M. Schreiber

21 papers receiving 459 citations

Peers

M. Schreiber
Comparison fields: 5 of 45
  • Fluid Flow and Transfer Processes 309
  • Computational Mechanics 344
  • Aerospace Engineering 164
  • Safety, Risk, Reliability and Quality 46
  • Radiation 37
Replace R. Hernández with:
R. Hernández Chile
Hans Seyfried Sweden
Tianhan Zhang China
C. Hassa Germany
S. A. Labuda France
Liyuan Hu China
Ramgopal Sampath Saudi Arabia
Yuan Xiong Switzerland
A. van Maaren Netherlands
Yuntong Song China
M. Schreiber relative to R. Hernández Chile R. Hernández's profile →
Citations per field
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Citations per year

Countries citing papers authored by M. Schreiber

Since Specialization
Citations

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

Fields of papers citing papers by M. Schreiber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside M. Schreiber, 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 M. Schreiber Line = papers co-authored together M. Schreiber links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199463
2 199461
3 198458
4 199652
5 199350
6 199641
7 199232
8 199229
9 199625
10 199516
11 201614
12 199712
13 19936
14 20176
15 20184
16 19974
17 20143
18 20163
19 19962
20 20152

About M. Schreiber

M. Schreiber is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes, Aerospace Engineering, Artificial Intelligence and Biomedical Engineering, having authored 21 papers that have together received 484 indexed citations. Recurring topics across this work include Combustion and flame dynamics (10 papers), Advanced Combustion Engine Technologies (10 papers), Combustion and Detonation Processes (5 papers), Natural Language Processing Techniques (4 papers), Topic Modeling (3 papers), Semantic Web and Ontologies (3 papers), Biodiesel Production and Applications (2 papers) and Atmospheric chemistry and aerosols (2 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (309 citations), Computational Mechanics (344 citations), Aerospace Engineering (164 citations), Safety, Risk, Reliability and Quality (46 citations) and Radiation (37 citations). M. Schreiber has collaborated with scholars based in Germany, United Kingdom and Netherlands. Frequent co-authors include J.F. Griffiths, K. F. Knoche, T.R. England, Kevin J. Hughes, F.M. Mann, R.E. Schenter, W. Kordylewski, David J. Rose, Michael Haug and Wessel W. Wits. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, Combustion and Flame, Applied Thermal Engineering, Experiments in Fluids and Nuclear Science and Engineering.

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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