Richard Pichler

924 total citations
27 papers, 734 citations indexed

About

Richard Pichler is a scholar working on Aerospace Engineering, Computational Mechanics and Mechanical Engineering. According to data from OpenAlex, Richard Pichler has authored 27 papers receiving a total of 734 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Aerospace Engineering, 24 papers in Computational Mechanics and 5 papers in Mechanical Engineering. Recurrent topics in Richard Pichler's work include Turbomachinery Performance and Optimization (25 papers), Fluid Dynamics and Turbulent Flows (20 papers) and Combustion and flame dynamics (15 papers). Richard Pichler is often cited by papers focused on Turbomachinery Performance and Optimization (25 papers), Fluid Dynamics and Turbulent Flows (20 papers) and Combustion and flame dynamics (15 papers). Richard Pichler collaborates with scholars based in Australia, Italy and United Kingdom. Richard Pichler's co-authors include Richard D. Sandberg, Vittorio Michelassi, Liwei Chen, R. M. Johnstone, Rathakrishnan Bhaskaran, Neil D. Sandham, Andrew P. S. Wheeler, Gregory M. Laskowski, Andrea Arnone and Yaomin Zhao and has published in prestigious journals such as International Journal of Heat and Fluid Flow, Journal of Turbomachinery and Minerva Access (University of Melbourne).

In The Last Decade

Richard Pichler

27 papers receiving 714 citations

Peers

Countries citing papers authored by Richard Pichler

Since Specialization

Citations

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

Fields of papers citing papers by Richard Pichler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Pichler

This figure shows the co-authorship network connecting the top 25 collaborators of Richard Pichler. A scholar is included among the top collaborators of Richard Pichler 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 Richard Pichler. Richard Pichler 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	Large-Eddy Simulation and RANS Analysis of the End-Wall Flow in a Linear Low-Pressure Turbine Cascade, Part I: Flow and Secondary Vorticity Fields Under Varying Inlet Condition 2019 ·Journal of Turbomachinery ·Richard Pichler, Yaomin Zhao, Richard D. Sandberg, Vittorio Michelassi, Roberto Pacciani, Michele Marconcini, Andrea Arnone	18
2	LES and RANS Analysis of the End-Wall Flow in a Linear LPT Cascade: Part I — Flow and Secondary Vorticity Fields Under Varying Inlet Condition 2018 ·Minerva Access (University of Melbourne) ·Richard Pichler, Yaomin Zhao, Richard D. Sandberg, Vittorio Michelassi, Roberto Pacciani, Michele Marconcini, Andrea Arnone	13
3	Large Eddy Simulation and RANS Analysis of the End-Wall Flow in a Linear Low-Pressure-Turbine Cascade—Part II: Loss Generation 2018 ·Journal of Turbomachinery ·Michele Marconcini, Roberto Pacciani, Andrea Arnone, Vittorio Michelassi, Richard Pichler, Yaomin Zhao, Richard D. Sandberg	32
4	On the Identification and Decomposition of the Unsteady Losses in a Turbine Cascade 2018 ·Journal of Turbomachinery ·Davide Lengani, Daniele Simoni, Richard Pichler, Richard D. Sandberg, (unknown), Francesco Bertini	18
5	Highly Resolved LES Study of Gap Size Effect on Low-Pressure Turbine Stage 2017 ·Richard Pichler, Vittorio Michelassi, Richard D. Sandberg, Jonathan Ong	6
6	Highly Resolved Large Eddy Simulation Study of Gap Size Effect on Low-Pressure Turbine Stage 2017 ·Journal of Turbomachinery ·Richard Pichler, Vittorio Michelassi, Richard D. Sandberg, Jonathan Ong	19
7	High-Fidelity Simulations of a Linear HPT Vane Cascade Subject to Varying Inlet Turbulence 2017 ·Minerva Access (University of Melbourne) ·Richard Pichler, Richard D. Sandberg, Gregory M. Laskowski, Vittorio Michelassi	20
8	Machine Learning for Turbulence Model Development Using a High-Fidelity HPT Cascade Simulation 2017 ·Minerva Access (University of Melbourne) ·Jack Weatheritt, Richard Pichler, Richard D. Sandberg, Gregory M. Laskowski, Vittorio Michelassi	38
9	Assessment of Grid Resolution Requirements for Accurate Simulation of Disparate Scales of Turbulent Flow in Low-Pressure Turbines 2016 ·Richard Pichler, Richard D. Sandberg, Vittorio Michelassi	17
10	Highly Resolved LES of a Linear HPT Vane Cascade Using Structured and Unstructured Codes 2016 ·Richard Pichler, (unknown), Gregory M. Laskowski, Vittorio Michelassi, Richard D. Sandberg	17
11	Characterisation of the turbulence-separation-bubble interaction on turbine blades 2016 ·(unknown), Richard Pichler, Richard D. Sandberg	1
12	High-Fidelity Simulations of Low-Pressure Turbines: Effect of Flow Coefficient and Reduced Frequency on Losses 2016 ·Journal of Turbomachinery ·(unknown), Liming Chen, Richard Pichler, Richard D. Sandberg, Rathakrishnan Bhaskaran	46
13	Direct Numerical Simulations of a High-Pressure Turbine Vane 2016 ·Journal of Turbomachinery ·Andrew P. S. Wheeler, Richard D. Sandberg, Neil D. Sandham, Richard Pichler, Vittorio Michelassi, (unknown)	92
14	Investigation of the Accuracy of RANS Models to Predict the Flow Through a Low-Pressure Turbine 2016 ·Journal of Turbomachinery ·Richard Pichler, Richard D. Sandberg, Vittorio Michelassi, Rathakrishnan Bhaskaran	22
15	Direct Numerical Simulations of a High Pressure Turbine Vane 2015 ·Andrew P. S. Wheeler, Richard D. Sandberg, Neil D. Sandham, Richard Pichler, Vittorio Michelassi, (unknown)	10
16	High-Fidelity Simulations of Low-Pressure Turbines: Effect of Flow Coefficient and Reduced Frequency on Losses 2015 ·(unknown), Liming Chen, Richard Pichler, Richard D. Sandberg, Rathakrishnan Bhaskaran	5
17	Investigation of the Accuracy of RANS Models to Predict the Flow Through a Low-Pressure Turbine 2015 ·Richard Pichler, Richard D. Sandberg, Vittorio Michelassi, Rathakrishnan Bhaskaran	9
18	Compressible Direct Numerical Simulation of Low-Pressure Turbines—Part I: Methodology 2014 ·Journal of Turbomachinery ·Richard D. Sandberg, Vittorio Michelassi, Richard Pichler, Liwei Chen, R. M. Johnstone	101
19	Compressible Direct Numerical Simulation of Low-Pressure Turbines—Part II: Effect of Inflow Disturbances 2014 ·Journal of Turbomachinery ·Vittorio Michelassi, Liwei Chen, Richard Pichler, Richard D. Sandberg	124
20	Assessing the sensitivity of turbine cascade flow to inflow disturbances using direct numerical simulation 2012 ·ePrints Soton (University of Southampton) ·Richard D. Sandberg, Richard Pichler, (unknown)	14

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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