Markus Widhalm

404 total citations
21 papers, 259 citations indexed

About

Markus Widhalm is a scholar working on Computational Mechanics, Aerospace Engineering and Statistical and Nonlinear Physics. According to data from OpenAlex, Markus Widhalm has authored 21 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computational Mechanics, 10 papers in Aerospace Engineering and 7 papers in Statistical and Nonlinear Physics. Recurrent topics in Markus Widhalm's work include Computational Fluid Dynamics and Aerodynamics (19 papers), Fluid Dynamics and Turbulent Flows (8 papers) and Model Reduction and Neural Networks (7 papers). Markus Widhalm is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (19 papers), Fluid Dynamics and Turbulent Flows (8 papers) and Model Reduction and Neural Networks (7 papers). Markus Widhalm collaborates with scholars based in Germany, United Kingdom and United States. Markus Widhalm's co-authors include Andrea Da Ronch, M. Sergio Campobasso, K. J. Badcock, Časlav Ilić, Joël Brézillon, Tobias Leicht, E. Andrés, Richard P. Dwight, Mehdi Ghoreyshi and María J. Martín and has published in prestigious journals such as AIAA Journal, SAE technical papers on CD-ROM/SAE technical paper series and Journal of Aircraft.

In The Last Decade

Markus Widhalm

20 papers receiving 250 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Markus Widhalm Germany 9 207 116 77 51 21 21 259
Shenren Xu China 11 265 1.3× 174 1.5× 39 0.5× 57 1.1× 34 1.6× 23 339
Olivier Amoignon Sweden 8 260 1.3× 128 1.1× 28 0.4× 27 0.5× 22 1.0× 16 313
Emiliano Iuliano Italy 11 139 0.7× 158 1.4× 82 1.1× 91 1.8× 30 1.4× 23 334
Mihai C. Duta United Kingdom 8 392 1.9× 181 1.6× 64 0.8× 72 1.4× 24 1.1× 14 494
Philipp Bekemeyer Germany 13 232 1.1× 152 1.3× 186 2.4× 122 2.4× 20 1.0× 49 386
Subhendu Bikash Hazra Germany 9 181 0.9× 46 0.4× 49 0.6× 28 0.5× 21 1.0× 25 284
Tim A. Albring Germany 11 214 1.0× 161 1.4× 28 0.4× 32 0.6× 26 1.2× 21 302
Robert Narducci Australia 13 229 1.1× 235 2.0× 27 0.4× 81 1.6× 23 1.1× 39 428
Mohamed E. Eleshaky United States 12 399 1.9× 148 1.3× 99 1.3× 73 1.4× 17 0.8× 20 543
Marco Ceze United States 12 353 1.7× 70 0.6× 77 1.0× 20 0.4× 12 0.6× 26 392

Countries citing papers authored by Markus Widhalm

Since Specialization
Citations

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

Fields of papers citing papers by Markus Widhalm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Widhalm

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Widhalm. A scholar is included among the top collaborators of Markus Widhalm 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 Markus Widhalm. Markus Widhalm 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.
Widhalm, Markus, et al.. (2025). Stability Derivatives Prediction Using Reduced-Order Models on Triple Delta Wing. Journal of Aircraft. 1–14.
2.
3.
Widhalm, Markus, et al.. (2023). Comparison of Reduced Order Models for Evaluating Stability Derivatives for the DLR-F22 ONERA model. elib (German Aerospace Center). 1 indexed citations
4.
Bekemeyer, Philipp, et al.. (2022). Data-Driven Aerodynamic Modeling Using the DLR SMARTy Toolbox. AIAA AVIATION 2022 Forum. 23 indexed citations
5.
Widhalm, Markus, et al.. (2020). Efficient Prediction of Aerodynamic Control Surface Responses Using the Linear Frequency Domain. AIAA Journal. 58(5). 1964–1975. 1 indexed citations
6.
Widhalm, Markus, et al.. (2019). Efficient Prediction of Aerodynamic Response Behavior for Control Surfaces using the Linear Frequency Domain. AIAA Scitech 2019 Forum. 1 indexed citations
7.
Widhalm, Markus, et al.. (2017). Efficient Evaluation of Dynamic Response Data with a Linearized Frequency Domain Solver at Transonic Separated Flow Condition. elib (German Aerospace Center). 12 indexed citations
8.
Widhalm, Markus. (2015). Lagrangian Trajectory Simulation of Rotating Regular Shaped Ice Particles. SAE technical papers on CD-ROM/SAE technical paper series. 3 indexed citations
9.
Ronch, Andrea Da, et al.. (2013). Linear Frequency Domain and Harmonic Balance Predictions of Dynamic Derivatives. Journal of Aircraft. 50(3). 694–707. 68 indexed citations
10.
Widhalm, Markus, et al.. (2013). Linear-Frequency-Domain Predictions of Dynamic-Response Data for Viscous Transonic Flows. AIAA Journal. 51(11). 2540–2557. 50 indexed citations
11.
Widhalm, Markus, et al.. (2013). FORCED MOTION SIMULATIONS USING A LINEAR FREQUENCY DOMAIN SOLVER FOR A GENERIC TRANSPORT AIRCRAFT. elib (German Aerospace Center). 5 indexed citations
12.
Widhalm, Markus, et al.. (2012). LINEAR FREQUENCY DOMAIN PREDICTIONS OF DYNAMIC DERIVATIVES FOR THE DLR F12 WIND TUNNEL MODEL. elib (German Aerospace Center). 2 indexed citations
13.
Ilić, Časlav, Markus Widhalm, & Joël Brézillon. (2012). Efficient polar optimization of transport aircraft in transonic RANS flow using adjoint gradient based approach. elib (German Aerospace Center). 4 indexed citations
14.
Widhalm, Markus, et al.. (2012). Time-linearized simulation of unsteady transonic flows with shock-induced separation. elib (German Aerospace Center). 5 indexed citations
15.
Martín, María J., et al.. (2011). Non-uniform rational B-splines-based aerodynamic shape design optimization with the DLR TAU code. Proceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace Engineering. 226(10). 1225–1242. 16 indexed citations
16.
Widhalm, Markus, Joël Brézillon, Časlav Ilić, & Tobias Leicht. (2010). Investigation on Adjoint Based Gradient Computations for Realistic 3d Aero-Optimization. elib (German Aerospace Center). 18 indexed citations
17.
Ronch, Andrea Da, Kenneth Badcock, Mehdi Ghoreyshi, et al.. (2010). Linear Frequency Domain and Harmonic Balance Predictions of Dynamic Derivatives. ePrints Soton (University of Southampton). 16 indexed citations
18.
Widhalm, Markus, et al.. (2010). Efficient Computation of Dynamic Stability Datawith a Linearized Frequency Domain Solver.. 7 indexed citations
19.
Widhalm, Markus, et al.. (2008). Lagrangian Particle Tracking on Large Unstructured Three-Dimensional Meshes. 46th AIAA Aerospace Sciences Meeting and Exhibit. 13 indexed citations
20.

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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