Robert Großmann
Impact in
- Condensed Matter Physics top 2%
- Micro and Nano Robotics
- Modeling and Simulation top 5%
- Fractional Differential Equations Solutions
Papers in
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- Micro and Nano Robotics 22
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- Fractional Differential Equations Solutions 4
- Co-authors
- Fernando Peruani (9 shared papers)Markus Bär (5 shared papers)Paweł Romańczuk (4 shared papers)Sebastian Heidenreich (1 shared paper)Lutz Schimansky-Geier (3 shared papers)Carsten Beta (10 shared papers)Markus Bär (1 shared paper)Marco J. Kühn (1 shared paper)
In The Last Decade
Robert Großmann
22 papers receiving 829 citations
Peers
Comparison fields: 5 of 49
- Condensed Matter Physics 637
- Modeling and Simulation 69
- Statistical and Nonlinear Physics 92
- Computer Networks and Communications 110
- Cell Biology 54
Countries citing papers authored by Robert Großmann
This map shows the geographic impact of Robert Großmann'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 Robert Großmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Großmann more than expected).
Fields of papers citing papers by Robert Großmann
This network shows the impact of papers produced by Robert Großmann. 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 Robert Großmann. The network helps show where Robert Großmann may publish in the future.
Co-authors
The 19 scholars most cited alongside Robert Großmann, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 216 | |
| 2 | 2014 | 87 | |
| 3 | 2020 | 72 | |
| 4 | 2017 | 58 | |
| 5 | 2012 | 57 | |
| 6 | 2013 | 54 | |
| 7 | 2020 | 45 | |
| 8 | 2016 | 40 | |
| 9 | 2016 | 40 | |
| 10 | 2016 | 28 | |
| 11 | 2015 | 27 | |
| 12 | 2018 | 24 | |
| 13 | 2024 | 24 | |
| 14 | 2015 | 16 | |
| 15 | 2022 | 12 | |
| 16 | 2024 | 11 | |
| 17 | 2020 | 6 | |
| 18 | 2022 | 6 | |
| 19 | 2022 | 5 | |
| 20 | 2023 | 3 |
About Robert Großmann
Robert Großmann is a scholar working on Condensed Matter Physics, Modeling and Simulation, Statistical and Nonlinear Physics, Mathematical Physics and Cell Biology, having authored 24 papers that have together received 835 indexed citations. Recurring topics across this work include Micro and Nano Robotics (22 papers), Fractional Differential Equations Solutions (4 papers), stochastic dynamics and bifurcation (2 papers), Control Systems and Identification (1 paper), Stochastic processes and statistical mechanics (1 paper), Advanced Thermodynamics and Statistical Mechanics (1 paper), Orbital Angular Momentum in Optics (1 paper) and Bacterial Genetics and Biotechnology (1 paper). The work is most often cited by research in Condensed Matter Physics (637 citations), Modeling and Simulation (69 citations), Statistical and Nonlinear Physics (92 citations), Computer Networks and Communications (110 citations) and Cell Biology (54 citations). Robert Großmann has collaborated with scholars based in Germany, France and Japan. Frequent co-authors include Fernando Peruani, Markus Bär, Paweł Romańczuk, Sebastian Heidenreich, Lutz Schimansky-Geier, Carsten Beta, Markus Bär, Marco J. Kühn, Kai M. Thormann and Ralf Metzler. Their work appears in journals such as Physical review. E, New Journal of Physics, Physical Review Letters, The European Physical Journal Special Topics and Scientific Reports.
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.