David Vallejo

958 citations
68 papers · 588 · h-index 14

Impact in

Papers in

David Vallejo

61 papers receiving 561 citations

Peers

David Vallejo
Comparison fields: 5 of 99
  • Human-Computer Interaction 76
  • Computer Science Applications 66
  • Rehabilitation 57
  • Computer Vision and Pattern Recognition 180
  • Developmental and Educational Psychology 77
Replace J.J. Castro-Schez with:
J.J. Castro-Schez Spain
Javier Albusac Spain
Kin Fun Li Canada
Alejandro Baldominos Spain
Adina Magda Florea Romania
Imad Afyouni United Arab Emirates
Patricia Morreale United States
Mario Gutiérrez Switzerland
Nur Ulfa Maulidevi Indonesia
David Vallejo relative to J.J. Castro-Schez Spain J.J. Castro-Schez's profile →
Citations per field
00.5×
J.J. Castro-Schez · 1×
Citations per year

Countries citing papers authored by David Vallejo

Since Specialization
Citations

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

Fields of papers citing papers by David Vallejo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David Vallejo, 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 David Vallejo Line = papers co-authored together David Vallejo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201058
2 202043
3 202039
4 202034
5 201929
6 200927
7 202020
8 200920
9 201316
10 202015
11 201015
12 202015
13 200915
14 202014
15 202013
16 202313
17 201013
18 202012
19 202311
20 202111

About David Vallejo

David Vallejo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Rehabilitation, Human-Computer Interaction and Signal Processing, having authored 68 papers that have together received 588 indexed citations. Recurring topics across this work include Stroke Rehabilitation and Recovery (16 papers), Virtual Reality Applications and Impacts (10 papers), Augmented Reality Applications (10 papers), Anomaly Detection Techniques and Applications (9 papers), Video Surveillance and Tracking Methods (7 papers), Teaching and Learning Programming (6 papers), Data Management and Algorithms (5 papers) and Human Pose and Action Recognition (4 papers). The work is most often cited by research in Human-Computer Interaction (76 citations), Computer Science Applications (66 citations), Rehabilitation (57 citations), Computer Vision and Pattern Recognition (180 citations) and Developmental and Educational Psychology (77 citations). David Vallejo has collaborated with scholars based in Spain, United Kingdom and Austria. Frequent co-authors include J.J. Castro-Schez, C. Glez-Morcillo, Javier Albusac, Luis Jiménez, Miguel Á. Redondo, Dorothy Monekosso, Ana I. Molina, Carmen Lacave, Paolo Remagnino and Luis Rodríguez-Benítez. Their work appears in journals such as IEEE Access, Expert Systems with Applications, Applied Sciences, Multimedia Tools and Applications and Engineering Applications of Artificial Intelligence.

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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