L. Moreno

844 total citations
67 papers, 486 citations indexed

About

L. Moreno is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Networks and Communications. According to data from OpenAlex, L. Moreno has authored 67 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 16 papers in Control and Systems Engineering and 11 papers in Computer Networks and Communications. Recurrent topics in L. Moreno's work include Neural Networks and Applications (14 papers), Experimental Learning in Engineering (10 papers) and Fuzzy Logic and Control Systems (9 papers). L. Moreno is often cited by papers focused on Neural Networks and Applications (14 papers), Experimental Learning in Engineering (10 papers) and Fuzzy Logic and Control Systems (9 papers). L. Moreno collaborates with scholars based in Spain and Brazil. L. Moreno's co-authors include Carina Soledad González González, José Sigut, Evelio J. González, G.N. Marichal, Juan Albino Méndez Pérez, A. Hamilton, R.M. Aguilar, Andrea Bruno, Iván Castilla‐Rodríguez and V. Muñoz and has published in prestigious journals such as IEEE Transactions on Signal Processing, Expert Systems with Applications and Computers & Education.

In The Last Decade

L. Moreno

56 papers receiving 428 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
L. Moreno Spain	12	133	107	72	67	66	67	486
Angélica de Antonio Spain	12	52 0.4×	188 1.8×	25 0.3×	84 1.3×	108 1.6×	82	506
Dohyun Kim South Korea	12	108 0.8×	88 0.8×	15 0.2×	29 0.4×	84 1.3×	77	519
Marjorie Darrah United States	13	38 0.3×	97 0.9×	69 1.0×	15 0.2×	132 2.0×	42	488
Héctor Vargas Spain	17	234 1.8×	43 0.4×	424 5.9×	84 1.3×	106 1.6×	63	779
F. Jakab Slovakia	10	21 0.2×	63 0.6×	61 0.8×	48 0.7×	104 1.6×	100	419
Asım Sinan Yüksel Türkiye	9	58 0.4×	138 1.3×	27 0.4×	10 0.1×	48 0.7×	32	435
Kin Fun Li Canada	14	27 0.2×	173 1.6×	31 0.4×	68 1.0×	154 2.3×	90	686
Tien‐Wen Sung Taiwan	14	43 0.3×	126 1.2×	26 0.4×	13 0.2×	69 1.0×	44	593
Chan‐Jin Chung United States	10	39 0.3×	218 2.0×	15 0.2×	40 0.6×	48 0.7×	31	391
Ying Zhu China	15	50 0.4×	83 0.8×	18 0.3×	32 0.5×	49 0.7×	70	1.0k

Countries citing papers authored by L. Moreno

Since Specialization

Citations

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

Fields of papers citing papers by L. Moreno

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L. Moreno. 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 L. Moreno. The network helps show where L. Moreno may publish in the future.

Co-authorship network of co-authors of L. Moreno

This figure shows the co-authorship network connecting the top 25 collaborators of L. Moreno. A scholar is included among the top collaborators of L. Moreno 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 L. Moreno. L. Moreno 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

Moreno, L., et al.. (2011). Intelligent Evaluation of Social Knowledge Building Using Conceptual Maps with MLN. Educational Data Mining. 343–344. 2 indexed citations

Moreno, L., et al.. (2009). Propuesta de mejora en el proceso de aprendizaje del alumno y su aplicación a una asignatura de Arquitectura de Computadores.. IEEE Revista Iberoamericana de Tecnologias del Aprendizaje. 4(4). 239–248. 2 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

Castilla‐Rodríguez, Iván, L. Moreno, Carina Soledad González González, José Sigut, & Evelio J. González. (2007). SIMDE: An educational simulator of ILP architectures with dynamic and static scheduling. Computer Applications in Engineering Education. 15(3). 226–239. 3 indexed citations

González, Evelio J., A. Hamilton, L. Moreno, et al.. (2007). Intelligent Agents and Apache Cocoon for a CV Generation System. 23. 9–15.

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

Pérez, Juan Albino Méndez, et al.. (2006). A control engineering laboratory based on a low-cost non-linear plant. 22. 205–215. 1 indexed citations

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

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

10.

González, Evelio J., et al.. (2004). A set of microprocessor‐based procedures for an industrial engineering course. Computer Applications in Engineering Education. 12(3). 145–151. 4 indexed citations

11.

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

12.

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

13.

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

14.

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

15.

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

16.

Marichal, G.N., Leopoldo Sánchez, L. Moreno, A. Hamilton, & Juan Albino Méndez Pérez. (1998). An Approach to the Inverse Kinematics of a Redundant Planar Arm by Dynamic Neural Networks.. Natural Computing. 772–777.

17.

Moreno, L., et al.. (1995). Brain maturation estimation using neural classifier. IEEE Transactions on Biomedical Engineering. 42(4). 428–432. 17 indexed citations

18.

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

19.

Moreno, L., Ignasi Roca, & Emilio Luque. (1989). Floppy disk controllers for a computer architecture course. IEEE Transactions on Education. 32(2). 112–117. 1 indexed citations

20.

Moreno, L., et al.. (1984). Time-optimal control algorithm for microprocessor with asymmetrical bounds. IEE Proceedings D Control Theory and Applications. 131(6). 238–238. 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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