Heinz Pitsch

27.3k total citations · 8 hit papers
544 papers, 22.1k citations indexed

About

Heinz Pitsch is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes and Aerospace Engineering. According to data from OpenAlex, Heinz Pitsch has authored 544 papers receiving a total of 22.1k indexed citations (citations by other indexed papers that have themselves been cited), including 417 papers in Computational Mechanics, 354 papers in Fluid Flow and Transfer Processes and 102 papers in Aerospace Engineering. Recurrent topics in Heinz Pitsch's work include Combustion and flame dynamics (364 papers), Advanced Combustion Engine Technologies (354 papers) and Catalytic Processes in Materials Science (76 papers). Heinz Pitsch is often cited by papers focused on Combustion and flame dynamics (364 papers), Advanced Combustion Engine Technologies (354 papers) and Catalytic Processes in Materials Science (76 papers). Heinz Pitsch collaborates with scholars based in Germany, United States and China. Heinz Pitsch's co-authors include Guillaume Blanquart, Liming Cai, Nils Peters, Matthias Ihme, Michael E. Mueller, Olivier Desjardins, Antonio Attili, Venkat Raman, Helfried Steiner and Krithika Narayanaswamy and has published in prestigious journals such as Angewandte Chemie International Edition, The Journal of Chemical Physics and ACS Nano.

In The Last Decade

Heinz Pitsch

523 papers receiving 21.6k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

LARGE-EDDY SIMULATION OF TURBULENT COMBUSTION

2005 829 citations Heinz Pitsch profile →
An efficient error-propagation-based reduction method for large chemical kinetic mechanisms

2008 601 citations Heinz Pitsch et al. Combustion and Flame profile →
High order conservative finite difference scheme for variable density low Mach number turbulent flows

2008 513 citations Olivier Desjardins, Heinz Pitsch et al. profile →
Chemical mechanism for high temperature combustion of engine relevant fuels with emphasis on soot precursors

2009 421 citations Heinz Pitsch et al. Combustion and Flame profile →
Optimized chemical mechanism for combustion of gasoline surrogate fuels

2015 277 citations Liming Cai, Heinz Pitsch Combustion and Flame profile →
Understanding the antagonistic effect of methanol as a component in surrogate fuel models: A case study of methanol/n-heptane mixtures

2021 189 citations Joachim Beeckmann, Heinz Pitsch et al. Combustion and Flame profile →
Synergistic interactions of thermodiffusive instabilities and turbulence in lean hydrogen flames

2022 121 citations Lukas Berger, Antonio Attili et al. Combustion and Flame profile →
The combustion chemistry of ammonia and ammonia/hydrogen mixtures: A comprehensive chemical kinetic modeling study

