Michael Becker

44 papers receiving 461 citations

Peers

Michael Becker
Comparison fields: 5 of 79
  • Fluid Flow and Transfer Processes 142
  • Statistics and Probability 157
  • Numerical Analysis 86
  • Automotive Engineering 121
  • Applied Mathematics 101
Replace Saqib Hussain with:
Saqib Hussain Pakistan
Z. Trzaska Poland
M. C. Harrison United Kingdom
Takashi Suzuki Japan
Ali Fuat Ergenç Türkiye
Vladimir Petrov Kostov France
Yu Guo China
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Citations per field
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Citations per year

Countries citing papers authored by Michael Becker

Since Specialization
Citations

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

Fields of papers citing papers by Michael Becker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael Becker, 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 Michael Becker Line = papers co-authored together Michael Becker 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
197880
2 201075
3 197843
4 201030
5 201325
6 201923
7 201023
8 197818
9 201615
10 200615
11 201215
12 197814
13 197914
14 201113
15 20159
16 20119
17 20139
18 20138
19 20137
20 20107

About Michael Becker

Michael Becker is a scholar working on Fluid Flow and Transfer Processes, Automotive Engineering, Computational Mechanics, Aerospace Engineering and Mechanical Engineering, having authored 49 papers that have together received 513 indexed citations. Recurring topics across this work include Advanced Combustion Engine Technologies (21 papers), Vehicle emissions and performance (9 papers), Turbomachinery Performance and Optimization (6 papers), Combustion and flame dynamics (5 papers), Real-time simulation and control systems (5 papers), Refrigeration and Air Conditioning Technologies (5 papers), Technical Engine Diagnostics and Monitoring (4 papers) and Aerodynamics and Fluid Dynamics Research (4 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (142 citations), Statistics and Probability (157 citations), Numerical Analysis (86 citations), Automotive Engineering (121 citations) and Applied Mathematics (101 citations). Michael Becker has collaborated with scholars based in Brazil, Germany and United States. Frequent co-authors include Philip Keller, María Kozhevnikov, Olesya Blazhenkova, Rolf Joachim Nessel, David B. Roth, Ahmet Selamet, Wolfgang Wenzel, R. J. Nessel, Kristin Livezey and Gerd Grünefeld. Their work appears in journals such as MTZ - Motortechnische Zeitschrift, SAE technical papers on CD-ROM/SAE technical paper series, SAE International Journal of Engines, Aequationes Mathematicae and Mathematische Zeitschrift.

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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