Luis de‐la‐Fuente‐Valentín

780 citations
51 papers · 561 · h-index 13

Impact in

Papers in

Luis de‐la‐Fuente‐Valentín

46 papers receiving 515 citations

Peers

Luis de‐la‐Fuente‐Valentín
Comparison fields: 5 of 90
  • Computer Science Applications 326
  • Developmental and Educational Psychology 169
  • Health Informatics 10
  • Information Systems 139
  • Communication 30
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Citations per year

Countries citing papers authored by Luis de‐la‐Fuente‐Valentín

Since Specialization
Citations

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

Fields of papers citing papers by Luis de‐la‐Fuente‐Valentín

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luis de‐la‐Fuente‐Valentín. 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 Luis de‐la‐Fuente‐Valentín. The network helps show where Luis de‐la‐Fuente‐Valentín may publish in the future.

Co-authors

The 25 scholars most cited alongside Luis de‐la‐Fuente‐Valentín, 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 Luis de‐la‐Fuente‐Valentín Line = papers co-authored together Luis de‐la‐Fuente‐Valentín links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201275
2 202153
3 202147
4 201139
5 200734
6 201026
7 202026
8 201222
9 200921
10 200818
11 202117
12 201816
13
Mashups in Learning Design: pushing the flexibility envelope
200814
14 200812
15 202211
16 201311
17 20248
18 20238
19 20188
20 20238

About Luis de‐la‐Fuente‐Valentín

Luis de‐la‐Fuente‐Valentín is a scholar working on Computer Science Applications, Artificial Intelligence, Developmental and Educational Psychology, Information Systems and Media Technology, having authored 51 papers that have together received 561 indexed citations. Recurring topics across this work include E-Learning and Knowledge Management (17 papers), Online Learning and Analytics (15 papers), Open Education and E-Learning (12 papers), Innovative Teaching and Learning Methods (12 papers), Mobile Learning in Education (6 papers), Intelligent Tutoring Systems and Adaptive Learning (5 papers), Data Stream Mining Techniques (4 papers) and Online and Blended Learning (3 papers). The work is most often cited by research in Computer Science Applications (326 citations), Developmental and Educational Psychology (169 citations), Health Informatics (10 citations), Information Systems (139 citations) and Communication (30 citations). Luis de‐la‐Fuente‐Valentín has collaborated with scholars based in Spain, United Kingdom and Mexico. Frequent co-authors include Abelardo Pardo, Carlos Delgado Kloos, Daniel Burgos, Derick Leony, Silvia Baldiris, A. Martı́n del Rey, Roberto Casado‐Vara, Juan M. Corchado, Pablo Moreno‐Ger and Davinia Hernández‐Leo. Their work appears in journals such as IEEE Access, Computers & Education, International Journal of Emerging Technologies in Learning (iJET), The Anatomical Record and International Journal of Technology Enhanced Learning.

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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