Francisco Bellas

1.6k total citations
86 papers, 665 citations indexed

About

Francisco Bellas is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Francisco Bellas has authored 86 papers receiving a total of 665 indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Artificial Intelligence, 15 papers in Computer Networks and Communications and 14 papers in Information Systems. Recurrent topics in Francisco Bellas's work include Reinforcement Learning in Robotics (34 papers), Evolutionary Algorithms and Applications (29 papers) and AI-based Problem Solving and Planning (15 papers). Francisco Bellas is often cited by papers focused on Reinforcement Learning in Robotics (34 papers), Evolutionary Algorithms and Applications (29 papers) and AI-based Problem Solving and Planning (15 papers). Francisco Bellas collaborates with scholars based in Spain, Costa Rica and Austria. Francisco Bellas's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Information Sciences.

In The Last Decade

Francisco Bellas

80 papers receiving 608 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Francisco Bellas Spain 15 326 148 102 92 84 86 665
Lisa Meeden United States 15 321 1.0× 59 0.4× 53 0.5× 152 1.7× 195 2.3× 44 754
Masoud Asadpour Iran 15 391 1.2× 157 1.1× 138 1.4× 79 0.9× 43 0.5× 61 841
Frank Klassner United States 12 163 0.5× 85 0.6× 73 0.7× 96 1.0× 102 1.2× 43 625
Selma Ayşe Özel Türkiye 15 700 2.1× 216 1.5× 64 0.6× 15 0.2× 42 0.5× 49 938
Lukas Esterle Denmark 15 210 0.6× 72 0.5× 301 3.0× 86 0.9× 43 0.5× 63 677
Jianwen Sun China 17 366 1.1× 143 1.0× 62 0.6× 24 0.3× 35 0.4× 72 777
Daniel C. Halbert Germany 5 372 1.1× 290 2.0× 128 1.3× 30 0.3× 52 0.6× 7 866
Alexander Förster Switzerland 11 164 0.5× 61 0.4× 80 0.8× 52 0.6× 97 1.2× 37 435
Vytautas Štuikys Lithuania 13 176 0.5× 156 1.1× 134 1.3× 16 0.2× 37 0.4× 69 513
J.O. Hamblen United States 13 83 0.3× 100 0.7× 62 0.6× 63 0.7× 91 1.1× 39 588

Countries citing papers authored by Francisco Bellas

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Bellas, Francisco, et al.. (2023). Robobo SmartCity: An Autonomous Driving Model for Computational Intelligence Learning Through Educational Robotics. IEEE Transactions on Learning Technologies. 16(4). 543–559. 16 indexed citations
2.
Bellas, Francisco, et al.. (2022). AI Curriculum for European High Schools: An Embedded Intelligence Approach. International Journal of Artificial Intelligence in Education. 33(2). 399–426. 33 indexed citations
3.
Piater, Justus, et al.. (2022). ANN-based Representation Learning in a Lifelong Open-ended Learning Cognitive Architecture. 2022 International Joint Conference on Neural Networks (IJCNN). 630. 1–8. 1 indexed citations
4.
Bellas, Francisco, et al.. (2021). Developing a Simulation Model for Autonomous Driving Education in the Robobo SmartCity Framework. MDPI (MDPI AG). 49–49. 2 indexed citations
5.
Bellas, Francisco, et al.. (2020). Motivation as a tool for designing lifelong learning robots. Integrated Computer-Aided Engineering. 27(4). 353–372. 12 indexed citations
6.
7.
Prieto, Abraham, et al.. (2016). Real-time optimization of dynamic problems through distributed Embodied Evolution. Integrated Computer-Aided Engineering. 23(3). 237–253. 9 indexed citations
8.
Bellas, Francisco, et al.. (2012). Experimental analysis of the relevance of fitness landscape topographical characterization. 11. 1–8. 5 indexed citations
9.
Becerra, J. A., et al.. (2011). Are evolutionary algorithm competitions characterizing landscapes appropriately. 7. 695–702. 2 indexed citations
10.
Prieto, Abraham, J. A. Becerra, Francisco Bellas, & Richard J. Duro. (2010). Open-ended evolution as a means to self-organize heterogeneous multi-robot systems in real time. Robotics and Autonomous Systems. 58(12). 1282–1291. 29 indexed citations
11.
Pan, Alberto, et al.. (2008). A Workflow Language for Web Automation. JUCS - Journal of Universal Computer Science. 14. 1838–1856. 7 indexed citations
12.
Bellas, Francisco, et al.. (2008). Application domain study of evolutionary algorithms in optimization problems. 495–502. 3 indexed citations
13.
Bellas, Francisco, J. A. Becerra, & Richard J. Duro. (2006). Construction of a Memory Management System in an On-line Learning Mechanism. The European Symposium on Artificial Neural Networks. 95–100. 1 indexed citations
14.
Bellas, Francisco, J. A. Becerra, & Richard J. Duro. (2006). Some experimental results with a two level memory management system in the multilevel darwinist brain.. The European Symposium on Artificial Neural Networks. 113–118. 2 indexed citations
15.
Bellas, Francisco, A. Lamas, & Richard J. Duro. (2006). Multilevel Darwinist Brain and Autonomously Learning to Walk. 2 indexed citations
16.
Prieto, Abraham, Francisco Bellas, Richard J. Duro, & Fernando López Peña. (2006). An Adaptive Visual Gesture Based Interface for Human Machine Interaction in Intelligent Workspaces. 43–48. 1 indexed citations
17.
Duro, Richard J., José Sántos, Francisco Bellas, & A. Lamas. (2006). On Line Darwinist Cognitive Mechanism for an Artificial Organism. 3 indexed citations
18.
Bellas, Francisco, et al.. (2003). Towards a Generic and Adaptable J2EE-Based Framework for Engineering Personalizable "My" Portals.. 789–792. 1 indexed citations
19.
Sántos, José, et al.. (2001). Considerations in the application of evolution to the generation of robot controllers. Information Sciences. 133(3-4). 127–148. 8 indexed citations
20.
Duro, Richard J., José Reyes, J. A. Becerra, Francisco Bellas, & José L. Crespo. (2000). Using higher order synapses and nodes to improve sensing capabilities of mobile robots.. The European Symposium on Artificial Neural Networks. 81–88. 1 indexed citations

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.

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