Pablo Gil

83 papers receiving 1.2k citations

Peers

Pablo Gil
Comparison fields: 5 of 113
  • Media Technology 222
  • Industrial and Manufacturing Engineering 203
  • Control and Systems Engineering 280
  • Computer Vision and Pattern Recognition 240
  • Computer Science Applications 61
Replace Pengfei Shi with:
Pengfei Shi China
Dequan Wang China
Mohd Marzuki Mustafa Malaysia
Davide Moroni Italy
Wen‐Tsai Sung Taiwan
Fahd N. Al‐Wesabi Saudi Arabia
Ryan Rhay P. Vicerra Philippines
Liangzhi Li Japan
Doyen Sahoo Singapore
Juan Carlos López Spain
Pablo Gil relative to Pengfei Shi China Pengfei Shi's profile →
Citations per field
00.5×4.6×
Pengfei Shi · 1×
Citations per year

Countries citing papers authored by Pablo Gil

Since Specialization
Citations

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

Fields of papers citing papers by Pablo Gil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018125
2 1992111
3 200471
4 201871
5
A virtual laboratory for teaching robotics
200366
6 201965
7 200753
8 200453
9
Experiences with Virtual Environment and Remote Laboratory for Teaching and Learning Robotics at the University of Alicante
200640
10 201938
11 201832
12 201828
13 201924
14 201122
15 201722
16 201919
17 201518
18 197918
19 201416
20 201716

About Pablo Gil

Pablo Gil is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Aerospace Engineering, Biomedical Engineering and Media Technology, having authored 92 papers that have together received 1.2k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (27 papers), Robotics and Sensor-Based Localization (18 papers), Advanced Vision and Imaging (11 papers), Tactile and Sensory Interactions (10 papers), Experimental Learning in Engineering (10 papers), Oil Spill Detection and Mitigation (8 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Advanced Sensor and Energy Harvesting Materials (7 papers). The work is most often cited by research in Media Technology (222 citations), Industrial and Manufacturing Engineering (203 citations), Control and Systems Engineering (280 citations), Computer Vision and Pattern Recognition (240 citations) and Computer Science Applications (61 citations). Pablo Gil has collaborated with scholars based in Spain, France and United Kingdom. Frequent co-authors include Fernando Torres, Jorge Pomares, Antonio‐Javier Gallego, Antonio Pertusa, Santiago Timoteo Puente Méndez, Francisco A. Candelas-Herías, Juan Capel, Chris Somerville, José M. Martínez‐Zapater and Robert B. Fisher. Their work appears in journals such as Sensors, The International Journal of Advanced Manufacturing Technology, Remote Sensing, Robotics and Advanced Robotics.

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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