Diego Pardo

2.2k citations
43 papers · 448 · h-index 12

Impact in

Papers in

Diego Pardo

39 papers receiving 433 citations

Peers

Diego Pardo
Comparison fields: 5 of 78
  • Control and Systems Engineering 162
  • Biomedical Engineering 198
  • Astronomy and Astrophysics 38
  • Computer Vision and Pattern Recognition 47
  • Atomic and Molecular Physics, and Optics 71
Replace Akira Taniguchi with:
Akira Taniguchi Japan
Shogo Makino Japan
G. Orengo Italy
Suguru Saito Japan
Kent Yoshikawa Japan
Haitao Wang China
Akihito Ogawa Japan
Rui Feng China
Panagiotis Vartholomeos Greece
Jason M. Sanders United States
Diego Pardo relative to Akira Taniguchi Japan Akira Taniguchi's profile →
Citations per field
00.5×2.9×
Akira Taniguchi · 1×
Citations per year

Countries citing papers authored by Diego Pardo

Since Specialization
Citations

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

Fields of papers citing papers by Diego Pardo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201378
2 201756
3 201134
4 201733
5 201723
6 199322
7 201419
8 201717
9 200817
10 201116
11 201915
12 201513
13 20158
14 20157
15 20147
16 20116
17 20186
18 20096
19 19946
20 19866

About Diego Pardo

Diego Pardo is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Astronomy and Astrophysics, Control and Systems Engineering and Atomic and Molecular Physics, and Optics, having authored 43 papers that have together received 448 indexed citations. Recurring topics across this work include Superconducting and THz Device Technology (10 papers), Terahertz technology and applications (10 papers), Semiconductor Quantum Structures and Devices (8 papers), Radio Frequency Integrated Circuit Design (8 papers), Spectroscopy and Laser Applications (6 papers), Robotic Locomotion and Control (5 papers), Advancements in Semiconductor Devices and Circuit Design (4 papers) and Robot Manipulation and Learning (3 papers). The work is most often cited by research in Control and Systems Engineering (162 citations), Biomedical Engineering (198 citations), Astronomy and Astrophysics (38 citations), Computer Vision and Pattern Recognition (47 citations) and Atomic and Molecular Physics, and Optics (71 citations). Diego Pardo has collaborated with scholars based in Spain, Italy and United Kingdom. Frequent co-authors include Jonas Buchli, Farbod Farshidian, Alexander Winkler, Michael Neunert, Adrià Colomé, Carme Torras, Guillem Alenyà, Cecilio Ángulo, Jesús Grajal and T. González. Their work appears in journals such as Semiconductor Science and Technology, IEEE Robotics and Automation Letters, IEEE Transactions on Terahertz Science and Technology, Neurocomputing and Optics Express.

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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