Vitorino Ramos
- Artificial Intelligence
- Computational Theory and Mathematics
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Control and Systems Engineering
- Co-authors
- Ajith AbrahamCarlos M. FernandesCrina GroşanAlessandro Pasquale De RosaAntonio M. MoraSang Yong HanJ. J. MereloLuís A. Aires-Barros
- Topics
- Metaheuristic Optimization Algorithms Research (5 papers)Neural Networks and Applications (4 papers)Evolutionary Algorithms and Applications (4 papers)
- Journals
- Artificial LifeSpringer eBooksRestoration of Buildings and Monuments
- Partner nations
- PortugalSpainSouth Korea
In The Last Decade
Vitorino Ramos
8 papers receiving 88 citations
Peers
Comparison fields: 5 of 51
- Artificial Intelligence 65
- Computational Theory and Mathematics 21
- Computer Networks and Communications 14
- Computer Vision and Pattern Recognition 11
- Control and Systems Engineering 10
Countries citing papers authored by Vitorino Ramos
This map shows the geographic impact of Vitorino Ramos'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 Vitorino Ramos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vitorino Ramos more than expected).
Fields of papers citing papers by Vitorino Ramos
This network shows the impact of papers produced by Vitorino Ramos. 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 Vitorino Ramos. The network helps show where Vitorino Ramos may publish in the future.
Co-authorship network of co-authors of Vitorino Ramos
This figure shows the co-authorship network connecting the top 25 collaborators of Vitorino Ramos. A scholar is included among the top collaborators of Vitorino Ramos 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 Vitorino Ramos. Vitorino Ramos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | KohonAnts: A Self-Organizing Ant Algorithm for Clustering and Pattern Classification | 11 |
| 2 | 9 | |
| 3 | 6 | |
| 4 | 13 | |
| 5 | 27 | |
| 6 | 10 | |
| 7 | 13 | |
| 8 | Social Cognitive Maps, Swarm Collective Perception and Distributed Search on Dynamic Landscapes | 12 |
| 9 | 1 |
About Vitorino Ramos
Vitorino Ramos is a scholar working on Artificial Intelligence, Earth-Surface Processes and Computational Theory and Mathematics, having authored 9 papers that have together received 102 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (5 papers), Neural Networks and Applications (4 papers) and Evolutionary Algorithms and Applications (4 papers). The work is most often cited by research in Artificial Intelligence (65 citations), Computational Theory and Mathematics (21 citations) and Signal Processing (8 citations). Vitorino Ramos has collaborated with scholars based in Portugal, Spain and South Korea. Frequent co-authors include Ajith Abraham, Carlos M. Fernandes, Crina Groşan, Alessandro Pasquale De Rosa, Antonio M. Mora, Sang Yong Han, J. J. Merelo, Luís A. Aires-Barros and Pedro Pina. Their work appears in journals such as Artificial Life, Springer eBooks and Restoration of Buildings and Monuments.
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.