Erik Buhmann

574 total citations
12 papers, 290 citations indexed

About

Erik Buhmann is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Erik Buhmann has authored 12 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Nuclear and High Energy Physics, 5 papers in Artificial Intelligence and 2 papers in Computational Mechanics. Recurrent topics in Erik Buhmann's work include Particle physics theoretical and experimental studies (10 papers), High-Energy Particle Collisions Research (6 papers) and Computational Physics and Python Applications (5 papers). Erik Buhmann is often cited by papers focused on Particle physics theoretical and experimental studies (10 papers), High-Energy Particle Collisions Research (6 papers) and Computational Physics and Python Applications (5 papers). Erik Buhmann collaborates with scholars based in Germany, United States and Ukraine. Erik Buhmann's co-authors include Gregor Kasieczka, Frank Gaede, K. Krüger, Engin Eren, Sascha Diefenbacher, W. Korcari, Jesse Thaler, L. Rustige, David Shih and V. M. Mikuni and has published in prestigious journals such as SHILAP Revista de lepidopterología, Physical review. D and SciPost Physics.

In The Last Decade

Erik Buhmann

12 papers receiving 290 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Erik Buhmann Germany 9 227 95 41 24 23 12 290
Sascha Diefenbacher Germany 10 252 1.1× 90 0.9× 39 1.0× 28 1.2× 22 1.0× 16 320
Engin Eren Germany 7 210 0.9× 80 0.8× 38 0.9× 25 1.0× 21 0.9× 11 266
T. Golling Switzerland 13 336 1.5× 90 0.9× 19 0.5× 9 0.4× 22 1.0× 34 388
Ramon Winterhalder Germany 7 185 0.8× 73 0.8× 16 0.4× 17 0.7× 8 0.3× 11 233
H. Qu China 6 273 1.2× 108 1.1× 21 0.5× 20 0.8× 9 0.4× 15 348
J. A. Raine Switzerland 10 142 0.6× 59 0.6× 15 0.4× 6 0.3× 7 0.3× 19 179
L. Gouskos Switzerland 3 157 0.7× 58 0.6× 14 0.3× 7 0.3× 9 0.4× 5 197
V. Kartvelishvili United Kingdom 9 389 1.7× 30 0.3× 11 0.3× 8 0.3× 28 1.2× 35 473
Theo Heimel Germany 8 152 0.7× 58 0.6× 12 0.3× 16 0.7× 10 0.4× 9 192
S.‐C. Hsu United States 7 167 0.7× 64 0.7× 12 0.3× 11 0.5× 13 0.6× 33 229

Countries citing papers authored by Erik Buhmann

Since Specialization
Citations

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

Fields of papers citing papers by Erik Buhmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erik Buhmann

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

All Works

12 of 12 papers shown
1.
Buhmann, Erik, et al.. (2025). Flow matching beyond kinematics: Generating jets with particle identification and trajectory displacement information. Physical review. D. 111(5). 4 indexed citations
2.
Buhmann, Erik, et al.. (2024). Full phase space resonant anomaly detection. Physical review. D. 109(5). 16 indexed citations
3.
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
4.
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
5.
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
6.
Buhmann, Erik, Gregor Kasieczka, & Jesse Thaler. (2023). EPiC-GAN: Equivariant point cloud generation for particle jets. SciPost Physics. 15(4). 36 indexed citations
7.
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
8.
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
9.
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
10.
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
11.
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
12.
Buhmann, Erik & Gerald Kirchner. (2018). Proliferation Relevance and Safeguards Implications of Partitioning and Transmutation Nuclear Fuel Cycles. Science and Global Security. 26(2-3). 91–108. 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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