Michael Krämer

21.8k total citations
82 papers, 3.2k citations indexed

About

Michael Krämer is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Artificial Intelligence. According to data from OpenAlex, Michael Krämer has authored 82 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Nuclear and High Energy Physics, 18 papers in Astronomy and Astrophysics and 6 papers in Artificial Intelligence. Recurrent topics in Michael Krämer's work include Particle physics theoretical and experimental studies (77 papers), High-Energy Particle Collisions Research (40 papers) and Quantum Chromodynamics and Particle Interactions (36 papers). Michael Krämer is often cited by papers focused on Particle physics theoretical and experimental studies (77 papers), High-Energy Particle Collisions Research (40 papers) and Quantum Chromodynamics and Particle Interactions (36 papers). Michael Krämer collaborates with scholars based in Germany, Switzerland and United Kingdom. Michael Krämer's co-authors include Eric Laenen, Stefan Dittmaier, W. Beenakker, P.M. Zerwas, Jürgen Körner, Michael Spira, A. Cuoco, Michael Korsmeier, Herbi K. Dreiner and Tilman Plehn and has published in prestigious journals such as Physical Review Letters, Nucleic Acids Research and Nuclear Physics B.

In The Last Decade

Michael Krämer

78 papers receiving 3.2k 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 Krämer Germany 32 3.1k 662 112 64 51 82 3.2k
L. Lavoura Portugal 27 4.2k 1.3× 805 1.2× 128 1.1× 57 0.9× 19 0.4× 98 4.3k
Christoph Englert United Kingdom 31 2.8k 0.9× 765 1.2× 117 1.0× 42 0.7× 56 1.1× 118 2.9k
Robert V. Harlander Germany 29 3.6k 1.2× 481 0.7× 99 0.9× 69 1.1× 46 0.9× 86 3.7k
Alberto Guffanti United Kingdom 22 3.6k 1.1× 368 0.6× 136 1.2× 52 0.8× 90 1.8× 43 3.7k
Martin Gorbahn United Kingdom 25 2.5k 0.8× 302 0.5× 59 0.5× 62 1.0× 18 0.4× 38 2.5k
Céline Degrande Belgium 18 3.4k 1.1× 863 1.3× 154 1.4× 37 0.6× 69 1.4× 32 3.5k
Andrea Wulzer Italy 28 2.2k 0.7× 646 1.0× 222 2.0× 46 0.7× 22 0.4× 49 2.3k
W. J. Stirling United Kingdom 29 4.6k 1.5× 334 0.5× 72 0.6× 79 1.2× 39 0.8× 101 4.7k
P. S. Bhupal Dev United States 44 4.6k 1.5× 1.1k 1.6× 113 1.0× 117 1.8× 16 0.3× 124 4.7k
J. A. Aguilar–Saavedra Spain 33 3.3k 1.0× 318 0.5× 214 1.9× 159 2.5× 34 0.7× 104 3.4k

Countries citing papers authored by Michael Krämer

Since Specialization
Citations

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

Fields of papers citing papers by Michael Krämer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Krämer

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Krämer. A scholar is included among the top collaborators of Michael Krämer 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 Krämer. Michael Krämer 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.
Krämer, Michael, et al.. (2025). Semi-visible jets, energy-based models, and self-supervision. SciPost Physics. 18(2). 2 indexed citations
2.
Krämer, Michael, et al.. (2025). Fundamental limit of jet tagging. Physical review. D. 112(9). 1 indexed citations
3.
Krämer, Michael, et al.. (2025). SECRET: Stochasticity Emulator for Cosmic Ray Electrons. Journal of Cosmology and Astroparticle Physics. 2025(8). 7–7.
4.
Krämer, Michael, et al.. (2024). A scalable approach for critical care data extraction and analysis in an academic medical center. International Journal of Medical Informatics. 192. 105611–105611. 3 indexed citations
5.
Kasieczka, Gregor, Michael Krämer, Alexander Mück, et al.. (2024). Tree-based algorithms for weakly supervised anomaly detection. Physical review. D. 109(3). 12 indexed citations
6.
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.
7.
Arina, Chiara, Benjamin Fuks, Jan Heisig, et al.. (2023). Comprehensive exploration of t-channel simplified models of dark matter. Physical review. D. 108(11). 7 indexed citations
8.
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
9.
Butterworth, J. M., D. Grellscheid, Michael Krämer, Björn Sarrazin, & D. P. Yallup. (2017). Constraining new physics with collider measurements of Standard Model signatures. Durham Research Online (Durham University). 35 indexed citations
10.
Bechtle, P., K. Desch, Herbert K. Dreiner, et al.. (2016). How alive is constrained SUSY really?. Nuclear and Particle Physics Proceedings. 273-275. 589–594. 6 indexed citations
11.
Beenakker, W., et al.. (2016). NNLL resummation for stop pair-production at the LHC. Journal of High Energy Physics. 2016(5). 18 indexed citations
12.
Czakon, M., Michael Krämer, & Małgorzata Worek. (2015). Automated NLO/NLL Monte Carlo programs for the LHC. Nuclear and Particle Physics Proceedings. 261-262. 93–114. 1 indexed citations
13.
Backović, Mihailo, et al.. (2015). Higher-order QCD predictions for dark matter production at the LHC in simplified models with s-channel mediators. The European Physical Journal C. 75(10). 482–482. 52 indexed citations
14.
Borschensky, Christoph, Michael Krämer, Anna Kulesza, et al.. (2014). Squark and gluino production cross sections in $$pp$$ p p collisions at $$\sqrt{s} = 13, 14, 33$$ s = 13 , 14 , 33 and $$100$$ 100 TeV. The European Physical Journal C. 74(12). 3174–3174. 81 indexed citations
15.
Krämer, Michael, Peter Wienemann, Herbi K. Dreiner, et al.. (2012). Constrained supersymmetric models in the light of LHC exclusions, precision measurements and astroparticle physics. 54. 258–266. 1 indexed citations
16.
Beenakker, W., Silja Brensing, Michael Krämer, et al.. (2011). SQUARK AND GLUINO HADROPRODUCTION. International Journal of Modern Physics A. 26(16). 2637–2664. 93 indexed citations
17.
Krämer, Michael. (2004). Associated Higgs production with bottom quarks at hadron colliders. 4 indexed citations
18.
Krämer, Michael, Fred Olness, & Davison E. Soper. (2000). Treatment of heavy quarks in deeply inelastic scattering. Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields. 62(9). 119 indexed citations
19.
Krämer, Michael. (1998). 1 Supersymmetric particle production at hadron colliders. Science and Technology Facilities Council. 2 indexed citations
20.
Białas, P., Jürgen Körner, Michael Krämer, & K. Zalewski. (1993). Joint angular decay distributions in exclusive weak decays of heavy mesons and baryons. The European Physical Journal C. 57(1). 115–134. 51 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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