Tim A. Albring

475 total citations
21 papers, 302 citations indexed

About

Tim A. Albring is a scholar working on Computational Mechanics, Aerospace Engineering and Numerical Analysis. According to data from OpenAlex, Tim A. Albring has authored 21 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computational Mechanics, 14 papers in Aerospace Engineering and 4 papers in Numerical Analysis. Recurrent topics in Tim A. Albring's work include Computational Fluid Dynamics and Aerodynamics (16 papers), Aerodynamics and Acoustics in Jet Flows (8 papers) and Fluid Dynamics and Turbulent Flows (5 papers). Tim A. Albring is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (16 papers), Aerodynamics and Acoustics in Jet Flows (8 papers) and Fluid Dynamics and Turbulent Flows (5 papers). Tim A. Albring collaborates with scholars based in Germany, United States and Netherlands. Tim A. Albring's co-authors include Nicolas R. Gauger, Max Sagebaum, Thomas D. Economon, Juan J. Alonso, Beckett Yx Zhou, Piero Colonna, Matteo Pini, Antonio Rubino, S. Vitale and Francisco Palacios and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Computational Physics and AIAA Journal.

In The Last Decade

Tim A. Albring

21 papers receiving 300 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tim A. Albring Germany 11 214 161 39 33 32 21 302
Beckett Yx Zhou Germany 12 236 1.1× 277 1.7× 36 0.9× 23 0.7× 42 1.3× 62 387
Sinan Eyi Türkiye 11 253 1.2× 179 1.1× 51 1.3× 91 2.8× 45 1.4× 51 346
Mihai C. Duta United Kingdom 8 392 1.8× 181 1.1× 46 1.2× 62 1.9× 72 2.3× 14 494
Sriram Shankaran United States 14 428 2.0× 261 1.6× 48 1.2× 51 1.5× 45 1.4× 31 549
Clarence Burg United States 9 252 1.2× 89 0.6× 22 0.6× 65 2.0× 16 0.5× 20 341
Marco Ceze United States 12 353 1.6× 70 0.4× 26 0.7× 50 1.5× 20 0.6× 26 392
Xinfeng Gao United States 14 445 2.1× 108 0.7× 28 0.7× 66 2.0× 38 1.2× 59 554
Dmitry S. Kamenetskiy United States 11 322 1.5× 86 0.5× 32 0.8× 58 1.8× 19 0.6× 23 355
Subhendu Bikash Hazra Germany 9 181 0.8× 46 0.3× 52 1.3× 24 0.7× 28 0.9× 25 284
Nathan Maman United States 4 390 1.8× 92 0.6× 18 0.5× 25 0.8× 43 1.3× 4 461

Countries citing papers authored by Tim A. Albring

Since Specialization
Citations

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

Fields of papers citing papers by Tim A. Albring

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tim A. Albring. 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 Tim A. Albring. The network helps show where Tim A. Albring may publish in the future.

Co-authorship network of co-authors of Tim A. Albring

This figure shows the co-authorship network connecting the top 25 collaborators of Tim A. Albring. A scholar is included among the top collaborators of Tim A. Albring 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 Tim A. Albring. Tim A. Albring 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
2.
Zhou, Beckett Yx, et al.. (2021). Regularization for Adjoint-Based Unsteady Aerodynamic Optimization Using Windowing Techniques. AIAA Journal. 59(7). 2517–2531. 1 indexed citations
3.
Zhou, Beckett Yx, et al.. (2020). Windowing Regularization Techniques for Unsteady Aerodynamic Shape Optimization. AIAA AVIATION 2020 FORUM. 2 indexed citations
4.
Zhou, Beckett Yx, et al.. (2020). Efficient Airframe Noise Reduction Framework via Adjoint-Based Shape Optimization. AIAA Journal. 59(2). 580–595. 12 indexed citations
5.
Meinke, Matthias, et al.. (2019). Noise Reduction Using a Direct-Hybrid CFD/CAA Method. 2 indexed citations
6.
Albring, Tim A., Beckett Yx Zhou, & Nicolas R. Gauger. (2019). Challenges in Sensitivity Computations for (D)DES and URANS. AIAA Scitech 2019 Forum. 2 indexed citations
7.
Sagebaum, Max, Tim A. Albring, & Nicolas R. Gauger. (2018). Expression templates for primal value taping in the reverse mode of algorithmic differentiation. Optimization methods & software. 33(4-6). 1207–1231. 9 indexed citations
8.
Rubino, Antonio, Matteo Pini, Piero Colonna, et al.. (2018). Adjoint-based fluid dynamic design optimization in quasi-periodic unsteady flow problems using a harmonic balance method. Journal of Computational Physics. 372. 220–235. 33 indexed citations
9.
Economon, Thomas D., et al.. (2018). Low-cost unsteady discrete adjoints for aeroacoustic optimization using temporal and spatial coarsening techniques. 2018 AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. 12 indexed citations
10.
Albring, Tim A., et al.. (2018). A one-shot optimization framework with additional equality constraints applied to multi-objective aerodynamic shape optimization. Optimization methods & software. 33(4-6). 694–707. 1 indexed citations
11.
Zhou, Beckett Yx, et al.. (2017). Reduction of Airframe Noise Components Using a Discrete Adjoint Approach. 16 indexed citations
12.
Vitale, S., Tim A. Albring, Matteo Pini, Nicolas R. Gauger, & Piero Colonna. (2017). Fully turbulent discrete adjoint solver for non-ideal compressible flow applications. SHILAP Revista de lepidopterología. 1. Z1FVOI–Z1FVOI. 20 indexed citations
13.
Palacios, Rafael, et al.. (2017). Optimal Actuation of Dielectric Membrane Wings using High-Fidelity Fluid-Structure Modelling. 58th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. 1 indexed citations
14.
Albring, Tim A., Thomas P. Dick, & Nicolas R. Gauger. (2017). Assessment of the Recursive Projection Method for the Stabilization of Discrete Adjoint Solvers. 5 indexed citations
15.
Zhou, Beckett Yx, et al.. (2017). A Discrete Adjoint Approach for Jet-Flap Interaction Noise Reduction. 58th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. 7 indexed citations
16.
Economon, Thomas D., Juan J. Alonso, Tim A. Albring, & Nicolas R. Gauger. (2017). Adjoint Formulation Investigations of Benchmark Aerodynamic Design Cases in SU2. 13 indexed citations
17.
Albring, Tim A., Max Sagebaum, & Nicolas R. Gauger. (2016). Efficient Aerodynamic Design using the Discrete Adjoint Method in SU2. 65 indexed citations
18.
Zhou, Beckett Yx, Tim A. Albring, Nicolas R. Gauger, Thomas D. Economon, & Juan J. Alonso. (2016). An Efficient Unsteady Aerodynamic and Aeroacoustic Design Framework Using Discrete Adjoint. 14 indexed citations
19.
Zhou, Beckett Yx, Tim A. Albring, Nicolas R. Gauger, et al.. (2015). A Discrete Adjoint Framework for Unsteady Aerodynamic and Aeroacoustic Optimization. 26 indexed citations
20.
Albring, Tim A., Max Sagebaum, & Nicolas R. Gauger. (2015). Development of a Consistent Discrete Adjoint Solver in an Evolving Aerodynamic Design Framework. 39 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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