D. Markus

52 papers receiving 548 citations

Peers

D. Markus
Comparison fields: 5 of 49
  • Fluid Flow and Transfer Processes 247
  • Computational Mechanics 352
  • Aerospace Engineering 368
  • Safety, Risk, Reliability and Quality 116
  • Statistics, Probability and Uncertainty 44
Replace Wansheng Nie with:
Wansheng Nie China
Fei Xing China
O. G. Penyazkov Belarus
Marc Bellenoue France
Chien-chia Liu Taiwan
Yu. N. Shebeko Russia
Corine Lacour France
François Falempin France
Michikata Kono Japan
Gilles Cabot France
D. Markus relative to Wansheng Nie China Wansheng Nie's profile →
Citations per field
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Citations per year

Countries citing papers authored by D. Markus

Since Specialization
Citations

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

Fields of papers citing papers by D. Markus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006107
2 201447
3 201432
4 201627
5 199726
6 201925
7 201725
8 201421
9
Ignition of explosive atmospheres by small hot particles : Comparison of experiments and simulations
201217
10 200317
11 201816
12 201615
13 201014
14 202312
15 201011
16 201910
17 202010
18 202410
19
Examination of the Flame Transmission Through Porous Structures
20089
20 20179

About D. Markus

D. Markus is a scholar working on Fluid Flow and Transfer Processes, Aerospace Engineering, Statistics, Probability and Uncertainty, Computational Mechanics and Safety, Risk, Reliability and Quality, having authored 55 papers that have together received 565 indexed citations. Recurring topics across this work include Combustion and Detonation Processes (37 papers), Combustion and flame dynamics (21 papers), Advanced Combustion Engine Technologies (13 papers), Plasma Applications and Diagnostics (10 papers), Plasma Diagnostics and Applications (10 papers), Risk and Safety Analysis (9 papers), Fire dynamics and safety research (9 papers) and Energetic Materials and Combustion (6 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (247 citations), Computational Mechanics (352 citations), Aerospace Engineering (368 citations), Safety, Risk, Reliability and Quality (116 citations) and Statistics, Probability and Uncertainty (44 citations). D. Markus has collaborated with scholars based in Germany, Belarus and Egypt. Frequent co-authors include Ulrich Maas, Robert Schießl, Rajesh Sadanandan, Holger Großhans, Mattias Richter, Marcus Aldén, Jörgen Olofsson, Hans Seyfried, Michael Beyer and Aksam Abdelkhalik. Their work appears in journals such as Journal of Loss Prevention in the Process Industries, Combustion Science and Technology, Chemie Ingenieur Technik, Proceedings of the Combustion Institute and Flow Turbulence and Combustion.

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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