Philipp Bekemeyer

591 citations
49 papers · 386 · h-index 13

Impact in

Papers in

Philipp Bekemeyer

41 papers receiving 368 citations

Peers

Philipp Bekemeyer
Comparison fields: 5 of 43
  • Statistics, Probability and Uncertainty 122
  • Statistical and Nonlinear Physics 186
  • Computational Mechanics 232
  • Aerospace Engineering 152
  • Computational Theory and Mathematics 37
Replace Mathieu Couplet with:
Mathieu Couplet France
Marcus Meyer Germany
Nicola Demo Italy
Emiliano Iuliano Italy
Vamshi Korivi United States
Elizabeth A. Lurie United States
Markus Widhalm Germany
Mohamed E. Eleshaky United States
Elizabeth Qian United States
C. B. Allen United Kingdom
Philipp Bekemeyer relative to Mathieu Couplet France Mathieu Couplet's profile →
Citations per field
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Citations per year

Countries citing papers authored by Philipp Bekemeyer

Since Specialization
Citations

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

Fields of papers citing papers by Philipp Bekemeyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Philipp Bekemeyer, 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 Philipp Bekemeyer Line = papers co-authored together Philipp Bekemeyer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202257
2 202334
3 202223
4 201922
5 201720
6 201919
7 202317
8 202315
9 202015
10 201615
11 202115
12 201714
13 202012
14 202211
15 202110
16 20219
17 20219
18 20176
19 20225
20 20225

About Philipp Bekemeyer

Philipp Bekemeyer is a scholar working on Statistics, Probability and Uncertainty, Computational Mechanics, Statistical and Nonlinear Physics, Aerospace Engineering and Computational Theory and Mathematics, having authored 49 papers that have together received 386 indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (28 papers), Model Reduction and Neural Networks (26 papers), Computational Fluid Dynamics and Aerodynamics (22 papers), Fluid Dynamics and Turbulent Flows (11 papers), Advanced Multi-Objective Optimization Algorithms (8 papers), Hydraulic and Pneumatic Systems (3 papers), Aeroelasticity and Vibration Control (3 papers) and Aerodynamics and Acoustics in Jet Flows (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (122 citations), Statistical and Nonlinear Physics (186 citations), Computational Mechanics (232 citations), Aerospace Engineering (152 citations) and Computational Theory and Mathematics (37 citations). Philipp Bekemeyer has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Sebastian Timme, Stefan Görtz, Ralf Heinrich, Stefan Langer, Carsten M. Liersch, Markus Widhalm, Sanjiv Sharma, Nils Hoffmann, Robert Hoppe and Roland Ewert. Their work appears in journals such as AIAA Journal, Aerospace Science and Technology, Computers & Fluids, Energies and The Aeronautical Journal.

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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