Peter Priesching

468 total citations
38 papers, 392 citations indexed

About

Peter Priesching is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics and Biomedical Engineering. According to data from OpenAlex, Peter Priesching has authored 38 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Fluid Flow and Transfer Processes, 28 papers in Computational Mechanics and 15 papers in Biomedical Engineering. Recurrent topics in Peter Priesching's work include Advanced Combustion Engine Technologies (29 papers), Combustion and flame dynamics (26 papers) and Biodiesel Production and Applications (9 papers). Peter Priesching is often cited by papers focused on Advanced Combustion Engine Technologies (29 papers), Combustion and flame dynamics (26 papers) and Biodiesel Production and Applications (9 papers). Peter Priesching collaborates with scholars based in Austria, Croatia and Czechia. Peter Priesching's co-authors include Reinhard Tatschl, Milan Vujanović, Neven Duić, Hrvoje Mikulčić, Eberhard von Berg, Jan Macek, Oldřich Vítek, Dimitris Fidaros, Gordana Stefanović and Martin Gasser and has published in prestigious journals such as SHILAP Revista de lepidopterología, Energy and Fuel.

In The Last Decade

Peter Priesching

36 papers receiving 362 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Peter Priesching Austria 11 215 200 119 83 81 38 392
Xiaoxiao Sun United Kingdom 12 253 1.2× 310 1.6× 75 0.6× 75 0.9× 161 2.0× 48 715
A. Gallegos-Muñoz Mexico 13 72 0.3× 137 0.7× 113 0.9× 25 0.3× 219 2.7× 41 480
Miguel A. Reyes-Belmonte Spain 15 140 0.7× 148 0.7× 110 0.9× 51 0.6× 541 6.7× 42 842
Giovanni Vorraro Italy 14 176 0.8× 96 0.5× 63 0.5× 144 1.7× 111 1.4× 40 384
Carlo Villante Italy 13 167 0.8× 89 0.4× 42 0.4× 214 2.6× 203 2.5× 44 563
Antonio Mittica Italy 15 467 2.2× 238 1.2× 100 0.8× 295 3.6× 107 1.3× 48 583
Bin Zheng China 9 153 0.7× 88 0.4× 81 0.7× 94 1.1× 145 1.8× 39 422
Luciano Rolando Italy 15 234 1.1× 105 0.5× 44 0.4× 599 7.2× 49 0.6× 52 723
Qingyang Wang China 11 41 0.2× 76 0.4× 25 0.2× 81 1.0× 99 1.2× 45 289
Muhammad Mahabat Khan Pakistan 16 55 0.3× 185 0.9× 118 1.0× 30 0.4× 697 8.6× 50 892

Countries citing papers authored by Peter Priesching

Since Specialization
Citations

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

Fields of papers citing papers by Peter Priesching

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Priesching

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Priesching. A scholar is included among the top collaborators of Peter Priesching 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 Peter Priesching. Peter Priesching is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Coelho, Pedro J., et al.. (2022). Implementation of the spectral line‐based weighted‐sum‐of‐gray‐gases model in the finite volume method for radiation modeling in internal combustion engines. International Journal of Energy Research. 46(14). 20265–20278. 1 indexed citations
2.
Priesching, Peter, et al.. (2019). SI Engine Combustion and Knock Modelling Using Detailed Fuel Surrogate Models and Tabulated Chemistry. SAE technical papers on CD-ROM/SAE technical paper series. 1. 8 indexed citations
3.
Vítek, Oldřich, et al.. (2019). Application of Tabulated Detailed Chemistry to LES Model of Diesel ICE Combustion. 3 indexed citations
5.
Lauer, Thomas, et al.. (2018). Modeling the Pilot Injection and the Ignition Process of a Dual Fuel Injector with Experimental Data from a Combustion Chamber Using Detailed Reaction Kinetics. SAE technical papers on CD-ROM/SAE technical paper series. 1. 10 indexed citations
6.
Pirker, Gerhard, et al.. (2017). 3D-CFD simulation of dual fuel combustion in a diesel ignited gas engine. 1 indexed citations
7.
Petranović, Zvonimir, Wilfried Edelbauer, Milan Vujanović, et al.. (2017). Modeling of Reactive Spray Processes in DI Diesel Engines. SAE technical papers on CD-ROM/SAE technical paper series. 1. 3 indexed citations
8.
Petranović, Zvonimir, Wilfried Edelbauer, Milan Vujanović, et al.. (2016). CFD modelling of spray and combustion process using avl FIRE. 1 indexed citations
9.
Tatschl, Reinhard, et al.. (2014). A scalable simulation methodology for assessment of SI-engine performance and fuel consumption on component, subsystem and system level.
10.
Teodorczyk, A., Piotr Jaworski, Peter Priesching, & Reinhard Tatschl. (2013). A LES numerical approach for investigating the cycle-to-cycle combustion pressure variability in a direct injection gasoline engine. Silniki Spalinowe/Combustion Engines. 1 indexed citations
11.
Tatschl, Reinhard, et al.. (2013). LES Simulation of Flame Propagation in a Direct-Injection SI-Engine to Identify the Causes of Cycle-to-Cycle Combustion Variations. SAE technical papers on CD-ROM/SAE technical paper series. 1. 27 indexed citations
12.
Mikulčić, Hrvoje, et al.. (2012). CFD Analysis of a Cement Calciner for a Cleaner Cement Production. SHILAP Revista de lepidopterología. 29. 1513–1518. 5 indexed citations
13.
Vítek, Oldřich, et al.. (2012). LES Simulation of Direct Injection SI-Engine In-Cylinder Flow. SAE technical papers on CD-ROM/SAE technical paper series. 1. 20 indexed citations
14.
Mikulčić, Hrvoje, Milan Vujanović, Dimitris Fidaros, et al.. (2012). The application of CFD modelling to support the reduction of CO 2 emissions in cement industry. Energy. 45(1). 464–473. 54 indexed citations
15.
Mikulčić, Hrvoje, Eberhard von Berg, Milan Vujanović, et al.. (2011). Numerical modelling of calcination reaction mechanism for cement production. Chemical Engineering Science. 69(1). 607–615. 57 indexed citations
16.
Jaworski, Piotr, et al.. (2010). Validation of the Numerical Simulation of Iso-octane Auto-ignition Delay Time in Rapid Compression Machine with the Use of ECFM-3Z (Extended Coherent Flame Model - 3 Zones) Combustion Model Against Experimental Data. 1–14. 4 indexed citations
17.
Tatschl, Reinhard, et al.. (2007). 3D CFD Calculation of Injector Nozzle Model Flow for Standard and Alternative Fuels. 443. 8 indexed citations
18.
Doleisch, Helmut, Michael Mayer, Martin Gasser, Peter Priesching, & Helwig Hauser. (2005). Interactive Feature Specification for Simulation Data on Time-Varying Grids.. 291–304. 23 indexed citations
19.
Vujanović, Milan, et al.. (2005). A comprehensive modelling of NOx formation in combustion systems based on reduced chemical reaction mechanisms. 2 indexed citations
20.
Priesching, Peter, et al.. (2003). Detailed and Reduced Chemistry CFD Modeling of Premixed Charge Compression Ignition Engine Combustion. 9 indexed citations

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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