R.M. Aguilar

566 total citations
49 papers, 377 citations indexed

About

R.M. Aguilar is a scholar working on Artificial Intelligence, Management Science and Operations Research and Management Information Systems. According to data from OpenAlex, R.M. Aguilar has authored 49 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 10 papers in Management Science and Operations Research and 5 papers in Management Information Systems. Recurrent topics in R.M. Aguilar's work include Neural Networks and Applications (9 papers), Simulation Techniques and Applications (8 papers) and Fuzzy Logic and Control Systems (6 papers). R.M. Aguilar is often cited by papers focused on Neural Networks and Applications (9 papers), Simulation Techniques and Applications (8 papers) and Fuzzy Logic and Control Systems (6 papers). R.M. Aguilar collaborates with scholars based in Spain, Latvia and United States. R.M. Aguilar's co-authors include Iván Castilla‐Rodríguez, L. Moreno, José Sigut, Carlos A. Martín, Christopher Expósito‐Izquierdo, Belén Melián-Batista, J. Marcos Moreno‐Vega, Jeremy Haggar, V. Muñoz and Claudia Muñoz and has published in prestigious journals such as Applied Energy, IEEE Transactions on Signal Processing and Expert Systems with Applications.

In The Last Decade

R.M. Aguilar

47 papers receiving 339 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
R.M. Aguilar Spain	11	98	58	50	46	44	49	377
James Byrne Ireland	10	28 0.3×	47 0.8×	36 0.7×	17 0.4×	42 1.0×	29	482
Hitesh Kumar Sharma India	12	107 1.1×	18 0.3×	21 0.4×	24 0.5×	21 0.5×	54	475
Aram Bahrini United States	9	114 1.2×	38 0.7×	15 0.3×	15 0.3×	17 0.4×	22	388
Samiul Islam Bangladesh	12	67 0.7×	20 0.3×	48 1.0×	23 0.5×	9 0.2×	48	452
Marco Gavanelli Italy	13	342 3.5×	25 0.4×	22 0.4×	8 0.2×	27 0.6×	79	546
Sergio Muñoz-Romero Spain	11	119 1.2×	45 0.8×	10 0.2×	17 0.4×	69 1.6×	46	488
H. H. Chang Taiwan	12	44 0.4×	23 0.4×	88 1.8×	9 0.2×	24 0.5×	32	471
Eduarda Asfora Frej Brazil	12	27 0.3×	18 0.3×	73 1.5×	21 0.5×	13 0.3×	31	508
Lixin Zhou China	14	118 1.2×	10 0.2×	26 0.5×	33 0.7×	66 1.5×	41	527
Edgar Gutiérrez-Franco United States	11	89 0.9×	72 1.2×	82 1.6×	72 1.6×	16 0.4×	37	457

Countries citing papers authored by R.M. Aguilar

Since Specialization

Citations

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

Fields of papers citing papers by R.M. Aguilar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R.M. Aguilar. 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 R.M. Aguilar. The network helps show where R.M. Aguilar may publish in the future.

Co-authorship network of co-authors of R.M. Aguilar

This figure shows the co-authorship network connecting the top 25 collaborators of R.M. Aguilar. A scholar is included among the top collaborators of R.M. Aguilar 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 R.M. Aguilar. R.M. Aguilar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Aguilar, R.M., et al.. (2020). Supervisión remota en el entrenamiento de un clasificador de sentimientos en comentarios turísticos. Institutional Repository University of Extremadura (University of Extremadura). 644–650. 1 indexed citations

Aguilar, R.M., et al.. (2018). Deep learning to predict the generation of a wind farm. Journal of Renewable and Sustainable Energy. 10(1). 19 indexed citations

Haggar, Jeremy, et al.. (2013). Land Use Change on Coffee Farms in Southern Guatemala and its Environmental Consequences. Environmental Management. 51(4). 811–823. 26 indexed citations

Grundspeņķis, Jānis, et al.. (2011). Simulation Highway ? Direct Access Intelligent Cloud Simulator. Annual Simulation Symposium. 62–71. 2 indexed citations

Aguilar, R.M., Marco Congedo, & Javier Mínguez. (2011). A data-driven process for the development of an eyes-closed EEG normative database. PubMed. 35. 7306–7309. 2 indexed citations

Aguilar, R.M., et al.. (2010). Conceptos lógico-matemáticos en la enseñanza primaria en un niño con espina bífida y síndrome de Arnold Chiari. Memoria digital de Canarias (Universidad de Las Palmas de Gran Canaria). 41–61. 1 indexed citations

Aguilar, R.M., et al.. (2009). Sistema de solicitud de imágenes de LPAIS. Hispana. 92–94. 1 indexed citations

Castilla‐Rodríguez, Iván, Félix C. García, & R.M. Aguilar. (2009). Exploiting concurrency in the implementation of a discrete event simulator. Simulation Modelling Practice and Theory. 17(5). 850–870. 7 indexed citations

Bruno, Andrea, et al.. (2007). Un estudio sobre habilidades de conteo en alumnado con síndrome de Down. Educación matemática. 19(3). 31–63. 2 indexed citations

10.

Aguilar, R.M., et al.. (2007). Verification and validation of an intelligent tutorial system. Expert Systems with Applications. 35(3). 677–685. 15 indexed citations

11.

Bruno, Andrea, et al.. (2006). Análisis de un tutorial inteligente sobre conceptos lógico- matemáticos en alumnos con Síndrome de Down. 9(2). 211–226. 7 indexed citations

12.

Alayón, Silvia, et al.. (2005). Cytological image analysis with a genetic fuzzy finite state machine. Computer Methods and Programs in Biomedicine. 80. S3–S15. 17 indexed citations

13.

Aguilar, R.M., et al.. (2003). The Design of an Intelligent Tutorial for the Addition Operation in Children with Learning Difficulties. The Fuzzy Instructional Planner. E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education. 2003(1). 850–851. 2 indexed citations

14.

Moreno, L., et al.. (2002). Towards a knowledge based system for the clinical evaluation of the electroencephalogram and visual evoked potentials. 4. 4069–4074. 1 indexed citations

15.

Moreno, L., et al.. (2001). Exploiting the advantages of symbolically interpretable continuous biomedical parameters with a fuzzyfied symbolic model. Artificial Intelligence in Medicine. 21(1-3). 253–262. 1 indexed citations

16.

Moreno, L., et al.. (2001). Tools for Acquisition, Processing and Knowledge-Based Diagnostic of the Electroencephalogram and Visual Evoked Potentials. Journal of Medical Systems. 25(3). 177–194. 3 indexed citations

17.

Moreno, L., et al.. (2000). Automatic analysis of signals with symbolic content. Artificial Intelligence in Medicine. 18(3). 245–265. 6 indexed citations

18.

Aguilar, R.M., et al.. (1999). Plutarco, Platón y Aristóteles : actas del V congreso internacional de la I.P.S. (Madrid-Cuenca, 4-7 de mayo de 1999). 3 indexed citations

19.

Moreno, L., et al.. (1998). Evoked Potential Feature Detection with Recurrent Dynamic Neural Networks.. Natural Computing. 533–536. 2 indexed citations

20.

Moreno, L., et al.. (1995). Experiments on A D.C. Motor Based System for a Digital Control Course. International Journal of Electrical Engineering Education. 32(2). 163–178. 2 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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