Fernando Díaz-del-Río

582 total citations
42 papers, 347 citations indexed

About

Fernando Díaz-del-Río is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Control and Systems Engineering. According to data from OpenAlex, Fernando Díaz-del-Río has authored 42 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 15 papers in Computer Networks and Communications and 9 papers in Control and Systems Engineering. Recurrent topics in Fernando Díaz-del-Río's work include Robotic Path Planning Algorithms (7 papers), Advanced Data Storage Technologies (5 papers) and Control and Dynamics of Mobile Robots (5 papers). Fernando Díaz-del-Río is often cited by papers focused on Robotic Path Planning Algorithms (7 papers), Advanced Data Storage Technologies (5 papers) and Control and Dynamics of Mobile Robots (5 papers). Fernando Díaz-del-Río collaborates with scholars based in Spain, Austria and Netherlands. Fernando Díaz-del-Río's co-authors include Daniel Cagigas-Muñiz, Saturnino Vicente-Díaz, José Luis Sevillano, A Balcells, Alejandro Linares-Barranco, G. Jiménez, Pedro Real, Francisco J. Morales, M. J. Morón and F. Gómez-Rodríguez and has published in prestigious journals such as Sensors, Information Sciences and Computer.

In The Last Decade

Fernando Díaz-del-Río

36 papers receiving 325 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fernando Díaz-del-Río Spain 10 122 107 85 72 41 42 347
Javier de Lope Spain 14 89 0.7× 143 1.3× 81 1.0× 57 0.8× 48 1.2× 43 459
Young-Jo Cho South Korea 10 137 1.1× 177 1.7× 111 1.3× 85 1.2× 45 1.1× 59 362
Daniel Cagigas-Muñiz Spain 10 97 0.8× 79 0.7× 63 0.7× 66 0.9× 49 1.2× 26 293
Aleksandar Jevtić Spain 13 119 1.0× 155 1.4× 111 1.3× 80 1.1× 55 1.3× 36 450
Trung Dung Ngo Canada 10 126 1.0× 204 1.9× 130 1.5× 97 1.3× 69 1.7× 67 489
Gerard T. McKee United Kingdom 10 123 1.0× 111 1.0× 91 1.1× 181 2.5× 29 0.7× 74 354
Vincent Berenz Japan 11 205 1.7× 101 0.9× 28 0.3× 47 0.7× 34 0.8× 24 420
Eduardo Oliveira Freire Brazil 11 160 1.3× 242 2.3× 48 0.6× 63 0.9× 113 2.8× 61 440
Enric Cervera Spain 11 160 1.3× 211 2.0× 60 0.7× 94 1.3× 116 2.8× 67 440
Jan Carlo Barca Australia 9 47 0.4× 141 1.3× 227 2.7× 118 1.6× 125 3.0× 33 428

Countries citing papers authored by Fernando Díaz-del-Río

Since Specialization
Citations

This map shows the geographic impact of Fernando Díaz-del-Río'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 Fernando Díaz-del-Río with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Díaz-del-Río more than expected).

Fields of papers citing papers by Fernando Díaz-del-Río

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernando Díaz-del-Río. 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 Fernando Díaz-del-Río. The network helps show where Fernando Díaz-del-Río may publish in the future.

Co-authorship network of co-authors of Fernando Díaz-del-Río

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Díaz-del-Río. A scholar is included among the top collaborators of Fernando Díaz-del-Río 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 Fernando Díaz-del-Río. Fernando Díaz-del-Río 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.
Escobar, Juan José, et al.. (2025). Energy–time modelling of distributed multi-population genetic algorithms with dynamic workload in HPC clusters. Future Generation Computer Systems. 167. 107753–107753.
2.
Díaz-del-Río, Fernando, et al.. (2024). Competitive cost-effective memory access predictor through short-term online SVM and dynamic vocabularies. Future Generation Computer Systems. 164. 107592–107592.
3.
Morón, M. J., et al.. (2023). Autonomous Underwater Vehicles: Identifying Critical Issues and Future Perspectives in Image Acquisition. Sensors. 23(10). 4986–4986. 15 indexed citations
4.
Morón, M. J., Helena Molina‐Abril, Fernando Díaz-del-Río, et al.. (2023). Analysis of Connectome Graphs Based on Boundary Scale. Sensors. 23(20). 8607–8607.
5.
Jiménez, G., Fernando Díaz-del-Río, José Luis Sevillano, et al.. (2023). Designing EV charging stations deployment through holistic simulations: the SANEVEC project. IET conference proceedings.. 2023(24). 133–139. 1 indexed citations
6.
Díaz-del-Río, Fernando, et al.. (2021). A Cellular Automata Agent-Based Hybrid Simulation Tool to Analyze the Deployment of Electric Vehicle Charging Stations. Sustainability. 13(10). 5421–5421. 5 indexed citations
7.
Molina‐Abril, Helena, Pedro Real, & Fernando Díaz-del-Río. (2020). Generating (co)homological information using boundary scale. Pattern Recognition Letters. 133. 240–246. 2 indexed citations
8.
Díaz-del-Río, Fernando, et al.. (2019). Parallel connected-Component-Labeling based on homotopy trees. Pattern Recognition Letters. 131. 71–78. 3 indexed citations
9.
Díaz-del-Río, Fernando, Pedro Real, & Darian M. Onchiş. (2016). A Parallel Implementation for Computing the Region-Adjacency-Tree of a Segmentation of a 2D Digital Image. Lecture notes in computer science. 9555. 98–109.
10.
Díaz-del-Río, Fernando, et al.. (2015). A Tradeoff Analysis of a Cloud-Based Robot Navigation Assistant Using Stereo Image Processing. IEEE Transactions on Automation Science and Engineering. 12(2). 444–454. 43 indexed citations
11.
Díaz-del-Río, Fernando, et al.. (2014). The Shared Control Dynamic Window Approach for Non-Holonomic Semi-Autonomous Robots. idUS (Universidad de Sevilla). 1–6. 12 indexed citations
12.
Díaz-del-Río, Fernando, et al.. (2014). Mobile robot motion planning based on Cloud Computing stereo vision processing. idUS (Universidad de Sevilla). 1–6. 4 indexed citations
13.
Sevillano, José Luis, et al.. (2012). Network traffic analysis and evaluation of a multi-user virtual environment. Simulation Modelling Practice and Theory. 26. 1–15. 1 indexed citations
14.
Gómez-Rodríguez, F., et al.. (2010). Real time multiple objects tracking based on a bio-inspired processing cascade architecture. 3512. 1399–1402. 13 indexed citations
15.
Díaz-del-Río, Fernando, et al.. (2009). A dynamic equilibrium view of caching systems. 53–54. 1 indexed citations
16.
Sevillano, José Luis, et al.. (2009). A real-time wireless sensor network for wheelchair navigation. idUS (Universidad de Sevilla). 34. 103–108. 6 indexed citations
17.
Sevillano, José Luis, et al.. (2006). Soft real-time communications over Bluetooth under interferences from ISM devices. International Journal of Communication Systems. 19(10). 1103–1116. 4 indexed citations
18.
Díaz-del-Río, Fernando, et al.. (2005). Promoting accessibility by using metadata in the framework of a semantic-web driven CMS. idUS (Universidad de Sevilla). 71–77. 2 indexed citations
19.
Sevillano, José Luis, et al.. (2005). STATISTICAL QOS GUARANTEES IN BLUETOOTH UNDER CO-CHANNEL INTERFERENCE. 227–234. 1 indexed citations
20.
Díaz-del-Río, Fernando, et al.. (2003). A generalization of path following for mobile robots. 1. 7–12. 19 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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