Markus Uhlmann
- Computational Mechanics top 0.2%
- Fluid Dynamics and Turbulent Flows 30
- Fluid Dynamics and Vibration Analysis 12
- Granular flow and fluidized beds 7
- Lattice Boltzmann Simulation Studies 6
- Ocean Engineering top 0.5%
- Particle Dynamics in Fluid Flows 19
- Earth-Surface Processes top 2%
- Aeolian processes and effects 14
- Environmental Engineering top 5%
- Wind and Air Flow Studies 5
- Ecology top 5%
- Hydrology and Sediment Transport Processes 8
Markus Uhlmann
47 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Computational Mechanics 2.4k
- Ocean Engineering 959
- Earth-Surface Processes 308
- Environmental Engineering 224
- Ecology 347
Countries citing papers authored by Markus Uhlmann
This map shows the geographic impact of Markus Uhlmann'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 Markus Uhlmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Uhlmann more than expected).
Fields of papers citing papers by Markus Uhlmann
This network shows the impact of papers produced by Markus Uhlmann. 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 Markus Uhlmann. The network helps show where Markus Uhlmann may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Markus Uhlmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 18 | |
| 4 | 2022 | 9 | |
| 5 | 2022 | 9 | |
| 6 | 2020 | 1 | |
| 7 | 2020 | 33 | |
| 8 | 2019 | 13 | |
| 9 | 2018 | 17 | |
| 10 | 2018 | 31 | |
| 11 | 2017 | 58 | |
| 12 | 2017 | 26 | |
| 13 | 2017 | 15 | |
| 14 | 2015 | 39 | |
| 15 | 2014 | 115 | |
| 16 | 2013 | 113 | |
| 17 | 2007 | 90 | |
| 18 | Experience with DNS of particulate flow using a variant of the immersed boundary method | 2006 | 10 |
| 19 | DNS of finite-size heavy particles in vertical turbulent channel flow | 2005 | 1 |
| 20 | 2000 | 9 |
About Markus Uhlmann
Markus Uhlmann is a scholar working on Earth-Surface Processes, Computational Mechanics, Ocean Engineering, Environmental Engineering and Applied Mathematics, having authored 48 papers that have together received 2.8k indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (30 papers), Particle Dynamics in Fluid Flows (19 papers), Aeolian processes and effects (14 papers), Fluid Dynamics and Vibration Analysis (12 papers), Hydrology and Sediment Transport Processes (8 papers), Granular flow and fluidized beds (7 papers), Lattice Boltzmann Simulation Studies (6 papers) and Wind and Air Flow Studies (5 papers). The work is most often cited by research in Computational Mechanics (2.4k citations), Ocean Engineering (959 citations), Earth-Surface Processes (308 citations), Environmental Engineering (224 citations) and Ecology (347 citations). Markus Uhlmann has collaborated with scholars based in Germany, Spain and Japan. Frequent co-authors include Genta KAWAHARA, Aman G. Kidanemariam, Alfredo Pinelli, Lennaert van Veen, Atsushi Sekimoto, Manuel García‐Villalba, Javier Jiménez, G. Fritz, Óscar Flores and Gonzalo Arranz. Their work appears in journals such as Journal of Fluid Mechanics, International Journal of Multiphase Flow, Physics of Fluids, New Journal of Physics and Journal of Computational Physics.
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.