Javier Ruiz‐del‐Solar

4.1k citations
143 papers · 2.1k indexed · h-index 27
Topics
Advanced Image and Video Retrieval Techniques (21 papers)Reinforcement Learning in Robotics (20 papers)Robot Manipulation and Learning (18 papers)
Partner nations
ChileGermanyNetherlands

In The Last Decade

Javier Ruiz‐del‐Solar

137 papers receiving 2.0k citations

Peers

Javier Ruiz‐del‐Solar
Comparison fields: 5 of 141
  • Computer Vision and Pattern Recognition 1.1k
  • Artificial Intelligence 440
  • Control and Systems Engineering 368
  • Biomedical Engineering 279
  • Aerospace Engineering 258
Replace Runsheng Xu with:
Runsheng Xu United States
Du Q. Huynh Australia
Caroline Pantofaru United States
Liang Zhang China
Heikki Kälviäinen Finland
Xuguang Lan China
Nikos Grammalidis Greece
Jiajun Wu United States
Micael S. Couceiro Portugal
Dario Pompili United States
Javier Ruiz‐del‐Solar relative to Runsheng Xu United States Runsheng Xu's profile →
Citations per field
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Runsheng Xu · 1×
Citations per year

Countries citing papers authored by Javier Ruiz‐del‐Solar

Since Specialization
Citations

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

Fields of papers citing papers by Javier Ruiz‐del‐Solar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Javier Ruiz‐del‐Solar. 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 Javier Ruiz‐del‐Solar. The network helps show where Javier Ruiz‐del‐Solar may publish in the future.

Co-authorship network of co-authors of Javier Ruiz‐del‐Solar

This figure shows the co-authorship network connecting the top 25 collaborators of Javier Ruiz‐del‐Solar. A scholar is included among the top collaborators of Javier Ruiz‐del‐Solar 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 Javier Ruiz‐del‐Solar. Javier Ruiz‐del‐Solar 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 0
2 2
3 4
4 7
5 13
6 1
7 1
8 17
9 4
10 14
11 16
12 1
13 13
14 32
15 20
16 63
17 3
18 32
19
Evolving visual object recognition for legged robots
1
20
Soft-Biometrics: Soft-Computing for Biometric-Applications
11

About Javier Ruiz‐del‐Solar

Javier Ruiz‐del‐Solar is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Artificial Intelligence, having authored 143 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (21 papers), Reinforcement Learning in Robotics (20 papers) and Robot Manipulation and Learning (18 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Signal Processing (207 citations) and Media Technology (144 citations). Javier Ruiz‐del‐Solar has collaborated with scholars based in Chile, Germany and Netherlands. Frequent co-authors include Rodrigo Verschae, Mauricio Correa, Patricio Loncomilla, Juan Cristóbal Zagal, Gabriel Hermosilla, Luz María Martínez, R. Avilés, Mario Köppen, Juan Pablo Lacassie and Eric Chown. 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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