Markus Rampp

5.4k total citations
56 papers, 3.5k citations indexed

About

Markus Rampp is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Molecular Biology. According to data from OpenAlex, Markus Rampp has authored 56 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Nuclear and High Energy Physics, 22 papers in Astronomy and Astrophysics and 13 papers in Molecular Biology. Recurrent topics in Markus Rampp's work include Neutrino Physics Research (13 papers), Gamma-ray bursts and supernovae (11 papers) and Magnetic confinement fusion research (10 papers). Markus Rampp is often cited by papers focused on Neutrino Physics Research (13 papers), Gamma-ray bursts and supernovae (11 papers) and Magnetic confinement fusion research (10 papers). Markus Rampp collaborates with scholars based in Germany, United States and China. Markus Rampp's co-authors include Hans‐Thomas Janka, R. Buras, H. Th. Janka, K. Kifonidis, Friedhelm Pfeiffer, Dieter Oesterhelt, Stephan C. Schuster, M. Liebendörfer, Anthony Mezzacappa and Peter Palm and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Markus Rampp

54 papers receiving 3.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Markus Rampp Germany 25 1.6k 1.5k 937 516 338 56 3.5k
D. Nunn United Kingdom 37 281 0.2× 2.1k 1.5× 2.1k 2.2× 395 0.8× 964 2.9× 98 4.5k
Marie‐Christine Maurel France 29 292 0.2× 542 0.4× 901 1.0× 131 0.3× 211 0.6× 108 2.1k
Motoo Suzuki Japan 24 540 0.3× 481 0.3× 460 0.5× 168 0.3× 301 0.9× 86 1.7k
K. Sakaguchi Japan 23 304 0.2× 838 0.6× 877 0.9× 108 0.2× 138 0.4× 58 2.2k
Juan Pérez‐Mercader United States 26 451 0.3× 855 0.6× 310 0.3× 75 0.1× 118 0.3× 133 2.4k
G. J. White United Kingdom 32 305 0.2× 2.1k 1.4× 305 0.3× 273 0.5× 96 0.3× 159 2.9k
Richard L. Kelley United States 36 889 0.6× 1.9k 1.3× 2.6k 2.8× 83 0.2× 1.1k 3.3× 288 6.0k
C. L. Fiore United States 27 1.2k 0.7× 659 0.5× 151 0.2× 526 1.0× 31 0.1× 79 2.0k
M. Meixner United States 41 226 0.1× 4.2k 2.9× 388 0.4× 82 0.2× 113 0.3× 240 5.5k
Prasenjit Saha Switzerland 36 299 0.2× 2.2k 1.5× 544 0.6× 113 0.2× 58 0.2× 173 3.7k

Countries citing papers authored by Markus Rampp

Since Specialization
Citations

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

Fields of papers citing papers by Markus Rampp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Rampp

