L. Moreno

844 citations
67 papers · 486 · h-index 12

Impact in

Papers in

L. Moreno

56 papers receiving 428 citations

Peers

L. Moreno
Comparison fields: 5 of 88
  • Computer Science Applications 67
  • Media Technology 72
  • Neuropsychology and Physiological Psychology 12
  • Control and Systems Engineering 133
  • Hardware and Architecture 35
Replace Kin Fun Li with:
Kin Fun Li Canada
Angélica de Antonio Spain
Marjorie Darrah United States
Jo Ellen Perry United States
Riccardo Coppola Italy
Dale C. Rowe United States
Vikramaditya R. Jakkula United States
Abdallah Moubayed Canada
Steffi Knorn Germany
Maja Matijašević Croatia
L. Moreno relative to Kin Fun Li Canada Kin Fun Li's profile →
Citations per field
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Citations per year

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-authors

The 24 scholars most cited alongside L. Moreno, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with L. Moreno Line = papers co-authored together L. Moreno links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200671
2 200154
3 199824
4 200724
5 201321
6 200218
7 200517
8 199517
9 200017
10 201016
11 200715
12 199912
13 200311
14 200010
15 20039
16 19999
17 20099
18 20108
19 20068
20
Análisis de un tutorial inteligente sobre conceptos lógico- matemáticos en alumnos con Síndrome de Down
20067

About L. Moreno

L. Moreno is a scholar working on Artificial Intelligence, Control and Systems Engineering, Computer Networks and Communications, Media Technology and Hardware and Architecture, having authored 67 papers that have together received 486 indexed citations. Recurring topics across this work include Neural Networks and Applications (14 papers), Experimental Learning in Engineering (10 papers), Fuzzy Logic and Control Systems (9 papers), Intelligent Tutoring Systems and Adaptive Learning (7 papers), Parallel Computing and Optimization Techniques (6 papers), Cognitive and developmental aspects of mathematical skills (4 papers), Evolutionary Algorithms and Applications (4 papers) and E-Learning and Knowledge Management (4 papers). The work is most often cited by research in Computer Science Applications (67 citations), Media Technology (72 citations), Neuropsychology and Physiological Psychology (12 citations), Control and Systems Engineering (133 citations) and Hardware and Architecture (35 citations). L. Moreno has collaborated with scholars based in Spain and Brazil. Frequent co-authors include Carina Soledad González González, José Sigut, Evelio J. González, Juan Albino Méndez Pérez, G.N. Marichal, R.M. Aguilar, A. Hamilton, Andrea Bruno, Iván Castilla‐Rodríguez and V. Muñoz. Their work appears in journals such as IEEE Transactions on Education, Computer Applications in Engineering Education, Artificial Intelligence in Medicine, Natural Computing and Expert Systems with Applications.

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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