Miguel Hernando

1.4k citations
67 papers · 925 indexed · h-index 18

Impact in

Papers in

Miguel Hernando

64 papers receiving 876 citations

Peers

Miguel Hernando
Comparison fields: 5 of 107
  • Computer Vision and Pattern Recognition 270
  • Physical Therapy, Sports Therapy and Rehabilitation 41
  • Mechanical Engineering 333
  • Control and Systems Engineering 206
  • Industrial and Manufacturing Engineering 87
Replace Alberto Brunete with:
Alberto Brunete Spain
Ernesto Gambao Spain
Giuseppe Di Gironimo Italy
Adrien Escande France
Xizhe Zang China
Peng Yang China
M.G. Rodd United Kingdom
Stanislao Grazioso Italy
Songmin Jia China
A. Valera Spain
Miguel Hernando relative to Alberto Brunete Spain Alberto Brunete's profile →
Citations per field
00.5×1.5×
Alberto Brunete · 1×
Citations per year

Countries citing papers authored by Miguel Hernando

Since Specialization
Citations

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

Fields of papers citing papers by Miguel Hernando

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017181
2 201789
3 201150
4 201748
5 200236
6 202132
7 201431
8 202026
9 201125
10 201225
11 200624
12 201223
13 200222
14 200622
15 201021
16 200620
17 202019
18 201117
19 201915
20 202114

About Miguel Hernando

Miguel Hernando is a scholar working on Mechanical Engineering, Biomedical Engineering, Control and Systems Engineering, Computer Vision and Pattern Recognition and Condensed Matter Physics, having authored 67 papers that have together received 925 indexed citations. Recurring topics across this work include Modular Robots and Swarm Intelligence (25 papers), Soft Robotics and Applications (15 papers), Robotic Path Planning Algorithms (9 papers), Micro and Nano Robotics (9 papers), Robot Manipulation and Learning (9 papers), Teleoperation and Haptic Systems (7 papers), Robotics and Sensor-Based Localization (7 papers) and Robotic Locomotion and Control (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (270 citations), Physical Therapy, Sports Therapy and Rehabilitation (41 citations), Mechanical Engineering (333 citations), Control and Systems Engineering (206 citations) and Industrial and Manufacturing Engineering (87 citations). Miguel Hernando has collaborated with scholars based in Spain, Ecuador and Finland. Frequent co-authors include Ernesto Gambao, Alberto Brunete, Diego Rodríguez-Losada, J.E. Torres, Dragoljub Šurdilović, Pablo San Segundo, Fernando Matı́a, Rafaél Aracil, Manuel Ferré and Paloma de la Puente. Their work appears in journals such as Sensors, IEEE Access, Robotics and Autonomous Systems, Soft Robotics and Optimization Letters.

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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