D. Schwamborn

1.3k citations
30 papers · 759 indexed · 1 hit paper · h-index 13

D. Schwamborn

28 papers receiving 685 citations

Hit Papers

The DLR TAU-Code: Recent Applications in Research and Ind...292200620262012201950100150200250

Peers

D. Schwamborn
Comparison fields: 5 of 48
  • Computational Mechanics 642
  • Aerospace Engineering 437
  • Applied Mathematics 106
  • Environmental Engineering 119
  • Statistics, Probability and Uncertainty 40
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William Strang United States
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Khaled S. Abdol-Hamid United States
Werner Haase Germany
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Citations per field
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Citations per year

Countries citing papers authored by D. Schwamborn

Since Specialization
Citations

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

Fields of papers citing papers by D. Schwamborn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside D. Schwamborn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with D. Schwamborn Line = papers co-authored together D. Schwamborn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20204
2 201925
3 201719
4 20123
5 20122
6 201029
7
EC145 helicopter fuselage: an industrial case
20090
8
Development of the TAU-Code for aerospace applications
200849
9
The DLR TAU-Code: Recent Applications in Research and Industrybreakdown →
2006292
10 200684
11 20069
12 200327
13 200223
14
MEGAFLOW - A Numerical Flow Simulation Tool For Transport Aircraft Design
200278
15
A joint European initiative to develop hybrid grid based CFD technology for inviscid and viscous flow computations applicable to geometrically complex aircraft configurations
20011
16
Applications of the DLR-TAU Code to Fluid-Structure Interaction on Hybrid Grids
20002
17
DLR-TAU Code - an Overview
19995
18
Development of a general purpose multigrid accelerated Navier-Stokes solver
19932
19
Some Navier-Stokes calculations for the CAST-10 airfoil
19891
20
A finite difference Galerkin method for the solution of the Navier-Stokes equations
19862

About D. Schwamborn

D. Schwamborn is a scholar working on Computational Mechanics, Applied Mathematics and Aerospace Engineering, having authored 30 papers that have together received 759 indexed citations. Recurring topics across this work include Computational Fluid Dynamics and Aerodynamics (20 papers), Fluid Dynamics and Turbulent Flows (16 papers), Gas Dynamics and Kinetic Theory (6 papers), Plasma and Flow Control in Aerodynamics (5 papers), Aerodynamics and Acoustics in Jet Flows (5 papers), Wind and Air Flow Studies (3 papers), Advanced Numerical Methods in Computational Mathematics (3 papers) and Aerodynamics and Fluid Dynamics Research (2 papers). The work is most often cited by research in Computational Mechanics (642 citations), Aerospace Engineering (437 citations) and Applied Mathematics (106 citations). D. Schwamborn has collaborated with scholars based in Germany, Sweden and France. Frequent co-authors include Ralf Heinrich, Thomas Gerhold, Tobias Knopp, Norbert Kroll, Cord-Christian Rossow, Klaus Becker, Werner Haase, Shia-Hui Peng, Bernhard Eisfeld and Charles Mockett.

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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