Pablo Ramón Soria

596 citations
20 papers · 402 indexed · h-index 12
Topics
Robotics and Sensor-Based Localization (15 papers)Robotic Path Planning Algorithms (10 papers)Robot Manipulation and Learning (5 papers)

In The Last Decade

Pablo Ramón Soria

20 papers receiving 390 citations

Peers

Pablo Ramón Soria
Comparison fields: 5 of 39
  • Aerospace Engineering 218
  • Computer Vision and Pattern Recognition 190
  • Control and Systems Engineering 124
  • Mechanical Engineering 79
  • Biomedical Engineering 78
Replace Marco Tranzatto with:
Marco Tranzatto Switzerland
Christoph Hürzeler Switzerland
Markus Eich Germany
Mihir Dharmadhikari Norway
Huan Nguyen Norway
Leijian Yu United Kingdom
Marius Beul Germany
Francisco J. Pérez-Grau Spain
Yoji KURODA Japan
Mihir Kulkarni Norway
Pablo Ramón Soria relative to Marco Tranzatto Switzerland Marco Tranzatto's profile →
Citations per field
00.5×10.5×
Marco Tranzatto · 1×
Citations per year

Countries citing papers authored by Pablo Ramón Soria

Since Specialization
Citations

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

Fields of papers citing papers by Pablo Ramón Soria

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pablo Ramón Soria. 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 Pablo Ramón Soria. The network helps show where Pablo Ramón Soria may publish in the future.

Co-authorship network of co-authors of Pablo Ramón Soria

This figure shows the co-authorship network connecting the top 25 collaborators of Pablo Ramón Soria. A scholar is included among the top collaborators of Pablo Ramón Soria 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 Pablo Ramón Soria. Pablo Ramón Soria 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 16
2 1
3 7
4 7
5 19
6 10
7 11
8 9
9 9
10 31
11 21
12 65
13 2
14 36
15 9
16 42
17 48
18 12
19 28
20 19

About Pablo Ramón Soria

Pablo Ramón Soria is a scholar working on Geology, Aerospace Engineering and Computer Vision and Pattern Recognition, having authored 20 papers that have together received 402 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (15 papers), Robotic Path Planning Algorithms (10 papers) and Robot Manipulation and Learning (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (190 citations), Aerospace Engineering (218 citations) and Geology (39 citations). Pablo Ramón Soria has collaborated with scholars based in Spain, Australia and Switzerland. Frequent co-authors include Anı́bal Ollero, Begoña C. Arrue, Guillermo Heredia, Pedro J. Sanchez-Cuevas, Alejandro Suárez, Robert Fitch, Salah Sukkarieh, Arturo Torres‐González, Jesús Capitán and Aleš Ude. Their work appears in journals such as Sensors, IEEE Robotics and Automation Letters and Engineering.

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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