Alberto Rivas
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 5%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Computer Science Applications top 5%
- Co-authors
- Sheila A. McIlraithPablo ChamosoAlfonso González‐BrionesJuan M. CorchadoChristian MuiseJorge A. BaierRichard ValenzanoToryn Q. Klassen
- Topics
- Formal Methods in Verification (11 papers)AI-based Problem Solving and Planning (7 papers)Logic, Reasoning, and Knowledge (5 papers)
In The Last Decade
Alberto Rivas
25 papers receiving 527 citations
Peers
Comparison fields: 5 of 84
- Artificial Intelligence 289
- Computational Theory and Mathematics 143
- Computer Vision and Pattern Recognition 95
- Information Systems 86
- Computer Science Applications 65
Countries citing papers authored by Alberto Rivas
This map shows the geographic impact of Alberto Rivas'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 Alberto Rivas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alberto Rivas more than expected).
Fields of papers citing papers by Alberto Rivas
This network shows the impact of papers produced by Alberto Rivas. 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 Alberto Rivas. The network helps show where Alberto Rivas may publish in the future.
Co-authorship network of co-authors of Alberto Rivas
This figure shows the co-authorship network connecting the top 25 collaborators of Alberto Rivas. A scholar is included among the top collaborators of Alberto Rivas 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 Alberto Rivas. Alberto Rivas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 8 | |
| 5 | 75 | |
| 6 | 76 | |
| 7 | 10 | |
| 8 | 15 | |
| 9 | 30 | |
| 10 | 11 | |
| 11 | 8 | |
| 12 | 8 | |
| 13 | 103 | |
| 14 | 45 | |
| 15 | 3 | |
| 16 | Strong-Cyclic Planning when Fairness is Not a Valid Assumption. | 6 |
| 17 | Non-Deterministic Planning with Temporally Extended Goals: Completing the Story for Finite and Infinite LTL (Amended Version). | 2 |
| 18 | 14 | |
| 19 | Análisis sociocultural de la noción de variabilidad | 0 |
| 20 | Manual de Turbo Pascal para las enseñanzas medias | 0 |
About Alberto Rivas
Alberto Rivas is a scholar working on Software, Computational Theory and Mathematics and Computer Science Applications, having authored 28 papers that have together received 551 indexed citations. Recurring topics across this work include Formal Methods in Verification (11 papers), AI-based Problem Solving and Planning (7 papers) and Logic, Reasoning, and Knowledge (5 papers). The work is most often cited by research in Software (52 citations), Computer Science Applications (65 citations) and Artificial Intelligence (289 citations). Alberto Rivas has collaborated with scholars based in Canada, Spain and Chile. Frequent co-authors include Sheila A. McIlraith, Pablo Chamoso, Alfonso González‐Briones, Juan M. Corchado, Christian Muise, Jorge A. Baier, Richard Valenzano, Toryn Q. Klassen, Javier Prieto and Guillermo Hernández. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Sensors.
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.