T. Kuhr

44.6k total citations
23 papers, 154 citations indexed

About

T. Kuhr is a scholar working on Nuclear and High Energy Physics, Radiation and Computer Networks and Communications. According to data from OpenAlex, T. Kuhr has authored 23 papers receiving a total of 154 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Nuclear and High Energy Physics, 5 papers in Radiation and 4 papers in Computer Networks and Communications. Recurrent topics in T. Kuhr's work include Particle physics theoretical and experimental studies (17 papers), Particle Detector Development and Performance (13 papers) and Radiation Detection and Scintillator Technologies (5 papers). T. Kuhr is often cited by papers focused on Particle physics theoretical and experimental studies (17 papers), Particle Detector Development and Performance (13 papers) and Radiation Detection and Scintillator Technologies (5 papers). T. Kuhr collaborates with scholars based in Germany, Japan and United States. T. Kuhr's co-authors include M. Ritter, N. Braun, T. Hauth, C. Pulvermacher, Tobias Braun, Thomas Förster, Reinhard Gotzhein, V. Lüth, R. Kowalewski and G. Ciezarek and has published in prestigious journals such as Nature, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

T. Kuhr

19 papers receiving 148 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T. Kuhr Germany 7 104 22 21 19 18 23 154
P. Vande Vyvre Switzerland 8 151 1.5× 24 1.1× 14 0.7× 16 0.8× 126 7.0× 43 209
J. Kieseler Switzerland 6 115 1.1× 29 1.3× 42 2.0× 5 0.3× 12 0.7× 15 159
T. Hauth Germany 5 51 0.5× 12 0.5× 8 0.4× 19 1.0× 28 1.6× 14 87
Philippe Canal United States 7 54 0.5× 14 0.6× 25 1.2× 35 1.8× 96 5.3× 42 152
Jim Kowalkowski United States 8 82 0.8× 11 0.5× 47 2.2× 24 1.3× 87 4.8× 41 206
R. Divià Switzerland 6 34 0.3× 7 0.3× 23 1.1× 11 0.6× 37 2.1× 25 80
F. Ould-Saada Norway 7 91 0.9× 15 0.7× 6 0.3× 21 1.1× 56 3.1× 23 159
P. Eerola Canada 7 127 1.2× 13 0.6× 6 0.3× 26 1.4× 74 4.1× 20 224
P. Kyberd United Kingdom 7 103 1.0× 10 0.5× 12 0.6× 12 0.6× 44 2.4× 16 181
J. A. Templon Netherlands 7 62 0.6× 6 0.3× 11 0.5× 41 2.2× 98 5.4× 24 171

Countries citing papers authored by T. Kuhr

Since Specialization
Citations

This map shows the geographic impact of T. Kuhr'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 T. Kuhr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Kuhr more than expected).

Fields of papers citing papers by T. Kuhr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Kuhr

This figure shows the co-authorship network connecting the top 25 collaborators of T. Kuhr. A scholar is included among the top collaborators of T. Kuhr 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 T. Kuhr. T. Kuhr 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.
Küchemann, Stefan, Karina E. Avila, Steffen Steinert, et al.. (2025). On opportunities and challenges of large multimodal foundation models in education. npj Science of Learning. 10(1). 11–11. 9 indexed citations
2.
Hartmann, N. M., et al.. (2024). Ultra-high-granularity detector simulation with intra-event aware generative adversarial network and self-supervised relational reasoning. Nature Communications. 15(1). 4916–4916. 14 indexed citations
3.
Benato, L., Erik Buhmann, M. Erdmann, et al.. (2022). Shared Data and Algorithms for Deep Learning in Fundamental Physics. arXiv (Cornell University). 6(1). 10 indexed citations
4.
Hartmann, N. M., et al.. (2021). Pixel Detector Background Generation using Generative Adversarial Networks at Belle II. SHILAP Revista de lepidopterología. 251. 3031–3031. 3 indexed citations
5.
Krohn, J. F., F. Tenchini, P. Urquijo, et al.. (2020). Global decay chain vertex fitting at Belle II. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 976. 164269–164269. 4 indexed citations
6.
Kahn, J., et al.. (2020). Selective background Monte Carlo simulation at Belle II. SHILAP Revista de lepidopterología. 245. 2028–2028. 1 indexed citations
7.
Aebischer, Jason, T. Kuhr, & K. Lieret. (2020). Clustering of $$ \overline{B}\to {D}^{\left(\ast \right)}{\tau}^{-}{\overline{\nu}}_{\tau } $$ kinematic distributions with ClusterKinG. Journal of High Energy Physics. 2020(4). 2 indexed citations
8.
Ritter, M., et al.. (2020). Generation of Belle II Pixel Detector Background Data with a GAN. SHILAP Revista de lepidopterología. 245. 2010–2010. 4 indexed citations
9.
Wood, L., et al.. (2019). Performance of the Belle II Conditions Database. SHILAP Revista de lepidopterología. 214. 4050–4050. 1 indexed citations
10.
Kuhr, T.. (2019). Belle II at the Start of Data Taking. SHILAP Revista de lepidopterología. 214. 9004–9004. 2 indexed citations
11.
Kuhr, T., et al.. (2019). Belle II virtual reality projects. SHILAP Revista de lepidopterología. 214. 2028–2028.
12.
Kuhr, T., C. Pulvermacher, M. Ritter, T. Hauth, & N. Braun. (2018). The Belle II Core Software. arXiv (Cornell University). 3(1). 38 indexed citations
13.
Ritter, M., L. Wood, T. Kuhr, et al.. (2018). Belle II Conditions Database. Journal of Physics Conference Series. 1085. 32032–32032.
14.
Ciezarek, G., M. Franco Sevilla, B. Hamilton, et al.. (2017). A challenge to lepton universality in B-meson decays. Nature. 546(7657). 227–233. 27 indexed citations
15.
Sevior, M. E., et al.. (2017). Index files for Belle II - very small skim containers. Journal of Physics Conference Series. 898. 92031–92031. 1 indexed citations
16.
Ritter, M., et al.. (2017). Software Quality Control at Belle II. Journal of Physics Conference Series. 898. 72029–72029. 1 indexed citations
17.
Dossett, D., M. E. Sevior, M. Ritter, et al.. (2017). Status of the calibration and alignment framework at the Belle II experiment. Journal of Physics Conference Series. 898. 32032–32032. 2 indexed citations
18.
Ritter, M., et al.. (2017). High Level Interface to Conditions Data at Belle II. Journal of Physics Conference Series. 898. 42046–42046.
19.
Kuhr, T., Thomas Förster, Tobias Braun, & Reinhard Gotzhein. (2013). FERAL — Framework for simulator coupling on requirements and architecture level. Formal Methods. 11–22. 25 indexed citations
20.
Kuhr, T.. (2012). Flavor Physics at the Tevatron. Springer tracts in modern physics. 2 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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