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Rampp. A scholar is included among the top collaborators of Markus Rampp 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 Markus Rampp. Markus Rampp 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.
Kutzner, Carsten, et al.. (2025). Scaling of the GROMACS Molecular Dynamics Code to 65k CPU Cores on an HPC Cluster. Journal of Computational Chemistry. 46(5). e70059–e70059. 3 indexed citations
2.
Li, Yue, Ye Wei, Zhangwei Wang, et al.. (2023). Quantitative three-dimensional imaging of chemical short-range order via machine learning enhanced atom probe tomography. Nature Communications. 14(1). 7410–7410. 30 indexed citations
3.
Rampp, Markus, et al.. (2023). Electron inertia effects in 3D hybrid-kinetic collisionless plasma turbulence. Physics of Plasmas. 30(9). 3 indexed citations
4.
Weiland, M., R. Bilato, B. Sieglin, et al.. (2023). Real-time implementation of the high-fidelity NBI code RABBIT into the discharge control system of ASDEX Upgrade. Nuclear Fusion. 63(6). 66013–66013. 3 indexed citations
5.
Rao, Ziyuan, Yue Li, Hongbin Zhang, et al.. (2023). Direct recognition of crystal structures via three-dimensional convolutional neural networks with high accuracy and tolerance to random displacements and missing atoms. Scripta Materialia. 234. 115542–115542. 7 indexed citations
6.
Lu, Haipeng, Yi Yao, Ji Hao, et al.. (2023). Electronic Impurity Doping of a 2D Hybrid Lead Iodide Perovskite by Bi and Sn. SHILAP Revista de lepidopterología. 2(2). 13 indexed citations
7.
8.
Li, Yue, Xuyang Zhou, Ye Wei, et al.. (2021). Convolutional neural network-assisted recognition of nanoscale L12 ordered structures in face-centred cubic alloys. npj Computational Materials. 7(1). 21 indexed citations
9.
Gastine, T., et al.. (2021). MagIC v5.10: a two-dimensional message-passing interface (MPI) distribution for pseudo-spectral magnetohydrodynamics simulations in spherical geometry. Geoscientific model development. 14(12). 7477–7495. 4 indexed citations
10.
Ren, Xinguo, F. Merz, Hong Jiang, et al.. (2021). All-electron periodic G<sub>0</sub>W<sub>0</sub> implementation with numerical atomic orbital basis functions: Algorithm and benchmarks. MPG.PuRe (Max Planck Society). 39 indexed citations
11.
Toussaint, U. von, et al.. (2020). FaVAD: A software workflow for characterization and visualizing of defects in crystalline structures. Computer Physics Communications. 262. 107816–107816. 5 indexed citations
12.
Fischer, R., A. Bock, A. Burckhart, et al.. (2019). Current profile tailoring with the upgraded ECRH system at ASDEX Upgrade. MPG.PuRe (Max Planck Society).
13.
Rampp, Markus, José M. López, Lin Shi, Björn Hof, & Marc Avila. (2015). NSCOUETTE: A Hybrid MPI-OpenMP Parallel Implementation for Pseudospectral Simulations – Scaling experiments on SuperMUC. MPG.PuRe (Max Planck Society). 1 indexed citations
14.
Raddatz, Günter, Paloma M. Guzzardo, Nelly Olova, et al.. (2013). Dnmt2-dependent methylomes lack defined DNA methylation patterns. Proceedings of the National Academy of Sciences. 110(21). 8627–8631. 175 indexed citations
15.
Dyall‐Smith, Mike, Friedhelm Pfeiffer, Kathrin Klee, et al.. (2011). Haloquadratum walsbyi : Limited Diversity in a Global Pond. PLoS ONE. 6(6). e20968–e20968. 97 indexed citations
16.
Bolhuis, Henk, Peter Palm, Andy Wende, et al.. (2006). The genome of the square archaeon Haloquadratum walsbyi : life at the limits of water activity. BMC Genomics. 7(1). 169–169. 219 indexed citations
17.
Poinar, Hendrik N., C. Schwarz, Ji Qi, et al.. (2005). Metagenomics to Paleogenomics: Large-Scale Sequencing of Mammoth DNA. Science. 311(5759). 392–394. 406 indexed citations
18.
Janka, Hans‐Thomas, R. Buras, Francisco-Shu Kitaura, et al.. (2005). Neutrino-driven supernovae: An accretion instability in a nuclear physics controlled environment. Nuclear Physics A. 758. 19–26. 27 indexed citations
19.
Liebendörfer, M., Markus Rampp, H. Th. Janka, & Anthony Mezzacappa. (2005). Supernova Simulations with Boltzmann Neutrino Transport: A Comparison of Methods. The Astrophysical Journal. 620(2). 840–860. 187 indexed citations
20.
Rampp, Markus & Hans‐Thomas Janka. (2002). Radiation hydrodynamics with neutrinos: Variable Eddington factor method for core-collapse supernova simulations. ArXiv.org. 170 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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