Renato Tinós
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 2%
- Control and Systems Engineering top 5%
- Industrial and Manufacturing Engineering top 5%
- Biomedical Engineering
- Co-authors
- Shengxiang YangMarco H. TerraDarrell WhitleyFrancisco ChicanoGabriela OchoaMarcel BergermanJoão Y. IshiharaLiang Zhao
- Topics
- Metaheuristic Optimization Algorithms Research (33 papers)Evolutionary Algorithms and Applications (25 papers)Advanced Multi-Objective Optimization Algorithms (22 papers)
- Journals
- SHILAP Revista de lepidopterologíaBMC BioinformaticsInformation Sciences
- Partner nations
- BrazilUnited StatesUnited Kingdom
In The Last Decade
Renato Tinós
84 papers receiving 850 citations
Peers
Comparison fields: 5 of 113
- Artificial Intelligence 456
- Computational Theory and Mathematics 245
- Control and Systems Engineering 224
- Industrial and Manufacturing Engineering 95
- Biomedical Engineering 85
Countries citing papers authored by Renato Tinós
This map shows the geographic impact of Renato Tinós'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 Renato Tinós with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Renato Tinós more than expected).
Fields of papers citing papers by Renato Tinós
This network shows the impact of papers produced by Renato Tinós. 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 Renato Tinós. The network helps show where Renato Tinós may publish in the future.
Co-authorship network of co-authors of Renato Tinós
This figure shows the co-authorship network connecting the top 25 collaborators of Renato Tinós. A scholar is included among the top collaborators of Renato Tinós 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 Renato Tinós. Renato Tinós 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 | 1 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 12 | |
| 6 | 0 | |
| 7 | 10 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 25 | |
| 11 | 15 | |
| 12 | 24 | |
| 13 | 2 | |
| 14 | 1 | |
| 15 | 33 | |
| 16 | Medical multivariate signal reconstruction using recurrent neural network | 1 |
| 17 | Reconstruction of multivariate signals using q-Gaussian radial basis function Network | 2 |
| 18 | 4 | |
| 19 | 1 | |
| 20 | 12 |
About Renato Tinós
Renato Tinós is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Control and Systems Engineering, having authored 92 papers that have together received 892 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (33 papers), Evolutionary Algorithms and Applications (25 papers) and Advanced Multi-Objective Optimization Algorithms (22 papers). The work is most often cited by research in Computational Theory and Mathematics (245 citations), Artificial Intelligence (456 citations) and Control and Systems Engineering (224 citations). Renato Tinós has collaborated with scholars based in Brazil, United States and United Kingdom. Frequent co-authors include Shengxiang Yang, Marco H. Terra, Darrell Whitley, Francisco Chicano, Gabriela Ochoa, Marcel Bergerman, João Y. Ishihara, Liang Zhao, Danilo Sipoli Sanches and Alex A. Freitas. Their work appears in journals such as SHILAP Revista de lepidopterología, BMC Bioinformatics and Information Sciences.
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.