Lars Mikelsons
Impact in
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- Robotic Mechanisms and Dynamics
- Real-time simulation and control systems
- Robot Manipulation and Learning
- Iterative Learning Control Systems
Papers in ⓘ
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- Real-time simulation and control systems 11
- Robotic Mechanisms and Dynamics 5
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- Modeling and Simulation Systems 12
- Co-authors
- Dieter Schramm (9 shared papers)Tobias Brückmann (6 shared papers)Manfred Hiller (5 shared papers)Andreas Hofmann (2 shared papers)Christian Schubert (1 shared paper)Peter Baumann (2 shared papers)Josef Zehetner (1 shared paper)André Zimmermann (1 shared paper)
- Journals
- Electronics (2 papers)Journal of Computational and Nonlinear Dynamics (1 paper)Applied Intelligence (1 paper)Multibody System Dynamics (1 paper)Sensors (1 paper)
- Partner nations
- GermanyNetherlandsFrance
In The Last Decade
Lars Mikelsons
31 papers receiving 190 citations
Peers
Comparison fields: 5 of 40
- Control and Systems Engineering 161
- Software 10
- Computational Theory and Mathematics 38
- Management Science and Operations Research 29
- Industrial and Manufacturing Engineering 23
Countries citing papers authored by Lars Mikelsons
This map shows the geographic impact of Lars Mikelsons'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 Lars Mikelsons with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lars Mikelsons more than expected).
Fields of papers citing papers by Lars Mikelsons
This network shows the impact of papers produced by Lars Mikelsons. 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 Lars Mikelsons. The network helps show where Lars Mikelsons may publish in the future.
Co-authors
The 20 scholars most cited alongside Lars Mikelsons, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 68 | |
| 2 | 2019 | 17 | |
| 3 | 2007 | 17 | |
| 4 | 2014 | 14 | |
| 5 | 2017 | 12 | |
| 6 | 2007 | 8 | |
| 7 | 2022 | 6 | |
| 8 | 2011 | 6 | |
| 9 | 2022 | 5 | |
| 10 | 2014 | 5 | |
| 11 | 2008 | 5 | |
| 12 | 2021 | 4 | |
| 13 | 2009 | 4 | |
| 14 | 2012 | 4 | |
| 15 | 2009 | 4 | |
| 16 | 2009 | 4 | |
| 17 | 2021 | 4 | |
| 18 | 2009 | 4 | |
| 19 | 2015 | 3 | |
| 20 | 2024 | 2 |
About Lars Mikelsons
Lars Mikelsons is a scholar working on Control and Systems Engineering, Computational Theory and Mathematics, Management Science and Operations Research, Automotive Engineering and Industrial and Manufacturing Engineering, having authored 37 papers that have together received 211 indexed citations. Recurring topics across this work include Modeling and Simulation Systems (12 papers), Real-time simulation and control systems (11 papers), Simulation Techniques and Applications (7 papers), Robotic Mechanisms and Dynamics (5 papers), Manufacturing Process and Optimization (4 papers), Model Reduction and Neural Networks (4 papers), Hydraulic and Pneumatic Systems (3 papers) and Autonomous Vehicle Technology and Safety (3 papers). The work is most often cited by research in Control and Systems Engineering (161 citations), Software (10 citations), Computational Theory and Mathematics (38 citations), Management Science and Operations Research (29 citations) and Industrial and Manufacturing Engineering (23 citations). Lars Mikelsons has collaborated with scholars based in Germany, Netherlands and France. Frequent co-authors include Dieter Schramm, Tobias Brückmann, Manfred Hiller, Andreas Hofmann, Christian Schubert, Peter Baumann, Josef Zehetner, André Zimmermann, Moustafa Abdel‐Maksoud and Andreas Pott. Their work appears in journals such as Electronics, Journal of Computational and Nonlinear Dynamics, Applied Intelligence, Multibody System Dynamics 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.