Peter Lammers

559 total citations
11 papers, 362 citations indexed

About

Peter Lammers is a scholar working on Computational Mechanics, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Peter Lammers has authored 11 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computational Mechanics, 4 papers in Electrical and Electronic Engineering and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Peter Lammers's work include Lattice Boltzmann Simulation Studies (9 papers), Fluid Dynamics and Turbulent Flows (5 papers) and Aerosol Filtration and Electrostatic Precipitation (4 papers). Peter Lammers is often cited by papers focused on Lattice Boltzmann Simulation Studies (9 papers), Fluid Dynamics and Turbulent Flows (5 papers) and Aerosol Filtration and Electrostatic Precipitation (4 papers). Peter Lammers collaborates with scholars based in Germany, United Kingdom and Netherlands. Peter Lammers's co-authors include Günther Brenner, F. Durst, T. Zeiser, J. Bernsdorf, Jovan Jovanović, Kamen N. Beronov, Elias Klemm, Bettina Frohnapfel, Gerhard Wellein and Ulrich Rüde and has published in prestigious journals such as Journal of Fluid Mechanics, Journal of Computational Physics and Chemical Engineering Science.

In The Last Decade

Peter Lammers

11 papers receiving 346 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Lammers Germany 6 311 116 38 35 35 11 362
Ariel Narváez Netherlands 6 328 1.1× 145 1.3× 36 0.9× 22 0.6× 60 1.7× 7 421
Florian Ries Germany 14 318 1.0× 46 0.4× 74 1.9× 20 0.6× 79 2.3× 38 438
Sami Bayyuk United States 9 233 0.7× 127 1.1× 51 1.3× 6 0.2× 21 0.6× 19 354
Robin Trunk Germany 12 297 1.0× 172 1.5× 25 0.7× 19 0.5× 35 1.0× 18 364
Marc Haussmann Germany 9 264 0.8× 141 1.2× 13 0.3× 16 0.5× 28 0.8× 13 310
Céline Lapuerta France 8 351 1.1× 59 0.5× 33 0.9× 5 0.1× 53 1.5× 11 510
Luiz A. Hegele Brazil 12 486 1.6× 224 1.9× 56 1.5× 43 1.2× 22 0.6× 26 561
Sijun Zhang United States 12 224 0.7× 27 0.2× 27 0.7× 4 0.1× 21 0.6× 59 323
Zhaoxia Yang Germany 13 302 1.0× 205 1.8× 19 0.5× 19 0.5× 16 0.5× 23 430
S. Geller Germany 5 308 1.0× 156 1.3× 23 0.6× 15 0.4× 40 1.1× 7 345

Countries citing papers authored by Peter Lammers

Since Specialization
Citations

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

Fields of papers citing papers by Peter Lammers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Lammers

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Lammers. A scholar is included among the top collaborators of Peter Lammers 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 Peter Lammers. Peter Lammers is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Lammers, Peter, Jovan Jovanović, Bettina Frohnapfel, & Antonio Delgado. (2012). Erlangen pipe flow: the concept and DNS results for microflow control of near-wall turbulence. Microfluidics and Nanofluidics. 13(3). 429–440. 5 indexed citations
2.
Lammers, Peter, Jovan Jovanović, & Antonio Delgado. (2011). Persistence of turbulent flow in microchannels at very low Reynolds numbers. Microfluidics and Nanofluidics. 11(2). 129–136. 4 indexed citations
3.
Adamidis, Panagiotis, Rolf Rabenseifner, Peter Lammers, et al.. (2008). Teraflops Sustained Performance With Real World Applications. The International Journal of High Performance Computing Applications. 22(2). 131–148. 1 indexed citations
4.
Bernsdorf, J., et al.. (2008). Performance evaluation of a parallel sparse lattice Boltzmann solver. Journal of Computational Physics. 227(10). 4895–4911. 45 indexed citations
5.
Frohnapfel, Bettina, Peter Lammers, Jovan Jovanović, & F. Durst. (2007). Interpretation of the mechanism associated with turbulent drag reduction in terms of anisotropy invariants. Journal of Fluid Mechanics. 577. 457–466. 52 indexed citations
6.
Lammers, Peter, et al.. (2006). Lattice BGK direct numerical simulation of fully developed turbulence in incompressible plane channel flow. Computers & Fluids. 35(10). 1137–1153. 84 indexed citations
7.
Lammers, Peter, Jovan Jovanović, & F. Durst. (2006). Numerical experiments on wall turbulence at low Reynolds number. Thermal Science. 10(2). 33–62. 6 indexed citations
8.
Pohl, Thomas, Nils Thürey, Ulrich Rüde, et al.. (2005). Performance Evaluation of Parallel Large-Scale Lattice Boltzmann Applications on Three Supercomputing Architectures. 21–21. 64 indexed citations
9.
Zeiser, Thomas, et al.. (2004). Optimized Lattice Boltzmann Kernels as Testbeds for Processor Performance. 2 indexed citations
10.
Lammers, Peter. (2004). Direkte numerische Simulationen wandgebundener Strömungen kleiner Reynoldszahlen mit dem lattice Boltzmann Verfahren. OPUS FAU (Kooperativer Bibliotheksverbund Berlin-Brandenburg (KOBV), on behalf of the Universitätsbibliothek Erlangen-Nürnberg). 4 indexed citations
11.
Zeiser, T., et al.. (2001). CFD-calculation of flow, dispersion and reaction in a catalyst filled tube by the lattice Boltzmann method. Chemical Engineering Science. 56(4). 1697–1704. 95 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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