Thorsten Kurth

4.3k total citations · 1 hit paper
60 papers, 1.6k citations indexed

About

Thorsten Kurth is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications and Hardware and Architecture. According to data from OpenAlex, Thorsten Kurth has authored 60 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Nuclear and High Energy Physics, 9 papers in Computer Networks and Communications and 8 papers in Hardware and Architecture. Recurrent topics in Thorsten Kurth's work include Particle physics theoretical and experimental studies (35 papers), Quantum Chromodynamics and Particle Interactions (32 papers) and High-Energy Particle Collisions Research (20 papers). Thorsten Kurth is often cited by papers focused on Particle physics theoretical and experimental studies (35 papers), Quantum Chromodynamics and Particle Interactions (32 papers) and High-Energy Particle Collisions Research (20 papers). Thorsten Kurth collaborates with scholars based in United States, Germany and France. Thorsten Kurth's co-authors include Christian Hoelbling, Stefan Krieg, S. D. Katz, Z. Fodor, Thomas Lippert, Stephan Dürr, K. K. Szabó, Laurent Lellouch, André Walker-Loud and Laurent Lellouch and has published in prestigious journals such as Nature, Physical Review Letters and SHILAP Revista de lepidopterología.

In The Last Decade

Thorsten Kurth

52 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

FourCastNet: Accelerating Global High-Resolution Weather Forecasting Using Adaptive Fourier Neural Operators

2023 98 citations Thorsten Kurth, Shashank Subramanian et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thorsten Kurth United States	21	1.1k	109	106	102	87	60	1.6k
Pier Stanislao Paolucci Italy	17	378 0.3×	31 0.3×	204 1.9×	244 2.4×	51 0.6×	93	1.2k
J. Szymański United States	19	500 0.4×	301 2.8×	47 0.4×	51 0.5×	209 2.4×	69	1.6k
D. Pleiter Germany	31	2.5k 2.2×	114 1.0×	107 1.0×	131 1.3×	20 0.2×	158	2.7k
John Dubinski Canada	22	378 0.3×	106 1.0×	44 0.4×	51 0.5×	60 0.7×	39	2.0k
Alice Koniges United States	13	235 0.2×	32 0.3×	125 1.2×	158 1.5×	27 0.3×	74	559
Andrew Myers United States	15	240 0.2×	104 1.0×	64 0.6×	114 1.1×	67 0.8×	34	1.3k
George Vahala United States	21	331 0.3×	333 3.1×	23 0.2×	62 0.6×	145 1.7×	143	1.5k
S. Ku United States	25	1.5k 1.3×	98 0.9×	128 1.2×	274 2.7×	90 1.0×	94	1.9k
S. Ethier United States	22	1.0k 0.9×	122 1.1×	343 3.2×	544 5.3×	105 1.2×	103	1.7k
V. Roytershteyn United States	33	1.1k 1.0×	209 1.9×	65 0.6×	136 1.3×	69 0.8×	100	3.6k

Countries citing papers authored by Thorsten Kurth

Since Specialization

Citations

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

Fields of papers citing papers by Thorsten Kurth

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thorsten Kurth

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Brenowitz, Noah, Yair Cohen, Jaideep Pathak, et al.. (2025). A Practical Probabilistic Benchmark for AI Weather Models. Geophysical Research Letters. 52(7). 8 indexed citations

Mahesh, Ankur, William D. Collins, Noah Brenowitz, et al.. (2025). Huge ensembles – Part 1: Design of ensemble weather forecasts using spherical Fourier neural operators. Geoscientific model development. 18(17). 5575–5603. 2 indexed citations

Mahesh, Ankur, William D. Collins, Noah Brenowitz, et al.. (2025). Huge ensembles – Part 2: Properties of a huge ensemble of hindcasts generated with spherical Fourier neural operators. Geoscientific model development. 18(17). 5605–5633. 1 indexed citations

