Diego Borro

1.1k citations
56 papers · 739 · h-index 16

Impact in

Papers in

Diego Borro

51 papers receiving 697 citations

Peers

Diego Borro
Comparison fields: 5 of 102
  • Industrial and Manufacturing Engineering 196
  • Human-Computer Interaction 97
  • Computer Vision and Pattern Recognition 283
  • Computer Graphics and Computer-Aided Design 33
  • Geology 43
Replace Dominik Henrich with:
Dominik Henrich Germany
André Crosnier France
Yary Volpe Italy
A. García‐Alonso Spain
Uli Bockholt Germany
Xiumin Fan China
Luis Pérez Spain
Sankar Jayaram United States
Sung Ho Choi South Korea
Kyeong-Beom Park South Korea
Diego Borro relative to Dominik Henrich Germany Dominik Henrich's profile →
Citations per field
00.5×2.8×
Dominik Henrich · 1×
Citations per year

Countries citing papers authored by Diego Borro

Since Specialization
Citations

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

Fields of papers citing papers by Diego Borro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200773
2 201272
3 201964
4 200463
5 202138
6 201136
7 201931
8 202124
9 200821
10 200420
11
Mobile augmented reality, an advanced tool for the construction sector
200719
12 201517
13 201417
14 200716
15 202015
16 202115
17 202113
18 201413
19 200413
20 200612

About Diego Borro

Diego Borro is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Industrial and Manufacturing Engineering, Computational Mechanics and Mechanical Engineering, having authored 56 papers that have together received 739 indexed citations. Recurring topics across this work include Augmented Reality Applications (14 papers), Robotics and Sensor-Based Localization (12 papers), Advanced Vision and Imaging (9 papers), Manufacturing Process and Optimization (8 papers), 3D Shape Modeling and Analysis (8 papers), Computer Graphics and Visualization Techniques (7 papers), Teleoperation and Haptic Systems (6 papers) and Robotic Path Planning Algorithms (6 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (196 citations), Human-Computer Interaction (97 citations), Computer Vision and Pattern Recognition (283 citations), Computer Graphics and Computer-Aided Design (33 citations) and Geology (43 citations). Diego Borro has collaborated with scholars based in Spain, United States and Australia. Frequent co-authors include Iker Aguinaga, Luis Matey, Hugo Álvarez, Emilio Sánchez, A. García‐Alonso, Jorge Juan Gil, Joan Savall, Jairo R. Sánchez, Xabier Basogain and Juan Ramón Pérez Pérez. Their work appears in journals such as The International Journal of Advanced Manufacturing Technology, IEEE Computer Graphics and Applications, Virtual Reality, Computer Vision and Image Understanding and Applied Sciences.

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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