Bernhard Geringer

637 citations
42 papers · 500 · h-index 11

Impact in

Papers in

Bernhard Geringer

36 papers receiving 474 citations

Peers

Bernhard Geringer
Comparison fields: 5 of 42
  • Fluid Flow and Transfer Processes 367
  • Automotive Engineering 235
  • Computational Mechanics 172
  • Biomedical Engineering 200
  • Aerospace Engineering 53
Replace Daisuke Kawano with:
Daisuke Kawano Japan
Jingeun Song South Korea
Cornel Stan Germany
Osman Akın Kutlar Türkiye
Thompson Diórdinis Metzka Lanzanova Brazil
Thanos Megaritis United Kingdom
Changup Kim South Korea
Henry Ng United States
Flavio Dal Forno Chuahy United States
Chia-Fon Lee United States
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Citations per field
00.5×2×2.6×
Daisuke Kawano · 1×
Citations per year

Countries citing papers authored by Bernhard Geringer

Since Specialization
Citations

This map shows the geographic impact of Bernhard Geringer'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 Bernhard Geringer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bernhard Geringer more than expected).

Fields of papers citing papers by Bernhard Geringer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bernhard Geringer. 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 Bernhard Geringer. The network helps show where Bernhard Geringer may publish in the future.

Co-authors

The 25 scholars most cited alongside Bernhard Geringer, 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 Bernhard Geringer Line = papers co-authored together Bernhard Geringer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201599
2 201076
3 200958
4 201839
5 201635
6 201628
7 201826
8 200916
9 201916
10 201912
11 201811
12 20157
13 20186
14 20156
15 20196
16 20206
17 20105
18 20125
19 20124
20 20044

About Bernhard Geringer

Bernhard Geringer is a scholar working on Automotive Engineering, Fluid Flow and Transfer Processes, Electrical and Electronic Engineering, Computational Mechanics and Biomedical Engineering, having authored 42 papers that have together received 500 indexed citations. Recurring topics across this work include Advanced Combustion Engine Technologies (23 papers), Electric and Hybrid Vehicle Technologies (15 papers), Vehicle emissions and performance (13 papers), Combustion and flame dynamics (7 papers), Electric Vehicles and Infrastructure (6 papers), Biodiesel Production and Applications (6 papers), Advanced Battery Technologies Research (5 papers) and Engine and Fuel Emissions (4 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (367 citations), Automotive Engineering (235 citations), Computational Mechanics (172 citations), Biomedical Engineering (200 citations) and Aerospace Engineering (53 citations). Bernhard Geringer has collaborated with scholars based in Austria, Germany and United Kingdom. Frequent co-authors include Peter Hofmann, Marc Daniel, Jürgen Willand, John Williams, Hans Peter Lenz, Nikolaus Schwaiger, Matthäus Siebenhofer, Thomas Pichler, Paul Kapus and Thomas Lauer. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, MTZ - Motortechnische Zeitschrift, International Journal of Engine Research, SAE International Journal of Engines and IFAC-PapersOnLine.

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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