Alejandro Peña‐Ayala

2.0k citations
37 papers · 1.2k indexed · 1 hit paper · h-index 13

Alejandro Peña‐Ayala

33 papers receiving 1.1k citations

Hit Papers

Educational data mining: A survey and a data mining-based...20132026201720212013100200300400

Peers

Alejandro Peña‐Ayala
Comparison fields: 5 of 105
  • Computer Science Applications 657
  • Artificial Intelligence 390
  • Information Systems 297
  • Education 276
  • Developmental and Educational Psychology 157
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Citations per field
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Citations per year

Countries citing papers authored by Alejandro Peña‐Ayala

Since Specialization
Citations

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

Fields of papers citing papers by Alejandro Peña‐Ayala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alejandro Peña‐Ayala. 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 Alejandro Peña‐Ayala. The network helps show where Alejandro Peña‐Ayala may publish in the future.

Co-authorship network of co-authors of Alejandro Peña‐Ayala

This figure shows the co-authorship network connecting the top 25 collaborators of Alejandro Peña‐Ayala. A scholar is included among the top collaborators of Alejandro Peña‐Ayala 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 Alejandro Peña‐Ayala. Alejandro Peña‐Ayala 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
#WorkIndexed citations
1 3
2 28
3 7
4 26
5 1
6
Educational data mining : applications and trends
5
7 9
8 32
9
Intelligent and adaptive educational-learning systems : achievements and trends
0
10 6
11
Educational data mining: a sample of review and study case
12
12
Mapas Cognitivos: un Perfil y su Aplicación al Modelado del Estudiante
4
13 0
14 0
15
Cognitive Maps: an Overview and their Application for Student Modeling Mapas Cognitivos: un Perfil y su Aplicación al Modelado del Estudiante
0
16 18
17 54
18
Ontology-based Knowledge Administration
1
19
Proceedings of the IASTED International Conference on Web-Based Education, WBE 2005
3
20
Adaptive Learning through Cognitive Maps
3

About Alejandro Peña‐Ayala

Alejandro Peña‐Ayala is a scholar working on Computer Science Applications, Neuropsychology and Physiological Psychology and Developmental and Educational Psychology, having authored 37 papers that have together received 1.2k indexed citations. Recurring topics across this work include Online Learning and Analytics (11 papers), Innovative Teaching and Learning Methods (8 papers) and Intelligent Tutoring Systems and Adaptive Learning (8 papers). The work is most often cited by research in Computer Science Applications (657 citations), Health Information Management (72 citations) and Information Systems (297 citations). Alejandro Peña‐Ayala has collaborated with scholars based in Mexico, Spain and Japan. Frequent co-authors include Leonor Adriana Cárdenas-Robledo, Humberto Sossa, Ignacio Méndez Ramírez, José Antonio Iribarren, Santiago Moreno, Julia del Amo, M. Ángeles Rodríguez-Arenas, J Lacruz, Santiago Pérez‐Hoyos and Pompeyo Viciana. Their work appears in journals such as Computers in Human Behavior, Expert Systems with Applications and JAIDS Journal of Acquired Immune Deficiency Syndromes.

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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