Martin Geier
- Computational Mechanics top 0.5%
- Electrical and Electronic Engineering top 5%
- Aerospace Engineering top 5%
- Environmental Engineering top 10%
- Biomedical Engineering
- Co-authors
- Manfred KrafczykMartin SchönherrAndrea PasqualiJan G. KorvinkAndreas GreinerAbbas FakhariTaehun LeeMaik Stiebler
- Topics
- Lattice Boltzmann Simulation Studies (45 papers)Fluid Dynamics and Turbulent Flows (19 papers)Aerosol Filtration and Electrostatic Precipitation (18 papers)
- Journals
- Journal of Computational PhysicsComputer Methods in Applied Mechanics and EngineeringComputer Physics Communications
- Partner nations
- GermanyUnited StatesItaly
In The Last Decade
Martin Geier
48 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 69
- Computational Mechanics 1.9k
- Electrical and Electronic Engineering 792
- Aerospace Engineering 399
- Environmental Engineering 133
- Biomedical Engineering 132
Countries citing papers authored by Martin Geier
This map shows the geographic impact of Martin Geier'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 Martin Geier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Geier more than expected).
Fields of papers citing papers by Martin Geier
This network shows the impact of papers produced by Martin Geier. 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 Martin Geier. The network helps show where Martin Geier may publish in the future.
Co-authorship network of co-authors of Martin Geier
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Geier. A scholar is included among the top collaborators of Martin Geier based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Martin Geier. Martin Geier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 6 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 30 | |
| 6 | 16 | |
| 7 | 66 | |
| 8 | 37 | |
| 9 | 89 | |
| 10 | 130 | |
| 11 | 37 | |
| 12 | 30 | |
| 13 | 182 | |
| 14 | 124 | |
| 15 | Towards Direct Numerical Simulation of mass and energy fluxes at the soil-atmospheric interface with advanced Lattice Boltzmann methods | 1 |
| 16 | 29 | |
| 17 | 94 | |
| 18 | 75 | |
| 19 | 26 | |
| 20 | 317 |
About Martin Geier
Martin Geier is a scholar working on Computational Mechanics, Electrical and Electronic Engineering and Computer Graphics and Computer-Aided Design, having authored 52 papers that have together received 2.1k indexed citations. Recurring topics across this work include Lattice Boltzmann Simulation Studies (45 papers), Fluid Dynamics and Turbulent Flows (19 papers) and Aerosol Filtration and Electrostatic Precipitation (18 papers). The work is most often cited by research in Computational Mechanics (1.9k citations), Aerospace Engineering (399 citations) and Electrical and Electronic Engineering (792 citations). Martin Geier has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Manfred Krafczyk, Martin Schönherr, Andrea Pasquali, Jan G. Korvink, Andreas Greiner, Abbas Fakhari, Taehun Lee, Maik Stiebler, Andreas Greiner and Diogo Bolster. Their work appears in journals such as Journal of Computational Physics, Computer Methods in Applied Mechanics and Engineering and Computer Physics Communications.
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.