Michael Korsmeier

964 total citations
25 papers, 506 citations indexed

About

Michael Korsmeier is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Michael Korsmeier has authored 25 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Nuclear and High Energy Physics, 11 papers in Astronomy and Astrophysics and 3 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Michael Korsmeier's work include Dark Matter and Cosmic Phenomena (23 papers), Particle physics theoretical and experimental studies (16 papers) and Cosmology and Gravitation Theories (7 papers). Michael Korsmeier is often cited by papers focused on Dark Matter and Cosmic Phenomena (23 papers), Particle physics theoretical and experimental studies (16 papers) and Cosmology and Gravitation Theories (7 papers). Michael Korsmeier collaborates with scholars based in Germany, Italy and Sweden. Michael Korsmeier's co-authors include A. Cuoco, Michael Krämer, Jan Heisig, Mattia Di Mauro, Fiorenza Donato, N. Fornengo, Silvia Manconi, Marco Regis, H.-S. Zechlin and Felix Kahlhoefer and has published in prestigious journals such as Physical Review Letters, Physical review. D and Advances in Space Research.

In The Last Decade

Michael Korsmeier

22 papers receiving 491 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Korsmeier Germany 10 488 254 45 11 9 25 506
G. L. Bashindzhagyan Russia 5 662 1.4× 376 1.5× 42 0.9× 17 1.5× 12 1.3× 28 680
N. V. Sokolskaya Russia 5 738 1.5× 402 1.6× 41 0.9× 11 1.0× 15 1.7× 21 755
H. S. Ahn United States 4 625 1.3× 369 1.5× 39 0.9× 10 0.9× 7 0.8× 13 642
J. Isbert United States 4 640 1.3× 373 1.5× 41 0.9× 19 1.7× 13 1.4× 15 662
Yu-Feng Zhou China 18 753 1.5× 401 1.6× 73 1.6× 10 0.9× 7 0.8× 65 787
S. Coutu United States 9 759 1.6× 432 1.7× 38 0.8× 17 1.5× 14 1.6× 40 783
E. Kuznetsov Russia 2 604 1.2× 362 1.4× 39 0.9× 18 1.6× 21 2.3× 6 637
A. Letessier‐Selvon France 9 492 1.0× 159 0.6× 26 0.6× 6 0.5× 4 0.4× 29 515
J. Wu China 2 601 1.2× 360 1.4× 39 0.9× 10 0.9× 2 0.2× 7 620
Vivian Poulin France 10 502 1.0× 474 1.9× 17 0.4× 6 0.5× 6 0.7× 12 608

Countries citing papers authored by Michael Korsmeier

Since Specialization
Citations

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

Fields of papers citing papers by Michael Korsmeier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Korsmeier

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Korsmeier. A scholar is included among the top collaborators of Michael Korsmeier 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 Michael Korsmeier. Michael Korsmeier 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.
Délos, M., Michael Korsmeier, Axel Widmark, et al.. (2024). Limits on dark matter annihilation in prompt cusps from the isotropic gamma-ray background. Physical review. D. 109(8). 7 indexed citations
2.
Heisig, Jan, et al.. (2024). DarkRayNet: emulation of cosmic-ray antideuteron fluxes from dark matter. Journal of Cosmology and Astroparticle Physics. 2024(11). 17–17.
3.
Mauro, Mattia Di, Michael Korsmeier, & A. Cuoco. (2024). Data-driven constraints on cosmic-ray diffusion: Probing self-generated turbulence in the Milky Way. Physical review. D. 109(12). 6 indexed citations
4.
Mauro, Mattia Di, et al.. (2023). New determination of the production cross section for $\gamma$ rays in the Galaxy. INFM-OAR (INFN Catania). 264–264. 1 indexed citations
5.
Kahlhoefer, Felix, et al.. (2023). Fast and accurate AMS-02 antiproton likelihoods for global dark matter fits. Journal of Cosmology and Astroparticle Physics. 2023(8). 52–52. 7 indexed citations
6.
Regis, Marco, et al.. (2023). The self-confinement of electrons and positrons from dark matter. Journal of Cosmology and Astroparticle Physics. 2023(8). 30–30. 6 indexed citations
7.
Widmark, Axel, Michael Korsmeier, & Tim Linden. (2023). Weighing the Local Interstellar Medium Using Gamma Rays and Dust. Physical Review Letters. 130(16). 161002–161002. 3 indexed citations
8.
Mauro, Mattia Di, et al.. (2023). New determination of the production cross section for γ rays in the Galaxy. Physical review. D. 107(8). 5 indexed citations
9.
Mauro, Mattia Di, et al.. (2023). Novel prediction for secondary positrons and electrons in the Galaxy. Physical review. D. 108(6). 8 indexed citations
10.
Korsmeier, Michael & A. Cuoco. (2021). Implications of lithium to oxygen AMS-02 spectra on our understanding of cosmic-ray diffusion. Physical review. D. 103(10). 35 indexed citations
11.
Korsmeier, Michael & A. Cuoco. (2021). The role of systematic uncertainties on our understanding of cosmic-ray diffusion: An analysis of AMS-02 data from Lithium to Oxygen. Proceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021). 176–176. 1 indexed citations
12.
Kahlhoefer, Felix, et al.. (2021). Constraining Dark Matter Annihilation with Cosmic Ray Antiprotons using Neural Networks. Journal of Physics Conference Series. 2156(1). 12030–12030. 1 indexed citations
13.
Heisig, Jan, Michael Korsmeier, & Martin Wolfgang Winkler. (2021). Revisiting the AMS-02 antiproton excess: The role of correlated errors. Proceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021). 575–575. 2 indexed citations
14.
Manconi, Silvia, Michael Korsmeier, Fiorenza Donato, et al.. (2020). Testing gamma-ray models of blazars in the extragalactic sky. Physical review. D. 101(10). 13 indexed citations
15.
Manconi, Silvia, Fiorenza Donato, N. Fornengo, Michael Korsmeier, & Marco Regis. (2019). Probing the gamma-ray source populations with photon count statistics and anisotropies. Proceedings of 36th International Cosmic Ray Conference — PoS(ICRC2019). 581–581.
16.
Donato, Fiorenza, et al.. (2019). Production cross sections of cosmic antiprotons in the light of new data from the NA61 and LHCb experiments. Proceedings of 36th International Cosmic Ray Conference — PoS(ICRC2019). 61–61.
17.
Cuoco, A., Jan Heisig, Michael Korsmeier, & Michael Krämer. (2018). Constraining heavy dark matter with cosmic-ray antiprotons. Journal of Cosmology and Astroparticle Physics. 2018(4). 4–4. 47 indexed citations
18.
Cuoco, A., Michael Krämer, & Michael Korsmeier. (2017). Novel Dark Matter Constraints from Antiprotons in Light of AMS-02. Physical Review Letters. 118(19). 191102–191102. 129 indexed citations
19.
Korsmeier, Michael & A. Cuoco. (2016). Galactic cosmic-ray propagation in the light of AMS-02: Analysis of protons, helium, and antiprotons. Physical review. D. 94(12). 47 indexed citations
20.
Obermeier, Andreas & Michael Korsmeier. (2014). Cross-calibration of the transition radiation detector of AMS-02 for an energy measurement of cosmic-ray ions. Advances in Space Research. 55(2). 716–721. 1 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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