). Alfredo Viola has collaborated with scholars based in Uruguay, France and Chile. Frequent co-authors include P. Poblete, Philippe Flajolet, Daniel Panario, Gastón H. Gonnet, Andrej Brodnik, Alejandro López-Ortíz, Venkatesh Raman, Alberto Pardo, Daniel Panario and Luc Devroye. Their work appears in journals such as IEEE Transactions on Information Theory, Communications 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.