Jonas Glombitza

2.5k total citations
9 papers, 63 citations indexed

About

Jonas Glombitza is a scholar working on Nuclear and High Energy Physics, Radiation and Artificial Intelligence. According to data from OpenAlex, Jonas Glombitza has authored 9 papers receiving a total of 63 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Nuclear and High Energy Physics, 2 papers in Radiation and 2 papers in Artificial Intelligence. Recurrent topics in Jonas Glombitza's work include Astrophysics and Cosmic Phenomena (7 papers), Particle physics theoretical and experimental studies (4 papers) and Dark Matter and Cosmic Phenomena (4 papers). Jonas Glombitza is often cited by papers focused on Astrophysics and Cosmic Phenomena (7 papers), Particle physics theoretical and experimental studies (4 papers) and Dark Matter and Cosmic Phenomena (4 papers). Jonas Glombitza collaborates with scholars based in Germany. Jonas Glombitza's co-authors include M. Erdmann, D. Walz, Vikas Joshi, Teresa Bister, S. Funk, J. F. Schulte, Niklas Langner, M. Wirtz, L. Benato and W. Korcari and has published in prestigious journals such as Journal of Cosmology and Astroparticle Physics, Astroparticle Physics and Journal of Physics Conference Series.

In The Last Decade

Jonas Glombitza

6 papers receiving 58 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jonas Glombitza Germany	5	51	13	11	6	6	9	63
G. Schott Netherlands	3	61 1.2×	10 0.8×	14 1.3×	8 1.3×	3 0.5×	4	80
T. Todorov Switzerland	4	50 1.0×	10 0.8×	10 0.9×	4 0.7×	12 2.0×	7	64
R. Zhang United States	5	62 1.2×	7 0.5×	10 0.9×	4 0.7×	2 0.3×	9	67
A. Rýd United States	5	80 1.6×	6 0.5×	4 0.4×	5 0.8×	6 1.0×	12	92
Thomas Vuillaume France	5	49 1.0×	18 1.4×	7 0.6×	30 5.0×	3 0.5×	19	58
M. Büchele Germany	2	39 0.8×	12 0.9×	5 0.5×	20 3.3×	2 0.3×	2	51
Olaf Behnke Switzerland	3	52 1.0×	13 1.0×	9 0.8×	1 0.2×	4 0.7×	4	68
Pierluca Sangiorgi Italy	5	43 0.8×	17 1.3×	3 0.3×	16 2.7×	3 0.5×	24	61
O. Amram United States	4	64 1.3×	4 0.3×	35 3.2×	7 1.2×	3 0.5×	5	79
R. Pedro Portugal	3	59 1.2×	6 0.5×	37 3.4×	4 0.7×	5 0.8×	9	69

Countries citing papers authored by Jonas Glombitza

Since Specialization

Citations

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

Fields of papers citing papers by Jonas Glombitza

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonas Glombitza

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

All Works

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9 of 9 papers shown

1.

Glombitza, Jonas, et al.. (2025). Application of graph networks to a wide-field water-Cherenkov-based Gamma-ray Observatory. Journal of Cosmology and Astroparticle Physics. 2025(2). 66–66.

2.

Glombitza, Jonas, et al.. (2023). Application of graph networks to background rejection in Imaging Air Cherenkov Telescopes. Journal of Cosmology and Astroparticle Physics. 2023(11). 8–8. 6 indexed citations

3.

Glombitza, Jonas, et al.. (2023). Application of graph networks to $\gamma$/hadron separation in IACT image analyses. Proceedings Of Science. 715–715.

4.

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

5.

Erdmann, M., Jonas Glombitza, Gregor Kasieczka, & Uwe Klemradt. (2021). Deep Learning for Physics Research. WORLD SCIENTIFIC eBooks. 1 indexed citations

6.

Bister, Teresa, M. Erdmann, Jonas Glombitza, et al.. (2020). Identification of patterns in cosmic-ray arrival directions using dynamic graph convolutional neural networks. Astroparticle Physics. 126. 102527–102527. 13 indexed citations

7.

Erdmann, M. & Jonas Glombitza. (2020). Deep Learning based Algorithms in Astroparticle Physics. Journal of Physics Conference Series. 1525(1). 12112–12112.

8.

Glombitza, Jonas. (2019). Air-Shower Reconstruction at the Pierre Auger Observatory based on Deep Learning. Proceedings of 36th International Cosmic Ray Conference — PoS(ICRC2019). 270–270. 4 indexed citations

9.

Erdmann, M., Jonas Glombitza, & D. Walz. (2017). A deep learning-based reconstruction of cosmic ray-induced air showers. Astroparticle Physics. 97. 46–53. 29 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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