T. Horn

7.4k total citations · 1 hit paper
29 papers, 261 citations indexed

About

T. Horn is a scholar working on Nuclear and High Energy Physics, Radiation and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, T. Horn has authored 29 papers receiving a total of 261 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Nuclear and High Energy Physics, 5 papers in Radiation and 4 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in T. Horn's work include Particle physics theoretical and experimental studies (18 papers), High-Energy Particle Collisions Research (18 papers) and Quantum Chromodynamics and Particle Interactions (14 papers). T. Horn is often cited by papers focused on Particle physics theoretical and experimental studies (18 papers), High-Energy Particle Collisions Research (18 papers) and Quantum Chromodynamics and Particle Interactions (14 papers). T. Horn collaborates with scholars based in United States, Germany and Armenia. T. Horn's co-authors include R. H. Borcherts, T. Cole, A. Boehnlein, W. Nazarewicz, Markus Diefenthaler, Kostas Orginos, M. S. Smith, Michelle Kuchera, Xin-Nian Wang and Dean Lee and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and Reviews of Modern Physics.

In The Last Decade

T. Horn

24 papers receiving 252 citations

Hit Papers

Colloquium: Machine learning in nuclear physics 2022 2026 2023 2024 2022 40 80 120
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.

  1. Colloquium: Machine learning in nuclear physics
    2022 140 citations A. Boehnlein, Markus Diefenthaler et al. Reviews of Modern Physics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T. Horn United States 6 169 65 48 34 34 29 261
Tuncay Bayram Türkiye 11 212 1.3× 156 2.4× 89 1.9× 45 1.3× 46 1.4× 49 316
C. Pillai United States 9 196 1.2× 79 1.2× 85 1.8× 153 4.5× 22 0.6× 38 382
M. Seya Japan 6 212 1.3× 116 1.8× 50 1.0× 138 4.1× 30 0.9× 23 310
A. Kumar India 10 227 1.3× 174 2.7× 144 3.0× 53 1.6× 35 1.0× 43 298
I.V. Chuvilo Russia 10 179 1.1× 63 1.0× 45 0.9× 54 1.6× 21 0.6× 54 263
G. Rolandi Switzerland 8 287 1.7× 160 2.5× 23 0.5× 92 2.7× 10 0.3× 22 416
Jim Holt United States 8 151 0.9× 20 0.3× 46 1.0× 35 1.0× 28 0.8× 23 209
D. Perret-Gallix France 10 211 1.2× 34 0.5× 8 0.2× 31 0.9× 29 0.9× 32 284
P. Casoli France 7 231 1.4× 134 2.1× 144 3.0× 54 1.6× 56 1.6× 22 312

Countries citing papers authored by T. Horn

Since Specialization
Citations

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

Fields of papers citing papers by T. Horn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of T. Horn. A scholar is included among the top collaborators of T. Horn 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. Horn. T. Horn 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.
Weir‐McCall, Jonathan, T. Horn, Marion E. Hill, et al.. (2025). Regionally resolved cardiac metabolism using a dipole‐loop array coil for 7 T 31 P ‐ MRSI. Magnetic Resonance in Medicine. 94(2). 480–496.
2.
Shestakova, I., Jan Kovář, J. Houžvička, et al.. (2024). Novel 4x4 SiPM array readout with integrated preamplification stage, optimized for the PWO detectors of the EIC EEEMCal. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 1063. 169278–169278. 1 indexed citations
3.
Fanelli, C., Lino Oscar Gerlach, W. Guan, et al.. (2024). AI-assisted detector design for the EIC (AID(2)E). Journal of Instrumentation. 19(7). C07001–C07001. 2 indexed citations
4.
Boehnlein, A., Markus Diefenthaler, N. Sato, et al.. (2022). Colloquium: Machine learning in nuclear physics. Reviews of Modern Physics. 94(3). 140 indexed citations breakdown →
5.
Bedaque, Paulo F., A. Boehnlein, M. Cromaz, et al.. (2021). A.I. for nuclear physics. The European Physical Journal A. 57(3). 27 indexed citations
6.
Horn, T., et al.. (2019). Publisher's Note: Kaon transverse charge density from space- and timelike data [Phys. Rev. C 96, 065207 (2017)]. Physical review. C. 99(3). 1 indexed citations
7.
Kalicy, G., L. J. Allison, T. Cao, et al.. (2018). High-performance DIRC detector for the future Electron Ion Collider experiment. Journal of Instrumentation. 13(4). C04018–C04018. 7 indexed citations
8.
Horn, T.. (2017). Flavour Decomposition with Precision Pion and Kaon Cross Sections. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).
9.
Kinney, E., et al.. (2017). Testing of the SIDIS framework at Jefferson Lab Hall C using precise measurements of light meson electroproduction. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).
10.
Horn, T., et al.. (2017). Kaon transverse charge density from space- and timelike data. Physical review. C. 96(6). 3 indexed citations
11.
12.
Cao, T., R. Dzhygadlo, T. Horn, et al.. (2017). High-performance DIRC detector for use in an Electron-Ion Collider. 300–300.
13.
Horn, T., H. Mkrtchyan, Shahid Ali, et al.. (2016). The Aerogel Čerenkov detector for the SHMS magnetic spectrometer in Hall C at Jefferson Lab. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 842. 28–47. 1 indexed citations
14.
Horn, T.. (2015). A PbWO4-based Neutral Particle Spectrometer in Hall C at 12 GeV JLab. Journal of Physics Conference Series. 587. 12048–12048. 2 indexed citations
15.
Horn, T., et al.. (2014). Pion transverse charge density and the edge of hadrons. Physical Review C. 90(2). 9 indexed citations
16.
Mkrtchyan, A., et al.. (2013). A PbWO4-based Neutral Particle Spectrometer in Hall C at 12 GeV JLab. Bulletin of the American Physical Society. 2013.
17.
Horn, T.. (2012). Global analysis of exclusive kaon and pion electroproduction. Physical Review C. 85(1). 4 indexed citations
18.
Horn, T., Frank Klein, P. Nadel-Turoński, et al.. (2011). Timelike Compton Scattering. AIP conference proceedings. 542–545. 2 indexed citations
19.
Horn, T.. (2007). Scaling study of the pion electroproduction cross sections and the pion form factor. arXiv (Cornell University). 1 indexed citations
20.
Borcherts, R. H., T. Cole, & T. Horn. (1968). ESR and ENDOR Spectra of Gd3+ in CdF2. The Journal of Chemical Physics. 49(11). 4880–4887. 32 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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