Juan M. Sánchez‐Pérez

1.5k total citations
78 papers, 817 citations indexed

About

Juan M. Sánchez‐Pérez is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Juan M. Sánchez‐Pérez has authored 78 papers receiving a total of 817 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Electrical and Electronic Engineering, 29 papers in Computer Networks and Communications and 26 papers in Artificial Intelligence. Recurrent topics in Juan M. Sánchez‐Pérez's work include Wireless Communication Networks Research (19 papers), Metaheuristic Optimization Algorithms Research (16 papers) and Advanced MIMO Systems Optimization (14 papers). Juan M. Sánchez‐Pérez is often cited by papers focused on Wireless Communication Networks Research (19 papers), Metaheuristic Optimization Algorithms Research (16 papers) and Advanced MIMO Systems Optimization (14 papers). Juan M. Sánchez‐Pérez collaborates with scholars based in Spain and Portugal. Juan M. Sánchez‐Pérez's co-authors include Miguel A. Vega‐Rodríguez, Juan A. Gómez‐Pulido, José M. Chaves-González, Álvaro Rubio‐Largo, David L. González‐Álvarez, Baltasar Fernández‐Manjón, Jose M. Lanza-Gutiérrez, José Bravo, Raúl Gutiérrez and Beatriz Paniagua and has published in prestigious journals such as Sensors, IEEE Transactions on Evolutionary Computation and Applied Soft Computing.

In The Last Decade

Juan M. Sánchez‐Pérez

76 papers receiving 760 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Juan M. Sánchez‐Pérez Spain 14 282 217 202 201 128 78 817
Jan Korst Netherlands 14 309 1.1× 133 0.6× 253 1.3× 133 0.7× 127 1.0× 66 900
Grégoire Danoy Luxembourg 18 205 0.7× 252 1.2× 520 2.6× 260 1.3× 102 0.8× 96 1.1k
Jordi Petit Spain 12 113 0.4× 164 0.8× 310 1.5× 113 0.6× 264 2.1× 43 763
Henk Meijer Canada 16 174 0.6× 130 0.6× 341 1.7× 204 1.0× 254 2.0× 100 826
Hsu‐Chun Yen Taiwan 17 133 0.5× 148 0.7× 232 1.1× 184 0.9× 266 2.1× 90 768
Toshinori Munakata United States 15 312 1.1× 143 0.7× 125 0.6× 92 0.5× 218 1.7× 38 865
N.R. Malik United States 5 109 0.4× 208 1.0× 179 0.9× 74 0.4× 144 1.1× 10 797
Sayan Ghosh United States 14 408 1.4× 56 0.3× 119 0.6× 144 0.7× 99 0.8× 72 802
Yuanxiang Li China 18 507 1.8× 101 0.5× 76 0.4× 175 0.9× 273 2.1× 103 964
Ranjith Kumar R India 4 357 1.3× 117 0.5× 195 1.0× 81 0.4× 133 1.0× 8 787

Countries citing papers authored by Juan M. Sánchez‐Pérez

Since Specialization
Citations

This map shows the geographic impact of Juan M. Sánchez‐Pérez'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 Juan M. Sánchez‐Pérez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juan M. Sánchez‐Pérez more than expected).

Fields of papers citing papers by Juan M. Sánchez‐Pérez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juan M. Sánchez‐Pérez. 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 Juan M. Sánchez‐Pérez. The network helps show where Juan M. Sánchez‐Pérez may publish in the future.

