Miguel A. Prada

794 total citations
54 papers, 507 citations indexed

About

Miguel A. Prada is a scholar working on Control and Systems Engineering, Media Technology and Electrical and Electronic Engineering. According to data from OpenAlex, Miguel A. Prada has authored 54 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Control and Systems Engineering, 20 papers in Media Technology and 17 papers in Electrical and Electronic Engineering. Recurrent topics in Miguel A. Prada's work include Experimental Learning in Engineering (20 papers), Industrial Automation and Control Systems (9 papers) and Advanced MEMS and NEMS Technologies (8 papers). Miguel A. Prada is often cited by papers focused on Experimental Learning in Engineering (20 papers), Industrial Automation and Control Systems (9 papers) and Advanced MEMS and NEMS Technologies (8 papers). Miguel A. Prada collaborates with scholars based in Spain, Italy and Portugal. Miguel A. Prada's co-authors include Manuel Domí­nguez, Serafí­n Alonso, Juan J. Fuertes, Antonio Morán, Daniel Pérez, Ignacio Díaz, Antonio Morán, Jyrki Kullaa, Jaakko Hollmén and Abel A. Cuadrado and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Computers & Education.

In The Last Decade

Miguel A. Prada

48 papers receiving 483 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Miguel A. Prada Spain 14 129 123 121 116 95 54 507
Serafí­n Alonso Spain 12 117 0.9× 96 0.8× 97 0.8× 107 0.9× 43 0.5× 42 396
Latesh Malik India 14 130 1.0× 80 0.7× 28 0.2× 90 0.8× 238 2.5× 103 685
Puming Wang China 13 64 0.5× 152 1.2× 31 0.3× 92 0.8× 149 1.6× 46 489
Volodymyr Kochan Ukraine 12 54 0.4× 223 1.8× 87 0.7× 75 0.6× 119 1.3× 84 469
Jiankang Ren China 11 35 0.3× 245 2.0× 59 0.5× 210 1.8× 77 0.8× 39 575
Mohammed Balfaqih Saudi Arabia 15 38 0.3× 227 1.8× 62 0.5× 362 3.1× 38 0.4× 46 599
Jesús Villadangos Spain 15 33 0.3× 257 2.1× 49 0.4× 329 2.8× 76 0.8× 81 695
Anwar Hussain Pakistan 12 81 0.6× 121 1.0× 49 0.4× 93 0.8× 73 0.8× 30 406
William Tärneberg Sweden 11 32 0.2× 270 2.2× 62 0.5× 103 0.9× 55 0.6× 46 419

Countries citing papers authored by Miguel A. Prada

Since Specialization
Citations

This map shows the geographic impact of Miguel A. Prada'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 Miguel A. Prada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miguel A. Prada more than expected).

Fields of papers citing papers by Miguel A. Prada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Miguel A. Prada. 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 Miguel A. Prada. The network helps show where Miguel A. Prada may publish in the future.

Co-authorship network of co-authors of Miguel A. Prada

This figure shows the co-authorship network connecting the top 25 collaborators of Miguel A. Prada. A scholar is included among the top collaborators of Miguel A. Prada 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 Miguel A. Prada. Miguel A. Prada 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.
Morán, Antonio, et al.. (2025). Adaptive model based on ESN for anomaly detection in industrial systems. Evolving Systems. 16(1).
2.
Morán, Antonio, et al.. (2024). Demostrador para el análisis de tráfico de red en subestaciones de tracción basadas en IEC61850. Buleria (Universidad de León).
3.
Prada, Miguel A., et al.. (2024). Assessment and deployment of a LSTM-based virtual sensor in an industrial process control loop. Neural Computing and Applications. 37(17). 10507–10519.
4.
Morán, Antonio, et al.. (2024). Remote training platform for industrial control automation. IFAC-PapersOnLine. 58(26). 164–169. 1 indexed citations
5.
Prada, Miguel A., et al.. (2023). Hands-on training in industrial cybersecurity for a multidisciplinary Master's degree. IFAC-PapersOnLine. 56(2). 11217–11222. 1 indexed citations
6.
Alonso, Serafí­n, Antonio Morán, Daniel Pérez, et al.. (2023). Gap imputation in related multivariate time series through recurrent neural network-based denoising autoencoder. Integrated Computer-Aided Engineering. 31(2). 157–172. 9 indexed citations
7.
Domí­nguez, Manuel, Daniel Pérez, Antonio Morán, et al.. (2022). Remote training in cybersecurity for industrial control systems. IFAC-PapersOnLine. 55(17). 320–325. 3 indexed citations
8.
Alonso, Serafí­n, Antonio Morán, Daniel Pérez, et al.. (2021). Virtual sensor for probabilistic estimation of the evaporation in cooling towers. Integrated Computer-Aided Engineering. 28(4). 369–381. 4 indexed citations
9.
Fuertes, Juan J., et al.. (2021). Environment for Education on Industry 4.0. IEEE Access. 9. 144395–144405. 28 indexed citations
10.
Prada, Miguel A., Manuel Domí­nguez, José López Vicario, et al.. (2020). Educational Data Mining for Tutoring Support in Higher Education: A Web-Based Tool Case Study in Engineering Degrees. IEEE Access. 8. 212818–212836. 30 indexed citations
11.
Alonso, Serafí­n, et al.. (2019). A Data-Driven Approach for Enhancing the Efficiency in Chiller Plants: A Hospital Case Study. Energies. 12(5). 827–827. 17 indexed citations
12.
Prada, Miguel A., et al.. (2017). Comparative analysis of the security of configuration protocols for industrial control devices. International Journal of Critical Infrastructure Protection. 19. 4–15. 11 indexed citations
13.
Prada, Miguel A., et al.. (2015). Challenges and solutions in remote laboratories. Application to a remote laboratory of an electro-pneumatic classification cell. Computers & Education. 85. 180–190. 29 indexed citations
14.
Prada, Miguel A., et al.. (2015). The Italian 648/96 List: Approvals, Rejections and Methods In Aifa’s Evaluation Process Between January 2013 and May 2015. Value in Health. 18(7). A680–A680. 3 indexed citations
15.
Domí­nguez, Manuel, et al.. (2015). A LOW-COST OPEN SOURCE HARDWARE IN CONTROL EDUCATION. CASE STUDY: ARDUINO-FEEDBACK MS-150. IFAC-PapersOnLine. 48(29). 117–122. 38 indexed citations
16.
Morán, Antonio, Juan J. Fuertes, Miguel A. Prada, et al.. (2013). Analysis of electricity consumption profiles in public buildings with dimensionality reduction techniques. Engineering Applications of Artificial Intelligence. 26(8). 1872–1880. 13 indexed citations
17.
Domí­nguez, Manuel, et al.. (2013). Education on automatic control for professionals through the LRA-ULE remote laboratory. IFAC Proceedings Volumes. 46(17). 90–95. 3 indexed citations
18.
Fuertes, Juan J., et al.. (2012). Virtual and Remote Laboratory of a DC Motor. IFAC Proceedings Volumes. 45(11). 288–293. 10 indexed citations
19.
Domí­nguez, Manuel, et al.. (2012). Improving user interaction in remote laboratories through HTML5/AJAX. IFAC Proceedings Volumes. 45(11). 282–287. 1 indexed citations
20.
Domí­nguez, Manuel, Juan J. Fuertes, Miguel A. Prada, et al.. (2009). Tool for instruction and learning on variable speed drives through the Internet. 4048–4053. 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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