Martin Geier

83 total papers · 2.6k total citations
52 papers, 2.0k citations indexed

About

Martin Geier is a scholar working on Computational Mechanics, Electrical and Electronic Engineering and Aerospace Engineering. According to data from OpenAlex, Martin Geier has authored 52 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Computational Mechanics, 18 papers in Electrical and Electronic Engineering and 5 papers in Aerospace Engineering. Recurrent topics in Martin Geier's work include Lattice Boltzmann Simulation Studies (45 papers), Fluid Dynamics and Turbulent Flows (19 papers) and Aerosol Filtration and Electrostatic Precipitation (18 papers). Martin Geier is often cited by papers focused on Lattice Boltzmann Simulation Studies (45 papers), Fluid Dynamics and Turbulent Flows (19 papers) and Aerosol Filtration and Electrostatic Precipitation (18 papers). Martin Geier collaborates with scholars based in Germany, United States and Italy. Martin Geier's 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 and has published in prestigious journals such as Journal of Computational Physics, Computer Methods in Applied Mechanics and Engineering and Computer Physics Communications.

In The Last Decade

Martin Geier

48 papers receiving 2.0k citations

Hit Papers

The cumulant lattice Bolt... 2015 2026 2018 2022 2015 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Martin Geier 1.9k 786 399 132 131 52 2.0k
Dazhi Yu 1.9k 1.0× 931 1.2× 377 0.9× 64 0.5× 184 1.4× 24 2.1k
Irina Ginzburg 2.4k 1.3× 1.4k 1.7× 177 0.4× 115 0.9× 202 1.5× 43 2.6k
Takaji Inamuro 2.2k 1.2× 1.1k 1.4× 374 0.9× 44 0.3× 248 1.9× 73 2.3k
Raoyang Zhang 2.5k 1.3× 1.1k 1.4× 541 1.4× 204 1.5× 207 1.6× 49 2.8k
Jonas Lätt 1.8k 0.9× 892 1.1× 326 0.8× 68 0.5× 287 2.2× 50 2.1k
Richard O. Buckius 1.5k 0.8× 406 0.5× 462 1.2× 120 0.9× 238 1.8× 86 1.9k
Erlend Magnus Viggen 1.5k 0.8× 622 0.8× 219 0.5× 65 0.5× 291 2.2× 28 1.9k
David R. Noble 2.1k 1.1× 985 1.3× 353 0.9× 139 1.1× 207 1.6× 99 2.9k
Jie Li 1.4k 0.8× 547 0.7× 383 1.0× 63 0.5× 395 3.0× 93 2.4k
Jonas Tölke 2.0k 1.1× 910 1.2× 191 0.5× 186 1.4× 225 1.7× 37 2.4k

Countries citing papers authored by Martin Geier

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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