Jairo Inga
Impact in
- Control and Systems Engineering top 10%
- Advanced Control Systems Optimization
- Robot Manipulation and Learning
- Traffic control and management
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- Adaptive Dynamic Programming Control
- Optimization and Variational Analysis
Papers in
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- Human-Automation Interaction and Safety 9
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- Advanced Control Systems Optimization 3
- Control Systems and Identification 3
- Co-authors
- Sören Hohmann (25 shared papers)Michael Flad (10 shared papers)Timothy L. Molloy (6 shared papers)Tristán Pérez (5 shared papers)Jason Ford (1 shared paper)Andrea Kiesel (2 shared papers)Sven Matthiesen (1 shared paper)Thomas Nelius (1 shared paper)
In The Last Decade
Jairo Inga
24 papers receiving 256 citations
Peers
Comparison fields: 5 of 54
- Control and Systems Engineering 106
- Computational Theory and Mathematics 70
- Social Psychology 62
- Physical Therapy, Sports Therapy and Rehabilitation 10
- Automotive Engineering 23
Countries citing papers authored by Jairo Inga
This map shows the geographic impact of Jairo Inga'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 Jairo Inga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jairo Inga more than expected).
Fields of papers citing papers by Jairo Inga
This network shows the impact of papers produced by Jairo Inga. 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 Jairo Inga. The network helps show where Jairo Inga may publish in the future.
Co-authors
The 13 scholars most cited alongside Jairo Inga, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 42 | |
| 2 | 2019 | 35 | |
| 3 | 2019 | 30 | |
| 4 | 2017 | 29 | |
| 5 | 2017 | 27 | |
| 6 | 2022 | 12 | |
| 7 | 2019 | 11 | |
| 8 | 2020 | 11 | |
| 9 | 2018 | 11 | |
| 10 | 2023 | 9 | |
| 11 | 2021 | 9 | |
| 12 | 2022 | 9 | |
| 13 | 2017 | 8 | |
| 14 | 2022 | 5 | |
| 15 | 2021 | 4 | |
| 16 | 2015 | 4 | |
| 17 | 2020 | 4 | |
| 18 | 2021 | 3 | |
| 19 | 2020 | 2 | |
| 20 | 2022 | 2 |
About Jairo Inga
Jairo Inga is a scholar working on Social Psychology, Control and Systems Engineering, Cognitive Neuroscience, Aerospace Engineering and Surgery, having authored 26 papers that have together received 273 indexed citations. Recurring topics across this work include Human-Automation Interaction and Safety (9 papers), Motor Control and Adaptation (5 papers), Healthcare Technology and Patient Monitoring (4 papers), Advanced Control Systems Optimization (3 papers), Control Systems and Identification (3 papers), Economic theories and models (3 papers), Aerospace and Aviation Technology (3 papers) and Consumer Market Behavior and Pricing (2 papers). The work is most often cited by research in Control and Systems Engineering (106 citations), Computational Theory and Mathematics (70 citations), Social Psychology (62 citations), Physical Therapy, Sports Therapy and Rehabilitation (10 citations) and Automotive Engineering (23 citations). Jairo Inga has collaborated with scholars based in Germany, Australia and Russia. Frequent co-authors include Sören Hohmann, Michael Flad, Timothy L. Molloy, Tristán Pérez, Jason Ford, Andrea Kiesel, Sven Matthiesen, Thomas Nelius, Roland Thomaschke and Gerhard Neumann. Their work appears in journals such as IEEE Transactions on Human-Machine Systems, International Journal of Human-Computer Studies, IEEE Transactions on Automatic Control, IEEE Control Systems Letters and IFAC-PapersOnLine.
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.