Andreas Schröder

4.0k total citations · 1 hit paper
183 papers, 2.9k citations indexed

About

Andreas Schröder is a scholar working on Computational Mechanics, Aerospace Engineering and Ocean Engineering. According to data from OpenAlex, Andreas Schröder has authored 183 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 139 papers in Computational Mechanics, 77 papers in Aerospace Engineering and 74 papers in Ocean Engineering. Recurrent topics in Andreas Schröder's work include Fluid Dynamics and Turbulent Flows (127 papers), Particle Dynamics in Fluid Flows (70 papers) and Aerodynamics and Acoustics in Jet Flows (56 papers). Andreas Schröder is often cited by papers focused on Fluid Dynamics and Turbulent Flows (127 papers), Particle Dynamics in Fluid Flows (70 papers) and Aerodynamics and Acoustics in Jet Flows (56 papers). Andreas Schröder collaborates with scholars based in Germany, France and United States. Andreas Schröder's co-authors include Daniel Schanz, Sébastian Gesemann, Reinhard Geisler, Matteo Novara, J. Kompenhans, Bernhard Wieneke, Eric Roosenboom, Robert Konrath, Gerrit E. Elsinga and Fulvio Scarano and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Journal of Fluid Mechanics.

In The Last Decade

Andreas Schröder

173 papers receiving 2.7k citations

Hit Papers

Shake-The-Box: Lagrangian... 2016 2026 2019 2022 2016 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Andreas Schröder 2.1k 1.1k 671 530 307 183 2.9k
Guowei He 2.7k 1.3× 1.4k 1.3× 602 0.9× 870 1.6× 205 0.7× 166 3.8k
Richard D. Keane 1.5k 0.7× 593 0.5× 465 0.7× 346 0.7× 297 1.0× 17 2.2k
M. L. Riethmuller 1.8k 0.9× 754 0.7× 417 0.6× 374 0.7× 451 1.5× 69 2.6k
Daniel Schanz 1.2k 0.6× 563 0.5× 512 0.8× 287 0.5× 167 0.5× 103 1.8k
R. J. Adrian 1.4k 0.7× 471 0.4× 347 0.5× 363 0.7× 390 1.3× 15 2.2k
Manoochehr Koochesfahani 2.2k 1.1× 1.5k 1.4× 368 0.5× 297 0.6× 206 0.7× 114 3.1k
Tamer A. Zaki 2.9k 1.4× 1.1k 1.0× 255 0.4× 602 1.1× 682 2.2× 132 3.5k
Jochen Fröhlich 4.0k 1.9× 1.3k 1.2× 1.0k 1.6× 1.0k 1.9× 642 2.1× 204 5.3k
Dana Dabiri 1.0k 0.5× 367 0.3× 287 0.4× 223 0.4× 265 0.9× 58 1.8k
Ching‐Long Lin 2.2k 1.1× 402 0.4× 450 0.7× 360 0.7× 339 1.1× 112 4.8k

Countries citing papers authored by Andreas Schröder

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Schröder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Schröder

This figure shows the co-authorship network connecting the top 25 collaborators of Andreas Schröder. A scholar is included among the top collaborators of Andreas Schröder 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 Andreas Schröder. Andreas Schröder 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.
Gesemann, Sébastian, et al.. (2024). FlowFit3: Efficient Data Assimilation Of LPT Measurements. elib (German Aerospace Center). 21. 1–14. 4 indexed citations
2.
Schanz, Daniel, et al.. (2024). Scanning Lagrangian Particle Tracking To Measure 3D Large Scale Aerodynamics Of Quadcopter Flight. elib (German Aerospace Center). 21. 1–15. 1 indexed citations
3.
Miozzi, Massimo, et al.. (2024). Skin-friction from temperature and velocity data around a wall-mounted cube. Experiments in Fluids. 65(10). 1 indexed citations
4.
Weiss, Stephan, et al.. (2024). On Lagrangian properties of turbulent Rayleigh–Bénard convection. Journal of Fluid Mechanics. 999. 2 indexed citations
5.
Zanoun, El‐Sayed, et al.. (2023). Experiments on large-scale structures in fully developed turbulent pipe flow. European Journal of Mechanics - B/Fluids. 102. 103–117.
7.
Schanz, Daniel, et al.. (2023). Turbulent superstructure statistics in a turbulent boundary layer with pressure gradients. European Journal of Mechanics - B/Fluids. 101. 209–218. 2 indexed citations
8.
Schanz, Daniel, T. L. Jahn, & Andreas Schröder. (2022). 3D Particle Position Determination And Correction At High Particle Densities. 20. 1–17. 2 indexed citations
10.
Sciacchitano, Andrea, Benjamin Leclaire, & Andreas Schröder. (2022). Main Results Of The Analysis Of The HOMER Lagrangian Particle Tracking And Data Assimilation Database. 20. 1–25. 3 indexed citations
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14.
Novara, Matteo, Jason Voorneveld, Jos J.M. Westenberg, et al.. (2019). In vitro volumetric lagrangian particle tracking and 4D pressure field in a left ventricle model. Ghent University Academic Bibliography (Ghent University). 1 indexed citations
15.
Huhn, Florian, et al.. (2018). Time-resolved large-scale volumetric pressure fields of an impinging jet from dense Lagrangian particle tracking. Experiments in Fluids. 59(5). 25 indexed citations
16.
Huhn, Florian, et al.. (2017). Large-scale volumetric flow measurement in a pure thermal plume by dense tracking of helium-filled soap bubbles. Experiments in Fluids. 58(9). 25 indexed citations
17.
Soria, Julio, Christian Willert, Omid Amili, et al.. (2016). Spatially and temporally resolved 2C-2D PIV in the inner layer of a high Reynolds number adverse pressure gradient turbulent boundary layer. elib (German Aerospace Center). 1 indexed citations
18.
Hain, Rainer, Sven Scharnowski, Christian J. Kähler, et al.. (2016). Coherent large scale structures in adverse pressure gradient turbulent boundary layers. elib (German Aerospace Center). 4 indexed citations
19.
Huhn, Florian, Daniel Schanz, Sébastian Gesemann, & Andreas Schröder. (2016). FFT integration of instantaneous 3D pressure gradient fields measured by Lagrangian particle tracking in turbulent flows. Experiments in Fluids. 57(9). 24 indexed citations
20.
Schanz, Daniel, Andreas Schröder, Sébastian Gesemann, Dirk Michaelis, & Bernhard Wieneke. (2013). Shake The Box: A highly efficient and accurate Tomographic Particle Tracking Velocimetry (TOMO-PTV) method using prediction of particle positions. elib (German Aerospace Center). 46 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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