V. Javier Traver

826 total citations
44 papers, 499 citations indexed

About

V. Javier Traver is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, V. Javier Traver has authored 44 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 8 papers in Cognitive Neuroscience and 7 papers in Artificial Intelligence. Recurrent topics in V. Javier Traver's work include Advanced Vision and Imaging (6 papers), Robotics and Sensor-Based Localization (5 papers) and Emotion and Mood Recognition (4 papers). V. Javier Traver is often cited by papers focused on Advanced Vision and Imaging (6 papers), Robotics and Sensor-Based Localization (5 papers) and Emotion and Mood Recognition (4 papers). V. Javier Traver collaborates with scholars based in Spain, Luxembourg and Denmark. V. Javier Traver's co-authors include Filiberto Pla, Alexandre Bernardino, P. Carmona, Ángel P. del Pobil, J. Salvador Sánchez, Enrique Tajahuerce, Bahram Javidi, Luis A. Leiva, Dima Damen and Raúl Montoliu and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Sensors.

In The Last Decade

V. Javier Traver

39 papers receiving 474 citations

Peers

V. Javier Traver
Comparison fields: 5 of 85
  • Computer Vision and Pattern Recognition 234
  • Media Technology 103
  • Aerospace Engineering 66
  • Artificial Intelligence 61
  • Information Systems 55
Replace Zengzhao Chen with:
Zengzhao Chen China
John Weng United States
Jie Yan China
Richard Mann Canada
Xosé M. Pardo Spain
Vassilios Vonikakis Singapore
Jie Zou China
Amar Aggoun United Kingdom
Margaret M. Fleck United States
Francisco Barranco Spain
Zengzhao Chen China View profile →
Citations per field, relative to V. Javier Traver
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Citations per year, relative to V. Javier Traver
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Countries citing papers authored by V. Javier Traver

Since Specialization
Citations

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

Fields of papers citing papers by V. Javier Traver

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by V. Javier Traver. 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 V. Javier Traver. The network helps show where V. Javier Traver may publish in the future.

Co-authorship network of co-authors of V. Javier Traver

This figure shows the co-authorship network connecting the top 25 collaborators of V. Javier Traver. A scholar is included among the top collaborators of V. Javier Traver 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 V. Javier Traver. V. Javier Traver 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
# Work Indexed citations
1 3
2 2
3 9
4 5
5 18
6 4
7 10
8 1
9 1
10 66
11 2
12 16
13 2
14
Dedicación de los estudiantes en un contexto de aprendizaje cooperativo basado en proyectos: medición, análisis e implicaciones
2
15
Efficient tracking of objects with arbitrary 2D motions in space-variant imagery
2
16 11
17 4
18 3
19 0
20
Valoración de «Filosofía para Niños»: un programa de enseñar a pensar
2

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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