Durran, Dale R., et al.. (2024). Advancing Parsimonious Deep Learning Weather Prediction Using the HEALPix Mesh. Journal of Advances in Modeling Earth Systems. 16(8). 11 indexed citations

Kurth, Thorsten, Shashank Subramanian, Peter Harrington, et al.. (2023). FourCastNet: Accelerating Global High-Resolution Weather Forecasting Using Adaptive Fourier Neural Operators. 1–11. 98 indexed citations breakdown →

Tsaris, Aristeidis, Joshua Romero, Thorsten Kurth, et al.. (2023). Scaling Resolution of Gigapixel Whole Slide Images Using Spatial Decomposition on Convolutional Neural Networks. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–11.

Pathak, Jaideep, Mustafa Mustafa, Karthik Kashinath, et al.. (2021). ML-PDE: A Framework for a Machine Learning Enhanced PDE Solver. Bulletin of the American Physical Society. 1 indexed citations

Monge-Camacho, Henry, Chia Cheng Chang, Ben Hörz, et al.. (2020). FK/Fπ from Möbius domain-wall fermions solved on gradient-flowed HISQ ensembles. Physical review. D. 102(3). 24 indexed citations

Kurth, Thorsten, et al.. (2019). Hierarchical Roofline analysis for GPUs: Accelerating performance optimization for the NERSC‐9 Perlmutter system. Concurrency and Computation Practice and Experience. 32(20). 37 indexed citations

10.

Kurth, Thorsten, Sean Treichler, Joshua Romero, et al.. (2018). Exascale deep learning for climate analytics. arXiv (Cornell University). 51. 29 indexed citations

11.

Berkowitz, Evan, M. A. Clark, Amy Nicholson, et al.. (2018). Simulating the weak death of the Neutron in a femtoscale universe with near-exascale computing. arXiv (Cornell University). 697–705. 6 indexed citations

12.

Berkowitz, Evan, Henry Monge-Camacho, David Brantley, et al.. (2018). Heavy Physics Contributions to Neutrinoless Double Beta Decay from QCD. Physical Review Letters. 121(17). 172501–172501. 48 indexed citations

13.

Chang, Chia Cheng, Anthony N. Nicholson, Enrico Rinaldi, et al.. (2018). A per-cent-level determination of the nucleon axial coupling from quantum chromodynamics. Nature. 558(7708). 91–94. 127 indexed citations

14.

Chang, Chia Cheng, Amy Nicholson, Enrico Rinaldi, et al.. (2018). Nucleon axial coupling from Lattice QCD. SHILAP Revista de lepidopterología. 175. 1008–1008. 9 indexed citations

15.

Zhang, Meng, Alice Koniges, Yingjie He, et al.. (2017). International Workshop on Open MP (IWOMP). eScholarship (California Digital Library). 2 indexed citations

16.

Bouchard, Chris, Chia Cheng Chang, Thorsten Kurth, Kostas Orginos, & André Walker-Loud. (2017). On the Feynman-Hellmann theorem in quantum field theory and the calculation of matrix elements. Physical review. D. 96(1). 43 indexed citations

17.

Berkowitz, Evan, Thorsten Kurth, Amy Nicholson, et al.. (2016). Two-nucleon higher partial-wave scattering from lattice QCD. Physics Letters B. 765. 285–292. 74 indexed citations

18.

Portelli, Antonin, Stephan Dürr, Z. Fodor, et al.. (2012). Systematic errors in partially-quenched QCD plus QED lattice simulations. arXiv (Cornell University). 136–136. 6 indexed citations

19.

Portelli, Antonin, Stephan Dürr, Z. Fodor, et al.. (2011). Electromagnetic corrections to light hadron masses. arXiv (Cornell University). 121–121. 10 indexed citations

20.

Dürr, Stephan, Z. Fodor, Christian Hoelbling, et al.. (2009). Scaling study of dynamical smeared-link clover fermions. Physical review. D. Particles, fields, gravitation, and cosmology. 79(1). 39 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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