Rafael Muñoz‐Salinas

5.3k citations
77 papers · 3.5k indexed · 3 hit papers · h-index 20
Topics
Robotics and Sensor-Based Localization (29 papers)Video Surveillance and Tracking Methods (25 papers)Human Pose and Action Recognition (18 papers)

In The Last Decade

Rafael Muñoz‐Salinas

75 papers receiving 3.4k citations

Hit Papers

Automatic generation and detection of highly reliable fid...201420262018202220142018201550010001.5k

Peers

Rafael Muñoz‐Salinas
Comparison fields: 5 of 144
  • Computer Vision and Pattern Recognition 2.2k
  • Aerospace Engineering 1.3k
  • Biomedical Engineering 507
  • Control and Systems Engineering 466
  • Human-Computer Interaction 434
Replace F.J. Madrid-Cuevas with:
F.J. Madrid-Cuevas Spain
Manuel J. Marín‐Jiménez Spain
Sergio Garrido-Jurado Spain
Sven Behnke Germany
Jun Miura Japan
Atsushi Yamashita Japan
Antonis Argyros Greece
Maren Bennewitz Germany
C. Thorpe United States
Stan Birchfield United States
Rafael Muñoz‐Salinas relative to F.J. Madrid-Cuevas Spain F.J. Madrid-Cuevas's profile →
Citations per field
00.5×1.5×
F.J. Madrid-Cuevas · 1×
Citations per year

Countries citing papers authored by Rafael Muñoz‐Salinas

Since Specialization
Citations

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

Fields of papers citing papers by Rafael Muñoz‐Salinas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rafael Muñoz‐Salinas. 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 Rafael Muñoz‐Salinas. The network helps show where Rafael Muñoz‐Salinas may publish in the future.

Co-authorship network of co-authors of Rafael Muñoz‐Salinas

This figure shows the co-authorship network connecting the top 25 collaborators of Rafael Muñoz‐Salinas. A scholar is included among the top collaborators of Rafael Muñoz‐Salinas 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 Rafael Muñoz‐Salinas. Rafael Muñoz‐Salinas 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 2
2 0
3 2
4 2
5 4
6 11
7 1
8 2
9 4
10 1
11 7
12 7
13 16
14 10
15 10
16 5
17 17
18 18
19 14
20 49

About Rafael Muñoz‐Salinas

Rafael Muñoz‐Salinas is a scholar working on Computer Vision and Pattern Recognition, Geology and Human-Computer Interaction, having authored 77 papers that have together received 3.5k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (29 papers), Video Surveillance and Tracking Methods (25 papers) and Human Pose and Action Recognition (18 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.2k citations), Human-Computer Interaction (434 citations) and Geology (374 citations). Rafael Muñoz‐Salinas has collaborated with scholars based in Spain, Luxembourg and United States. Frequent co-authors include F.J. Madrid-Cuevas, Sergio Garrido-Jurado, Manuel J. Marín‐Jiménez, R. Medina-Carnicer, Francisco J. Romero-Ramírez, A. Carmona-Poyato, Miguel García-Silvente, Eugenio Aguirre, Enrique Yeguas-Bolívar and Nicolás Guil. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Sensors.

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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