K. Krüger

5.7k total citations
14 papers, 390 citations indexed

About

K. Krüger is a scholar working on Nuclear and High Energy Physics, Radiation and Artificial Intelligence. According to data from OpenAlex, K. Krüger has authored 14 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Nuclear and High Energy Physics, 2 papers in Radiation and 2 papers in Artificial Intelligence. Recurrent topics in K. Krüger's work include Particle physics theoretical and experimental studies (9 papers), High-Energy Particle Collisions Research (7 papers) and Particle Detector Development and Performance (6 papers). K. Krüger is often cited by papers focused on Particle physics theoretical and experimental studies (9 papers), High-Energy Particle Collisions Research (7 papers) and Particle Detector Development and Performance (6 papers). K. Krüger collaborates with scholars based in Germany, Ukraine and United Kingdom. K. Krüger's co-authors include Frank Gaede, Sascha Diefenbacher, Engin Eren, Erik Buhmann, Gregor Kasieczka, Gerd Wiebusch, H. Rottke, W. Korcari, A. Holle and Jörg Main and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and The European Physical Journal C.

In The Last Decade

K. Krüger

13 papers receiving 384 citations

Peers

K. Krüger

NHEP

AI

SNP

AMPO

CVPR

Federico Carminati Switzerland

Takaomi Shigehara Japan

David Kagan United States

Johann Brehmer United States

Juan Pavez Chile

Chiu Man Ho United States

Yong-Long Wang China

Alexander Radovic Italy

H. Strubbe Switzerland

Martin Fink Germany

Federico Carminati Switzerland

K. Krüger

156 ×0.8

NHEP

107 ×1.0

AI

19 ×0.3

SNP

42 ×0.6

AMPO

29 ×0.6

CVPR

Citations per year, relative to K. Krüger K. Krüger (= 1×) peers Federico Carminati

Countries citing papers authored by K. Krüger

Since Specialization

Citations

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

Fields of papers citing papers by K. Krüger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Krüger

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

All Works

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14 of 14 papers shown

1.

Gaede, Frank, et al.. (2026). CaloHadronic : a diffusion model for the generation of hadronic showers. Journal of Instrumentation. 21(1). P01042–P01042.

2.

Buhmann, Erik, et al.. (2024). CaloClouds II: ultra-fast geometry-independent highly-granular calorimeter simulation. Journal of Instrumentation. 19(4). P04020–P04020. 17 indexed citations

3.

Buhmann, Erik, Sascha Diefenbacher, Engin Eren, et al.. (2023). CaloClouds: fast geometry-independent highly-granular calorimeter simulation. Journal of Instrumentation. 18(11). P11025–P11025. 36 indexed citations

4.

Buhmann, Erik, Sascha Diefenbacher, Engin Eren, et al.. (2023). Fast Simulation of Highly Granular Calorimeters with Generative Models: Towards a First Physics Application. 568–568. 2 indexed citations

5.

Diefenbacher, Sascha, Engin Eren, Frank Gaede, et al.. (2023). New angles on fast calorimeter shower simulation. Machine Learning Science and Technology. 4(3). 35044–35044. 24 indexed citations

6.

Buhmann, Erik, Sascha Diefenbacher, Gregor Kasieczka, et al.. (2022). Hadrons, better, faster, stronger. Machine Learning Science and Technology. 3(2). 25014–25014. 43 indexed citations

7.

Buhmann, Erik, Sascha Diefenbacher, Engin Eren, et al.. (2021). Decoding Photons: Physics in the Latent Space of a BIB-AE Generative Network. SHILAP Revista de lepidopterología. 251. 3003–3003. 43 indexed citations

8.

Buhmann, Erik, Sascha Diefenbacher, Engin Eren, et al.. (2021). Fast and Accurate Electromagnetic and Hadronic Showers from Generative Models. SHILAP Revista de lepidopterología. 251. 3049–3049. 10 indexed citations

9.

Buhmann, Erik, Sascha Diefenbacher, Engin Eren, et al.. (2021). Getting High: High Fidelity Simulation of High Granularity Calorimeters with High Speed. arXiv (Cornell University). 5(1). 72 indexed citations

10.

Hansen, K., K. Krüger, Felix Sefkow, et al.. (2018). Readout of digital SiPMs. 1–3. 2 indexed citations

11.

Krüger, K., et al.. (2017). Software compensation in particle flow reconstruction. The European Physical Journal C. 77(10). 698–698. 9 indexed citations

12.

Hansen, K., K. Krüger, Felix Sefkow, et al.. (2015). Readout ASIC for fast digital imaging using SiPM sensors: Concept study. 1–3. 5 indexed citations

13.

Mast, Marcus, Michael Burmester, K. Krüger, et al.. (2012). User-Centered Design of a Dynamic-Autonomy Remote Interaction Concept for Manipulation-Capable Robots to Assist Elderly People in the Home. KTH Publication Database DiVA (KTH Royal Institute of Technology). 96–118. 56 indexed citations

14.

Wiebusch, Gerd, Jörg Main, K. Krüger, et al.. (1989). Hydrogen atom in crossed magnetic and electric fields. Physical Review Letters. 62(24). 2821–2824. 71 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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