2023 91 citations Heinz Pitsch et al. Combustion and Flame profile →

Peers

Countries citing papers authored by Heinz Pitsch

Since Specialization

Citations

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

Fields of papers citing papers by Heinz Pitsch

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heinz Pitsch

This figure shows the co-authorship network connecting the top 25 collaborators of Heinz Pitsch. A scholar is included among the top collaborators of Heinz Pitsch based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Heinz Pitsch. Heinz Pitsch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Interactions of preferential diffusion and mixture inhomogeneities in hydrogen and iso-octane flame kernels under engine conditions 2025 ·Combustion and Flame ·(unknown), Lukas Berger, Michael Gauding, (unknown), Heinz Pitsch	4
2	Numerical investigation of hot-spot surface ignition of hydrogen-air mixtures 2025 ·Proceedings of the Combustion Institute ·(unknown), (unknown), (unknown), (unknown), Heinz Pitsch	0
3	Multiscale simulation of spray and mixture formation for a coaxial atomizer 2024 ·International Journal of Multiphase Flow ·(unknown), Olivier Desjardins, (unknown), (unknown), Reinhold Kneer, Heinz Pitsch	0
4	On the formation of pyridine, the first nitrogen heterocyclic ring in NPAHs 2024 ·Proceedings of the Combustion Institute ·Bingjie Chen, (unknown), Peng Liu, Vasilios G. Samaras, Xingcai Lü, Xiang Gao, William L. Roberts, Heinz Pitsch	6
5	A machine learning method to predict rate constants for various reactions in combustion kinetic models 2024 ·Combustion and Flame ·(unknown), (unknown), Mingzhi Zhang, Bingjie Chen, Yingjia Zhang, Shenghua Liu, Heinz Pitsch	8
6	Thermal diffusion, exhaust gas recirculation and blending effects on lean premixed hydrogen flames 2024 ·Proceedings of the Combustion Institute ·(unknown), Marc Day, Heinz Pitsch, A.J. Aspden	9
7	Modeling homogeneous ignition processes of clustering solid particle clouds in isotropic turbulence 2024 ·Fuel ·(unknown), Hendrik Nicolai, Muhammad Usman, Lukas Berger, Antonio Attili, Michael Gauding, Christian Hasse, Heinz Pitsch	1
8	Numerical analysis and flamelet modeling of NOx formation in a thermodiffusively unstable premixed hydrogen flame at elevated-pressure conditions 2024 ·Proceedings of the Combustion Institute ·Xu Wen, Lukas Berger, Arne Scholtissek, Alessandro Parente, Christian Hasse, Heinz Pitsch	1
9	Gradient Information and Regularization for Gene Expression Programming to Develop Data-Driven Physics Closure Models 2024 ·Flow Turbulence and Combustion ·(unknown), (unknown), Abhishek Deshmukh, Temistocle Grenga, Yaomin Zhao, Heinz Pitsch, Joseph Klewicki, Richard D. Sandberg	0
10	The mixing field and flame structure near the reaction zone of turbulent planar flames at different levels of mixture inhomogeneity 2023 ·Fuel ·Abdalla M. Khedr, Ayman El‐Baz, (unknown), M.A. Zayed, (unknown), (unknown), Stephan Kruse, Yihua Ren, Heinz Pitsch, Morkous S. Mansour	6
11	Numerical analysis and flamelet modeling of NOx formation in a thermodiffusively unstable hydrogen flame 2023 ·Combustion and Flame ·Xu Wen, Lukas Berger, Florian vom Lehn, Alessandro Parente, Heinz Pitsch	13
12	Maghemite nanoparticles synthesis via spray flame synthesis and particle characterization by hole in a tube sampling and scanning mobility particle sizing (HIAT-SMPS) 2023 ·Applications in Energy and Combustion Science ·(unknown), (unknown), Oleg Prymak, (unknown), (unknown), Heinz Pitsch, Reinhold Kneer, Hans‐Joachim Schmid	4
13	Large eddy simulation of iron oxide formation in a laboratory spray flame 2023 ·Applications in Energy and Combustion Science ·(unknown), Temistocle Grenga, (unknown), Reinhold Kneer, (unknown), (unknown), Hans‐Joachim Schmid, Heinz Pitsch	7
14	Prediction of Sooting Index of Fuel Compounds for Spark-Ignition Engine Applications Based on a Machine Learning Approach 2023 ·Journal of Thermal Science ·Zhuo Chen, Florian vom Lehn, Heinz Pitsch, Liming Cai	5
15	3D-CFD RANS Methodology to Predict Engine-Out Emissions with Gasoline-Like Fuel and Methanol for a DISI Engine 2022 ·SAE International Journal of Advances and Current Practices in Mobility ·(unknown), (unknown), (unknown), (unknown), Joachim Beeckmann, Heinz Pitsch	2
16	Experimental-Based Laminar Flame Speed Approximation Formulas of Efficiency-Optimized Biofuels for SI-Engine Modeling 2022 ·SAE International Journal of Advances and Current Practices in Mobility ·(unknown), (unknown), (unknown), (unknown), Yann Fenard, Heinz Pitsch, Joachim Beeckmann	1
17	Adaptation and Engine Validation of an FTIR Exhaust Gas Analysis Method for C1-Based Potential GHG-Neutral Synthetic Fuels/Gasoline-Blends Containing Dimethyl Carbonate and Methyl Formate 2022 ·SAE technical papers on CD-ROM/SAE technical paper series ·Christoph Kraus, (unknown), (unknown), (unknown), Martin Härtl, (unknown), Georg Wachtmeister, Heinz Pitsch	13
18	Potential Analysis and Virtual Development of SI Engines Operated with Synthetic Fuel DMC+ 2020 ·SAE technical papers on CD-ROM/SAE technical paper series ·(unknown), Michael Grill, (unknown), Michael Bargende, Liming Cai, Heinz Pitsch	9
19	Nonlinear Identification Modeling for PCCI Engine Emissions Prediction Using Unsupervised Learning and Neural Networks 2020 ·SAE technical papers on CD-ROM/SAE technical paper series ·Pan Wang, (unknown), Joachim Beeckmann, Heinz Pitsch	9
20	Partially Premixed Combustion of Gasoline Type Fuels Using Larger Size Nozzle and Higher Compression Ratio in a Diesel Engine 2013 ·SAE technical papers on CD-ROM/SAE technical paper series ·(unknown), Norbert Peters, Heinz Pitsch, Nigel Tait, Gautam Kalghatgi	22

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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