Erik Macho
Impact in
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- Robotic Mechanisms and Dynamics
- Robot Manipulation and Learning
- Dynamics and Control of Mechanical Systems
- Piezoelectric Actuators and Control
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- Manufacturing Process and Optimization
Papers in
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- Robotic Mechanisms and Dynamics 16
- Robot Manipulation and Learning 6
- Dynamics and Control of Mechanical Systems 4
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- Muscle activation and electromyography studies 3
- Advanced Surface Polishing Techniques 3
- Co-authors
- Óscar Altuzarra (10 shared papers)A. Hernández (12 shared papers)Víctor Petuya (10 shared papers)Charles Pinto (10 shared papers)Enrique Amezua (2 shared papers)Francisco J. Campa (6 shared papers)Zhen Zhang (1 shared paper)
- Journals
- Applied Sciences (3 papers)Journal of Mechanisms and Robotics (3 papers)Robotica (2 papers)Mechanism and Machine Theory (2 papers)Sensors (2 papers)
- Partner nations
- SpainChinaUnited States
In The Last Decade
Erik Macho
21 papers receiving 218 citations
Peers
Comparison fields: 5 of 40
- Control and Systems Engineering 165
- Industrial and Manufacturing Engineering 38
- Mechanical Engineering 61
- Biomedical Engineering 69
- Computer Vision and Pattern Recognition 25
Countries citing papers authored by Erik Macho
This map shows the geographic impact of Erik Macho'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 Erik Macho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erik Macho more than expected).
Fields of papers citing papers by Erik Macho
This network shows the impact of papers produced by Erik Macho. 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 Erik Macho. The network helps show where Erik Macho may publish in the future.
Co-authors
The 7 scholars most cited alongside Erik Macho, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 43 | |
| 2 | 2008 | 41 | |
| 3 | 2009 | 30 | |
| 4 | 2014 | 18 | |
| 5 | 2013 | 17 | |
| 6 | 2009 | 17 | |
| 7 | 2021 | 13 | |
| 8 | 2020 | 10 | |
| 9 | 2012 | 6 | |
| 10 | 2024 | 5 | |
| 11 | 2011 | 3 | |
| 12 | 2012 | 3 | |
| 13 | 2010 | 3 | |
| 14 | 2024 | 3 | |
| 15 | 2017 | 3 | |
| 16 | 2011 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2018 | 2 | |
| 19 | 2025 | 2 | |
| 20 | 2019 | 1 |
About Erik Macho
Erik Macho is a scholar working on Control and Systems Engineering, Biomedical Engineering, Industrial and Manufacturing Engineering, Mechanical Engineering and Physical Therapy, Sports Therapy and Rehabilitation, having authored 22 papers that have together received 226 indexed citations. Recurring topics across this work include Robotic Mechanisms and Dynamics (16 papers), Manufacturing Process and Optimization (7 papers), Robot Manipulation and Learning (6 papers), Dynamics and Control of Mechanical Systems (4 papers), Mechanical Engineering and Vibrations Research (4 papers), Balance, Gait, and Falls Prevention (4 papers), Muscle activation and electromyography studies (3 papers) and Advanced Surface Polishing Techniques (3 papers). The work is most often cited by research in Control and Systems Engineering (165 citations), Industrial and Manufacturing Engineering (38 citations), Mechanical Engineering (61 citations), Biomedical Engineering (69 citations) and Computer Vision and Pattern Recognition (25 citations). Erik Macho has collaborated with scholars based in Spain, China and United States. Frequent co-authors include Óscar Altuzarra, A. Hernández, Víctor Petuya, Charles Pinto, Enrique Amezua, Francisco J. Campa and Zhen Zhang. Their work appears in journals such as Applied Sciences, Journal of Mechanisms and Robotics, Robotica, Mechanism and Machine Theory and Sensors.
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.