Lars Mikelsons

811 citations
47 papers · 619 · h-index 10

Impact in

Papers in

Lars Mikelsons

43 papers receiving 601 citations

Peers

Lars Mikelsons
Comparison fields: 5 of 54
  • Control and Systems Engineering 386
  • Computational Theory and Mathematics 127
  • Industrial and Manufacturing Engineering 22
  • Automotive Engineering 19
  • Safety, Risk, Reliability and Quality 12
Replace Rüdiger Franke with:
Rüdiger Franke Germany
Alejandro Rodríguez-Molina Mexico
Peter C. Breedveld Netherlands
Daniel Bouskela France
Jinhong Wu China
Michael G. Forbes Canada
Dag Fritzson Sweden
Shuning Wang China
Miguel Ángel Naya Spain
Jochen Schaffnit Germany
Lars Mikelsons relative to Rüdiger Franke Germany Rüdiger Franke's profile →
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Citations per year

Countries citing papers authored by Lars Mikelsons

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 15 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.

Border = papers with Lars Mikelsons Line = papers co-authored together Lars Mikelsons links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020130
2 2009120
3 200896
4 200858
5 200723
6 200818
7 201917
8 201414
9 200713
10 201712
11 20098
12 20087
13 20097
14 20147
15 20227
16 20116
17 20126
18 20216
19 20226
20 20236

About Lars Mikelsons

Lars Mikelsons is a scholar working on Computational Theory and Mathematics, Control and Systems Engineering, Automotive Engineering, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 47 papers that have together received 619 indexed citations. Recurring topics across this work include Modeling and Simulation Systems (20 papers), Robotic Mechanisms and Dynamics (10 papers), Autonomous Vehicle Technology and Safety (4 papers), Vehicle Dynamics and Control Systems (3 papers), Gaussian Processes and Bayesian Inference (3 papers), Model Reduction and Neural Networks (3 papers), Real-time simulation and control systems (3 papers) and Robot Manipulation and Learning (3 papers). The work is most often cited by research in Control and Systems Engineering (386 citations), Computational Theory and Mathematics (127 citations), Industrial and Manufacturing Engineering (22 citations), Automotive Engineering (19 citations) and Safety, Risk, Reliability and Quality (12 citations). Lars Mikelsons has collaborated with scholars based in Germany, Sweden and Austria. Frequent co-authors include Tobias Brückmann, Dieter Hermann Schramm, Manfred Hiller, Andreas Pott, Peter Baumann, André Zimmermann, Josef Zehetner, Frank Ole Flemisch, Hongchao Ji and Moustafa Abdel‐Maksoud. Their work appears in journals such as Electronics, Advanced Modeling and Simulation in Engineering Sciences, Neurocomputing, Applied Intelligence and Multibody System Dynamics.

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.

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