D. Hänel

1.7k total citations · 1 hit paper
26 papers, 1.3k citations indexed

About

D. Hänel is a scholar working on Computational Mechanics, Electrical and Electronic Engineering and Applied Mathematics. According to data from OpenAlex, D. Hänel has authored 26 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computational Mechanics, 7 papers in Electrical and Electronic Engineering and 5 papers in Applied Mathematics. Recurrent topics in D. Hänel's work include Computational Fluid Dynamics and Aerodynamics (15 papers), Fluid Dynamics and Turbulent Flows (12 papers) and Lattice Boltzmann Simulation Studies (12 papers). D. Hänel is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (15 papers), Fluid Dynamics and Turbulent Flows (12 papers) and Lattice Boltzmann Simulation Studies (12 papers). D. Hänel collaborates with scholars based in Germany, Italy and France. D. Hänel's co-authors include O. Filippova, M. Breuer, Gino Bella, Sauro Succi, Moustafa Abdel‐Maksoud, Wolfgang Schröder, Irenäus Wlokas, Le Chung Tran, P. Roth and Imad Elmahi and has published in prestigious journals such as Journal of Computational Physics, Journal of Aerosol Science and Computers in Biology and Medicine.

In The Last Decade

D. Hänel

25 papers receiving 1.2k citations

Hit Papers

Grid Refinement for Lattice-BGK Models 1998 2026 2007 2016 1998 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Grid Refinement for Lattice-BGK Models
    1998 532 citations O. Filippova, D. Hänel Journal of Computational Physics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. Hänel Germany 14 1.2k 711 237 77 72 26 1.3k
O. Filippova United States 11 1.3k 1.0× 756 1.1× 266 1.1× 92 1.2× 57 0.8× 15 1.3k
Mouaouia Firdaouss France 7 1.1k 0.9× 484 0.7× 160 0.7× 191 2.5× 86 1.2× 8 1.2k
Dazhi Yu United States 15 1.9k 1.5× 930 1.3× 378 1.6× 184 2.4× 98 1.4× 24 2.1k
Wei Liao United States 15 770 0.6× 204 0.3× 438 1.8× 64 0.8× 79 1.1× 41 1.0k
Abbas Fakhari United States 19 1.5k 1.2× 539 0.8× 71 0.3× 186 2.4× 89 1.2× 25 1.6k
Yan Peng United States 17 1.8k 1.4× 901 1.3× 284 1.2× 320 4.2× 85 1.2× 34 1.9k
M’hamed Bouzidi France 10 1.5k 1.2× 707 1.0× 238 1.0× 343 4.5× 78 1.1× 14 1.6k
Christophe Coreixas Switzerland 10 593 0.5× 256 0.4× 167 0.7× 42 0.5× 45 0.6× 15 686
Martin Schönherr Germany 8 714 0.6× 301 0.4× 182 0.8× 30 0.4× 71 1.0× 12 824
Alessandro De Rosis Italy 18 806 0.7× 323 0.5× 163 0.7× 47 0.6× 72 1.0× 48 897

Countries citing papers authored by D. Hänel

Since Specialization
Citations

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

Fields of papers citing papers by D. Hänel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Hänel

This figure shows the co-authorship network connecting the top 25 collaborators of D. Hänel. A scholar is included among the top collaborators of D. Hänel 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 D. Hänel. D. Hänel 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.
Abdel‐Maksoud, Moustafa, et al.. (2011). Application of Vortex Confinement Method in Combination with Two- Way Euler-Lagrangian Coupling Approach for the Prediction of Cavitating Propeller Tip Vortex Flows. 2 indexed citations
2.
Abdel‐Maksoud, Moustafa, et al.. (2010). Modeling and computation of cavitation in vortical flow. International Journal of Heat and Fluid Flow. 31(6). 1065–1074. 26 indexed citations
3.
Abdel‐Maksoud, Moustafa, et al.. (2009). Vorticity Confinement methods for cavitating flows. Deep Blue (University of Michigan). 1 indexed citations
4.
Elmahi, Imad, et al.. (2008). A preconditioned dual time-stepping method for combustion problems. International journal of computational fluid dynamics. 22(3). 169–181. 7 indexed citations
5.
Hänel, D., et al.. (2006). Generalized lattice‐BGK concept for thermal and chemically reacting flows at low Mach numbers. International Journal for Numerical Methods in Fluids. 51(4). 351–369. 1 indexed citations
6.
Hänel, D., et al.. (2006). Simulation of nasal flow by lattice Boltzmann methods. Computers in Biology and Medicine. 37(6). 739–749. 24 indexed citations
7.
Filippova, O., et al.. (2001). Multiscale Lattice Boltzmann Schemes with Turbulence Modeling. Journal of Computational Physics. 170(2). 812–829. 77 indexed citations
8.
Filippova, O. & D. Hänel. (2000). Acceleration of Lattice-BGK Schemes with Grid Refinement. Journal of Computational Physics. 165(2). 407–427. 47 indexed citations
9.
Filippova, O. & D. Hänel. (2000). A Novel Lattice BGK Approach for Low Mach Number Combustion. Journal of Computational Physics. 158(2). 139–160. 123 indexed citations
10.
Filippova, O. & D. Hänel. (1998). Boundary-Fitting and Local Grid Refinement for Lattice-BGK Models. International Journal of Modern Physics C. 9(8). 1271–1279. 82 indexed citations
11.
Filippova, O. & D. Hänel. (1998). Lattice-BGK Model for Low Mach Number Combustion. International Journal of Modern Physics C. 9(8). 1439–1445. 40 indexed citations
12.
Filippova, O. & D. Hänel. (1997). Lattice-Boltzmann simulation of gas-particle flow in filters. Computers & Fluids. 26(7). 697–712. 182 indexed citations
13.
Hänel, D., et al.. (1996). Numerical modelling of detonation structure in two-phase flows. Shock Waves. 6(1). 17–20. 7 indexed citations
14.
Hänel, D., et al.. (1996). ADAPTIVE SOLUTIONS FOR UNSTEADY LAMINAR FLOWS ON UNSTRUCTURED GRIDS. International Journal for Numerical Methods in Fluids. 22(2). 85–101. 5 indexed citations
15.
Filippova, O. & D. Hänel. (1996). Numerical simulation of particle deposition in filters. Journal of Aerosol Science. 27. S627–S628. 6 indexed citations
16.
Hänel, D., et al.. (1995). Influence of Reactive Particles on The Formation of a One-Dimensional Detonation Wave. Combustion Science and Technology. 110-111(1). 419–441. 5 indexed citations
17.
Hänel, D., et al.. (1993). Adaptive methods on unstructured grids for Euler and Navier-Stokes equations. Computers & Fluids. 22(4-5). 485–499. 15 indexed citations
18.
Breuer, M. & D. Hänel. (1993). A dual time-stepping method for 3-d, viscous, incompressible vortex flows. Computers & Fluids. 22(4-5). 467–484. 32 indexed citations
19.
Filippova, O. & D. Hänel. (1993). 29 O 03 Lattice gas method for suspensions. Journal of Aerosol Science. 24. S341–S342.
20.
Hänel, D.. (1989). An Implicit Flux-vector Splitting Scheme for the Computation of Viscous Hypersonic Flows. Medical Entomology and Zoology. 11 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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