Michael Kohlmann

1.2k citations
43 papers · 673 · h-index 12

Impact in

Papers in

Michael Kohlmann

38 papers receiving 589 citations

Peers

Michael Kohlmann
Comparison fields: 5 of 67
  • Finance 487
  • Management Science and Operations Research 181
  • Demography 148
  • Modeling and Simulation 44
  • Mathematical Physics 61
Replace Wolfgang J. Runggaldier with:
Wolfgang J. Runggaldier Italy
Bernt Øksendal Norway
Uwe Küchler Germany
Daniel Ocone United States
U. G. Haussmann Canada
Frank Proske Norway
Jin Ma United States
Huyên Pham France
J. L. Menaldi United States
Xavier Warin France
Michael Kohlmann relative to Wolfgang J. Runggaldier Italy Wolfgang J. Runggaldier's profile →
Citations per field
00.5×1.6×
Wolfgang J. Runggaldier · 1×
Citations per year

Countries citing papers authored by Michael Kohlmann

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 11 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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986121
2 2000109
3 200253
4 200350
5 199846
6 198943
7 198032
8 200330
9 198924
10 199419
11 198814
12 198912
13 198611
14 19819
15 20079
16 20099
17 19809
18 20078
19 19897
20 19897

About Michael Kohlmann

Michael Kohlmann is a scholar working on Finance, Economics and Econometrics, Management Science and Operations Research, Demography and Computational Theory and Mathematics, having authored 43 papers that have together received 673 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (33 papers), Economic theories and models (11 papers), Financial Risk and Volatility Modeling (11 papers), Insurance, Mortality, Demography, Risk Management (8 papers), Risk and Portfolio Optimization (8 papers), Stability and Controllability of Differential Equations (3 papers), Optimization and Variational Analysis (3 papers) and Advanced Mathematical Modeling in Engineering (3 papers). The work is most often cited by research in Finance (487 citations), Management Science and Operations Research (181 citations), Demography (148 citations), Modeling and Simulation (44 citations) and Mathematical Physics (61 citations). Michael Kohlmann has collaborated with scholars based in Germany, China and Canada. Frequent co-authors include Robert J. Elliott, Shanjian Tang, Xun Yu Zhou, Norbert Christopeit, Kurt Helmes, John S. Baras, Zhongxing Ye, René Boel, Christian Bender and Peter Renner. 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 Lecture notes in control and information sciences.

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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