Co-authorship network of co-authors of Juan M. Sánchez‐Pérez

This figure shows the co-authorship network connecting the top 25 collaborators of Juan M. Sánchez‐Pérez. A scholar is included among the top collaborators of Juan M. Sánchez‐Pérez 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 Juan M. Sánchez‐Pérez. Juan M. Sánchez‐Pérez 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.
Vega‐Rodríguez, Miguel A., et al.. (2013). Hardware security platform for multicast communications. Journal of Systems Architecture. 60(1). 11–21. 6 indexed citations
2.
Vega‐Rodríguez, Miguel A., et al.. (2013). LOW POWER CONSUMPTION SECURITY PLATFORM FOR INDUSTRIAL COMMUNICATIONS USING AN MPSOC. Journal of Circuits Systems and Computers. 22(5). 1350029–1350029. 1 indexed citations
3.
Lanza-Gutiérrez, Jose M., Juan A. Gómez‐Pulido, Miguel A. Vega‐Rodríguez, & Juan M. Sánchez‐Pérez. (2012). Multi-objective evolutionary algorithms for energy-efficiency in heterogeneous wireless sensor networks. 1–6. 8 indexed citations
4.
González‐Álvarez, David L., Miguel A. Vega‐Rodríguez, Juan A. Gómez‐Pulido, & Juan M. Sánchez‐Pérez. (2012). Multiobjective Teaching-Learning-Based Optimization (MO-TLBO) for motif finding. 141–146. 11 indexed citations
5.
Rubio‐Largo, Álvaro, Miguel A. Vega‐Rodríguez, Juan A. Gómez‐Pulido, & Juan M. Sánchez‐Pérez. (2012). A Comparative Study on Multiobjective Swarm Intelligence for the Routing and Wavelength Assignment Problem. IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews). 42(6). 1644–1655. 23 indexed citations
6.
Vega‐Rodríguez, Miguel A., et al.. (2012). Multiobjective metaheuristics for frequency assignment problem in mobile networks with large‐scale real‐world instances. Engineering Computations. 29(2). 144–172. 13 indexed citations
7.
González‐Álvarez, David L., Miguel A. Vega‐Rodríguez, Juan A. Gómez‐Pulido, & Juan M. Sánchez‐Pérez. (2012). Comparing multiobjective swarm intelligence metaheuristics for DNA motif discovery. Engineering Applications of Artificial Intelligence. 26(1). 314–326. 11 indexed citations
8.
Sánchez‐Pérez, Juan M., et al.. (2011). Efficient load balancing using the bees algorithm. 469–479. 3 indexed citations
9.
González‐Álvarez, David L., Miguel A. Vega‐Rodríguez, Juan A. Gómez‐Pulido, & Juan M. Sánchez‐Pérez. (2011). Predicting DNA Motifs by Using Evolutionary Multiobjective Optimization. IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews). 42(6). 913–925. 17 indexed citations
10.
Gómez‐Pulido, Juan A., et al.. (2011). Processor for Measuring Radio Network Design Quality. 2(3). 204–211. 3 indexed citations
11.
Sánchez‐Pérez, Juan M., et al.. (2010). Hybrid Honey Bees Mating Optimisation algorithm to assign terminals to concentrators. 50. 1–7. 1 indexed citations
12.
Sánchez‐Pérez, Juan M., et al.. (2010). A Hybrid Population-Based Incremental Learning algorithm for load balancing in RPR. 4. 1–5. 1 indexed citations
13.
Vega‐Rodríguez, Miguel A., et al.. (2009). PARALLEL AND RUNTIME RECONFIGURABLE IMPLEMENTATION OF THE IDEA ALGORITHM. Journal of Circuits Systems and Computers. 18(1). 133–150. 1 indexed citations
14.
Vega‐Rodríguez, Miguel A., et al.. (2009). GRASP and grid computing to solve the location area problem. 4. 164–169. 2 indexed citations
15.
Vega‐Rodríguez, Miguel A., et al.. (2007). Solving the frequency assignment problem with differential evolution. 11. 1–5. 2 indexed citations
16.
Fernández‐Manjón, Baltasar, et al.. (2007). Computers and Education: E-learning, From Theory to Practice. Medical Entomology and Zoology. 35 indexed citations
17.
Vega‐Rodríguez, Miguel A., Juan A. Gómez‐Pulido, & Juan M. Sánchez‐Pérez. (2005). Case Studies in Tele-Education: Research and Projects. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
18.
Vega‐Rodríguez, Miguel A., Juan M. Sánchez‐Pérez, & Juan A. Gómez‐Pulido. (2004). An optimized architecture for implementing image convolution with reconfigurable hardware. World Automation Congress. 16. 131–136. 3 indexed citations
19.
Vega‐Rodríguez, Miguel A., Juan M. Sánchez‐Pérez, & Juan A. Gómez‐Pulido. (2004). Advances in FPGA tools and techniques. Microprocessors and Microsystems. 29(2-3). 47–49.
20.
Vega‐Rodríguez, Miguel A., Juan M. Sánchez‐Pérez, & Juan A. Gómez‐Pulido. (2002). Real time image processing with reconfigurable hardware. 1. 213–216. 9 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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