M. Heitsch

25 papers receiving 822 citations

Peers

M. Heitsch
Comparison fields: 5 of 50
  • Energy Engineering and Power Technology 103
  • Safety, Risk, Reliability and Quality 288
  • Aerospace Engineering 759
  • Statistics, Probability and Uncertainty 209
  • Fluid Flow and Transfer Processes 68
Replace Dmitriy Makarov with:
Dmitriy Makarov United Kingdom
D. Willoughby United Kingdom
V. Molkov United Kingdom
Marco Nicola Mario Carcassi Italy
F. Verbecke United Kingdom
Didier Jamois France
J.D. Colton United States
Mark Groethe United States
Simon Jallais France
M.R. Swain United States
M. Heitsch relative to Dmitriy Makarov United Kingdom Dmitriy Makarov's profile →
Citations per field
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Dmitriy Makarov · 1×
Citations per year

Countries citing papers authored by M. Heitsch

Since Specialization
Citations

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

Fields of papers citing papers by M. Heitsch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Best Practice Guidelines for the use of CFD in Nuclear Reactor Safety Applications
2007170
2 200995
3 201092
4 201060
5 200455
6 200450
7 201347
8 200841
9 200034
10 200733
11 200731
12 200828
13 201024
14 200723
15 201021
16 201115
17 201014
18 201010
19 20119
20 20108

About M. Heitsch

M. Heitsch is a scholar working on Aerospace Engineering, Statistics, Probability and Uncertainty, Safety, Risk, Reliability and Quality, Environmental Engineering and Computational Mechanics, having authored 25 papers that have together received 873 indexed citations. Recurring topics across this work include Combustion and Detonation Processes (20 papers), Nuclear Engineering Thermal-Hydraulics (11 papers), Risk and Safety Analysis (8 papers), Wind and Air Flow Studies (7 papers), Fire dynamics and safety research (6 papers), Nuclear Materials and Properties (3 papers), Cyclone Separators and Fluid Dynamics (3 papers) and Spacecraft and Cryogenic Technologies (3 papers). The work is most often cited by research in Energy Engineering and Power Technology (103 citations), Safety, Risk, Reliability and Quality (288 citations), Aerospace Engineering (759 citations), Statistics, Probability and Uncertainty (209 citations) and Fluid Flow and Transfer Processes (68 citations). M. Heitsch has collaborated with scholars based in Netherlands, Germany and United Kingdom. Frequent co-authors include D. Baraldi, Pietro Moretto, E. Papanikolaou, Heinz Wilkening, A.G. Venetsanos, Javier Garcı́a Garcı́a, Asmund Huser, M. Scheuerer, Mats Henriksson and Brian L. Smith. Their work appears in journals such as Nuclear Engineering and Design, International Journal of Hydrogen Energy, Journal of Hazardous Materials, Nuclear Technology and Journal of Loss Prevention in the Process Industries.

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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