Erik Prada
Impact in
- Control and Systems Engineering top 10%
- Robot Manipulation and Learning
- Robotic Mechanisms and Dynamics
- Control and Dynamics of Mobile Robots
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- Soft Robotics and Applications
- Robotic Locomotion and Control
Papers in
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- Robotic Mechanisms and Dynamics 11
- Control and Dynamics of Mobile Robots 9
- Robot Manipulation and Learning 9
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- Mechanical and Thermal Properties Analysis 14
- Modular Robots and Swarm Intelligence 6
- Co-authors
- Ivan Virgala (43 shared papers)Michal Kelemen (37 shared papers)Zdenko Bobovský (6 shared papers)Ľubica Miková (27 shared papers)Tomáš Kot (4 shared papers)Tatiana Kelemenová (16 shared papers)Marek Sukop (6 shared papers)Martin Hagara (3 shared papers)
- Journals
- Symmetry (3 papers)Sensors (2 papers)Applied Mechanics and Materials (12 papers)MM Science Journal (11 papers)Mechanism and Machine Theory (1 paper)
- Partner nations
- SlovakiaCzechiaUnited States
In The Last Decade
Erik Prada
55 papers receiving 297 citations
Peers
Comparison fields: 5 of 66
- Control and Systems Engineering 115
- Biomedical Engineering 156
- Mechanical Engineering 117
- Industrial and Manufacturing Engineering 32
- Computer Vision and Pattern Recognition 50
Countries citing papers authored by Erik Prada
This map shows the geographic impact of Erik Prada'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 Prada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erik Prada more than expected).
Fields of papers citing papers by Erik Prada
This network shows the impact of papers produced by Erik Prada. 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 Prada. The network helps show where Erik Prada may publish in the future.
Co-authors
The 25 scholars most cited alongside Erik Prada, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 48 | |
| 2 | 2020 | 30 | |
| 3 | 2013 | 21 | |
| 4 | 2024 | 17 | |
| 5 | 2014 | 14 | |
| 6 | 2020 | 14 | |
| 7 | 2015 | 13 | |
| 8 | 2021 | 9 | |
| 9 | 2021 | 8 | |
| 10 | 2021 | 7 | |
| 11 | 2012 | 7 | |
| 12 | 2018 | 6 | |
| 13 | 2021 | 5 | |
| 14 | 2021 | 5 | |
| 15 | 2013 | 5 | |
| 16 | 2012 | 5 | |
| 17 | 2012 | 5 | |
| 18 | 2021 | 5 | |
| 19 | 2015 | 4 | |
| 20 | 2015 | 4 |
About Erik Prada
Erik Prada is a scholar working on Control and Systems Engineering, Mechanical Engineering, Biomedical Engineering, Industrial and Manufacturing Engineering and Computer Vision and Pattern Recognition, having authored 60 papers that have together received 311 indexed citations. Recurring topics across this work include Mechanical and Thermal Properties Analysis (14 papers), Soft Robotics and Applications (12 papers), Robotic Path Planning Algorithms (11 papers), Robotic Mechanisms and Dynamics (11 papers), Control and Dynamics of Mobile Robots (9 papers), Robot Manipulation and Learning (9 papers), Sensor Technology and Measurement Systems (7 papers) and Modular Robots and Swarm Intelligence (6 papers). The work is most often cited by research in Control and Systems Engineering (115 citations), Biomedical Engineering (156 citations), Mechanical Engineering (117 citations), Industrial and Manufacturing Engineering (32 citations) and Computer Vision and Pattern Recognition (50 citations). Erik Prada has collaborated with scholars based in Slovakia, Czechia and United States. Frequent co-authors include Ivan Virgala, Michal Kelemen, Zdenko Bobovský, Ľubica Miková, Tomáš Kot, Tatiana Kelemenová, Marek Sukop, Martin Hagara, Pavol Božek and Roman Mykhailyshyn. Their work appears in journals such as Symmetry, Sensors, Applied Mechanics and Materials, MM Science Journal and Mechanism and Machine Theory.
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.