Michael Kohlmann
Impact in
- Finance top 1%
- Stochastic processes and financial applications
- Control and Systems Engineering top 10%
- Advanced Control Systems Optimization
- Stability and Control of Uncertain Systems
- Stability and Controllability of Differential Equations
Papers in
- Finance 47
- Stochastic processes and financial applications 47
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- Target Tracking and Data Fusion in Sensor Networks 3
- Reinforcement Learning in Robotics 1
- Co-authors
- Shanjian Tang (6 shared papers)Robert James Elliott (12 shared papers)Xun Yu Zhou (2 shared papers)John S. Baras (1 shared paper)Zhongxing Ye (2 shared papers)Rene K. Boel (1 shared paper)Christian Bender (1 shared paper)Raymond Rishel (1 shared paper)
In The Last Decade
Michael Kohlmann
41 papers receiving 552 citations
Peers
Comparison fields: 5 of 24
- Finance 518
- Control and Systems Engineering 92
- Numerical Analysis 12
- Mathematical Physics 26
- Applied Mathematics 30
Countries citing papers authored by Michael Kohlmann
This map shows the geographic impact of Michael Kohlmann'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 Michael Kohlmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Kohlmann more than expected).
Fields of papers citing papers by Michael Kohlmann
This network shows the impact of papers produced by Michael Kohlmann. 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 Michael Kohlmann. The network helps show where Michael Kohlmann may publish in the future.
Co-authors
The 10 scholars most cited alongside Michael Kohlmann, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 117 | |
| 2 | 2002 | 61 | |
| 3 | 2003 | 59 | |
| 4 | 1998 | 45 | |
| 5 | 1989 | 44 | |
| 6 | 1980 | 37 | |
| 7 | 2003 | 34 | |
| 8 | 1989 | 25 | |
| 9 | 2001 | 20 | |
| 10 | 1994 | 19 | |
| 11 | 1981 | 16 | |
| 12 | 1988 | 15 | |
| 13 | 1980 | 12 | |
| 14 | 1982 | 12 | |
| 15 | 1989 | 12 | |
| 16 | 1986 | 11 | |
| 17 | 2007 | 10 | |
| 18 | 2007 | 10 | |
| 19 | 2009 | 10 | |
| 20 | 1978 | 6 |
About Michael Kohlmann
Michael Kohlmann is a scholar working on Finance, Artificial Intelligence, Computational Theory and Mathematics, Mathematical Physics and Applied Mathematics, having authored 50 papers that have together received 636 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (47 papers), Target Tracking and Data Fusion in Sensor Networks (3 papers), Adaptive Dynamic Programming Control (2 papers), Control Systems and Identification (1 paper), Mathematical Dynamics and Fractals (1 paper), Reinforcement Learning in Robotics (1 paper), Nonlinear Differential Equations Analysis (1 paper) and Optimization and Variational Analysis (1 paper). The work is most often cited by research in Finance (518 citations), Control and Systems Engineering (92 citations), Numerical Analysis (12 citations), Mathematical Physics (26 citations) and Applied Mathematics (30 citations). Michael Kohlmann has collaborated with scholars based in Germany, China and Canada. Frequent co-authors include Shanjian Tang, Robert James Elliott, Xun Yu Zhou, John S. Baras, Zhongxing Ye, Rene K. Boel, Christian Bender, Raymond Rishel, Peter Renner and Mark H. Davis. Their work appears in journals such as SIAM Journal on Control and Optimization, Stochastic Processes and their Applications, International Journal of Theoretical and Applied Finance, Applied Mathematics & Optimization and Systems & Control Letters.
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.