Lars Lindemann
Impact in
- Software top 5%
-
- Formal Methods in Verification
Papers in
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- Formal Methods in Verification 27
- Petri Nets in System Modeling 6
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- Logic, Reasoning, and Knowledge 6
- Co-authors
- Dimos V. Dimarogonas (23 shared papers)H. Hippler (5 shared papers)J. Troe (5 shared papers)George J. Pappas (13 shared papers)Ludwig Brouwer (1 shared paper)Christos K. Verginis (1 shared paper)Jana Tůmová (4 shared papers)Nikolai Matni (5 shared papers)
- Journals
- IEEE Control Systems Letters (5 papers)IEEE Robotics and Automation Letters (3 papers)Automatica (2 papers)The Journal of Physical Chemistry (2 papers)ACM Transactions on Embedded Computing Systems (2 papers)
- Partner nations
- United StatesSwedenGermany
In The Last Decade
Lars Lindemann
49 papers receiving 962 citations
Peers
Comparison fields: 5 of 69
- Software 93
- Computational Theory and Mathematics 360
- Control and Systems Engineering 302
- Physical and Theoretical Chemistry 113
- Computer Vision and Pattern Recognition 158
Countries citing papers authored by Lars Lindemann
This map shows the geographic impact of Lars Lindemann'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 Lindemann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lars Lindemann more than expected).
Fields of papers citing papers by Lars Lindemann
This network shows the impact of papers produced by Lars Lindemann. 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 Lindemann. The network helps show where Lars Lindemann may publish in the future.
Co-authors
The 25 scholars most cited alongside Lars Lindemann, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 190 | |
| 2 | 1985 | 127 | |
| 3 | 1990 | 92 | |
| 4 | 2019 | 69 | |
| 5 | 1985 | 55 | |
| 6 | 2023 | 52 | |
| 7 | 2020 | 48 | |
| 8 | 2019 | 42 | |
| 9 | 2017 | 34 | |
| 10 | 2019 | 24 | |
| 11 | 2019 | 24 | |
| 12 | 2019 | 22 | |
| 13 | 2017 | 19 | |
| 14 | 2020 | 14 | |
| 15 | 2022 | 14 | |
| 16 | 2023 | 12 | |
| 17 | 2020 | 12 | |
| 18 | 2020 | 12 | |
| 19 | 2019 | 11 | |
| 20 | 2023 | 11 |
About Lars Lindemann
Lars Lindemann is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Control and Systems Engineering, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 56 papers that have together received 1000 indexed citations. Recurring topics across this work include Formal Methods in Verification (27 papers), Advanced Control Systems Optimization (10 papers), Distributed Control Multi-Agent Systems (8 papers), Robotic Path Planning Algorithms (8 papers), Petri Nets in System Modeling (6 papers), Logic, Reasoning, and Knowledge (6 papers), Fault Detection and Control Systems (5 papers) and Advanced Chemical Physics Studies (4 papers). The work is most often cited by research in Software (93 citations), Computational Theory and Mathematics (360 citations), Control and Systems Engineering (302 citations), Physical and Theoretical Chemistry (113 citations) and Computer Vision and Pattern Recognition (158 citations). Lars Lindemann has collaborated with scholars based in United States, Sweden and Germany. Frequent co-authors include Dimos V. Dimarogonas, H. Hippler, J. Troe, George J. Pappas, Ludwig Brouwer, Christos K. Verginis, Jana Tůmová, Nikolai Matni, Xin Qin and Rahul Mangharam. Their work appears in journals such as IEEE Control Systems Letters, IEEE Robotics and Automation Letters, Automatica, The Journal of Physical Chemistry and ACM Transactions on Embedded Computing Systems.
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.