Eduardo Sany Laber
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Computational Theory and Mathematics top 5%
- Information Systems top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- Ferdinando CicaleseArtur Alves PessoaRuy Luiz MilidiúMarco MolinaroYoshiharu KohayakawaHélio LopesRina PanigrahyDilys Thomas
- Topics
- Algorithms and Data Compression (24 papers)Optimization and Search Problems (15 papers)Complexity and Algorithms in Graphs (14 papers)
- Cited by
- Artificial IntelligenceComputer Networks and CommunicationsComputational Theory and Mathematics
- Partner nations
- BrazilItalyUnited States
In The Last Decade
Eduardo Sany Laber
57 papers receiving 298 citations
Peers
Comparison fields: 5 of 77
- Artificial Intelligence 193
- Computer Networks and Communications 127
- Computational Theory and Mathematics 88
- Information Systems 53
- Computer Vision and Pattern Recognition 34
Countries citing papers authored by Eduardo Sany Laber
This map shows the geographic impact of Eduardo Sany Laber'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 Eduardo Sany Laber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eduardo Sany Laber more than expected).
Fields of papers citing papers by Eduardo Sany Laber
This network shows the impact of papers produced by Eduardo Sany Laber. 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 Eduardo Sany Laber. The network helps show where Eduardo Sany Laber may publish in the future.
Co-authorship network of co-authors of Eduardo Sany Laber
This figure shows the co-authorship network connecting the top 25 collaborators of Eduardo Sany Laber. A scholar is included among the top collaborators of Eduardo Sany Laber 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 Eduardo Sany Laber. Eduardo Sany Laber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | New results on information theoretic clustering | 2 |
| 7 | Binary Partitions with Approximate Minimum Impurity | 10 |
| 8 | 6 | |
| 9 | 17 | |
| 10 | 2 | |
| 11 | Diagnosis determination: decision trees optimizing simultaneously worst and expected testing cost | 7 |
| 12 | 2 | |
| 13 | 7 | |
| 14 | 10 | |
| 15 | 3 | |
| 16 | 2 | |
| 17 | 12 | |
| 18 | 2 | |
| 19 | 1 | |
| 20 | 6 |
About Eduardo Sany Laber
Eduardo Sany Laber is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Computer Networks and Communications, having authored 62 papers that have together received 317 indexed citations. Recurring topics across this work include Algorithms and Data Compression (24 papers), Optimization and Search Problems (15 papers) and Complexity and Algorithms in Graphs (14 papers). The work is most often cited by research in Artificial Intelligence (193 citations), Computer Networks and Communications (127 citations) and Computational Theory and Mathematics (88 citations). Eduardo Sany Laber has collaborated with scholars based in Brazil, Italy and United States. Frequent co-authors include Ferdinando Cicalese, Artur Alves Pessoa, Ruy Luiz Milidiú, Marco Molinaro, Yoshiharu Kohayakawa, Hélio Lopes, Rina Panigrahy, Dilys Thomas, Liadan O'Callaghan and Ori Gerstel. Their work appears in journals such as IEEE Transactions on Information Theory, Expert Systems with Applications and Pattern Recognition.
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.