Francisco Bellas
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computer Networks and Communications top 10%
- Mechanical Engineering
- Control and Systems Engineering top 10%
- Co-authors
- Richard J. DuroJ. A. BecerraAbraham PrietoAndrés FaíñaAlberto PanJuan RaposoManuel ÁlvarezFidel Cacheda
- Topics
- Reinforcement Learning in Robotics (34 papers)Evolutionary Algorithms and Applications (29 papers)AI-based Problem Solving and Planning (15 papers)
- Journals
- SHILAP Revista de lepidopterologíaSensorsInformation Sciences
- Partner nations
- SpainCosta RicaAustria
In The Last Decade
Francisco Bellas
80 papers receiving 608 citations
Peers
Comparison fields: 5 of 79
- Artificial Intelligence 326
- Information Systems 148
- Computer Networks and Communications 102
- Mechanical Engineering 92
- Control and Systems Engineering 84
Countries citing papers authored by Francisco Bellas
This map shows the geographic impact of Francisco Bellas'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 Francisco Bellas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francisco Bellas more than expected).
Fields of papers citing papers by Francisco Bellas
This network shows the impact of papers produced by Francisco Bellas. 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 Francisco Bellas. The network helps show where Francisco Bellas may publish in the future.
Co-authorship network of co-authors of Francisco Bellas
This figure shows the co-authorship network connecting the top 25 collaborators of Francisco Bellas. A scholar is included among the top collaborators of Francisco Bellas 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 Francisco Bellas. Francisco Bellas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 33 | |
| 6 | 2 | |
| 7 | 12 | |
| 8 | 9 | |
| 9 | 10 | |
| 10 | 2 | |
| 11 | 4 | |
| 12 | 7 | |
| 13 | 1 | |
| 14 | 3 | |
| 15 | Construction of a Memory Management System in an On-line Learning Mechanism | 1 |
| 16 | Some experimental results with a two level memory management system in the multilevel darwinist brain. | 2 |
| 17 | 1 | |
| 18 | Towards a Generic and Adaptable J2EE-Based Framework for Engineering Personalizable "My" Portals. | 1 |
| 19 | Using higher order synapses and nodes to improve sensing capabilities of mobile robots. | 1 |
| 20 | [The value of plasma exchange in retinal vasculitis and severe epitheliopathies]. | 2 |
About Francisco Bellas
Francisco Bellas is a scholar working on Computer Science Applications, Artificial Intelligence and Development, having authored 86 papers that have together received 665 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (34 papers), Evolutionary Algorithms and Applications (29 papers) and AI-based Problem Solving and Planning (15 papers). The work is most often cited by research in Computer Science Applications (76 citations), Artificial Intelligence (326 citations) and Information Systems (148 citations). Francisco Bellas has collaborated with scholars based in Spain, Costa Rica and Austria. Frequent co-authors include Richard J. Duro, J. A. Becerra, Abraham Prieto, Andrés Faíña, Alberto Pan, Juan Raposo, Manuel Álvarez, Fidel Cacheda, Fernando López Peña and Rodrigo Salgado. Their work appears in journals such as SHILAP Revista de lepidopterología, Sensors 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.