Gerd Gaiselmann
Impact in
- Automotive Engineering top 10%
- Advanced Battery Technologies Research
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- Electrocatalysts for Energy Conversion
Papers in
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- Lattice Boltzmann Simulation Studies 3
- Heat transfer and supercritical fluids 2
- Co-authors
- Volker Schmidt (16 shared papers)Werner Lehnert (10 shared papers)Ingo Manke (10 shared papers)Christian Tötzke (5 shared papers)Matthias Neumann (3 shared papers)Thomas LH Hocker (2 shared papers)Lorenz Holzer (2 shared papers)Omar Pecho (1 shared paper)
- Journals
- Computational Materials Science (4 papers)Journal of Power Sources (4 papers)ESAIM Probability and Statistics (1 paper)International Journal of Hydrogen Energy (1 paper)Image Analysis & Stereology (1 paper)
- Partner nations
- GermanySwitzerlandSouth Korea
In The Last Decade
Gerd Gaiselmann
24 papers receiving 657 citations
Peers
Comparison fields: 5 of 74
- Automotive Engineering 120
- Renewable Energy, Sustainability and the Environment 152
- Electrical and Electronic Engineering 376
- Structural Biology 9
- Computational Mechanics 125
Countries citing papers authored by Gerd Gaiselmann
This map shows the geographic impact of Gerd Gaiselmann'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 Gerd Gaiselmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerd Gaiselmann more than expected).
Fields of papers citing papers by Gerd Gaiselmann
This network shows the impact of papers produced by Gerd Gaiselmann. 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 Gerd Gaiselmann. The network helps show where Gerd Gaiselmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Gerd Gaiselmann, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 108 | |
| 2 | 2014 | 91 | |
| 3 | 2014 | 61 | |
| 4 | 2012 | 45 | |
| 5 | 2016 | 42 | |
| 6 | 2012 | 41 | |
| 7 | 2013 | 39 | |
| 8 | 2022 | 31 | |
| 9 | 2016 | 31 | |
| 10 | 2013 | 27 | |
| 11 | 2016 | 25 | |
| 12 | 2013 | 21 | |
| 13 | 2014 | 19 | |
| 14 | 2014 | 18 | |
| 15 | 2015 | 17 | |
| 16 | 2013 | 13 | |
| 17 | 2014 | 10 | |
| 18 | 2022 | 8 | |
| 19 | 2017 | 7 | |
| 20 | 2014 | 5 |
About Gerd Gaiselmann
Gerd Gaiselmann is a scholar working on Computational Mechanics, Mechanical Engineering, Materials Chemistry, Automotive Engineering and Electrical and Electronic Engineering, having authored 24 papers that have together received 667 indexed citations. Recurring topics across this work include Fuel Cells and Related Materials (6 papers), Aluminum Alloy Microstructure Properties (3 papers), Lattice Boltzmann Simulation Studies (3 papers), Advancements in Solid Oxide Fuel Cells (2 papers), Asphalt Pavement Performance Evaluation (2 papers), Heat transfer and supercritical fluids (2 papers), Solidification and crystal growth phenomena (2 papers) and Digital Image Processing Techniques (2 papers). The work is most often cited by research in Automotive Engineering (120 citations), Renewable Energy, Sustainability and the Environment (152 citations), Electrical and Electronic Engineering (376 citations), Structural Biology (9 citations) and Computational Mechanics (125 citations). Gerd Gaiselmann has collaborated with scholars based in Germany, Switzerland and South Korea. Frequent co-authors include Volker Schmidt, Werner Lehnert, Ingo Manke, Christian Tötzke, Matthias Neumann, Thomas LH Hocker, Lorenz Holzer, Omar Pecho, Dieter Froning and Volker Schmidt. Their work appears in journals such as Computational Materials Science, Journal of Power Sources, ESAIM Probability and Statistics, International Journal of Hydrogen Energy and Image Analysis & Stereology.
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.