K. Terao

15.9k total citations · 1 hit paper
26 papers, 450 citations indexed

About

K. Terao is a scholar working on Condensed Matter Physics, Atomic and Molecular Physics, and Optics and Nuclear and High Energy Physics. According to data from OpenAlex, K. Terao has authored 26 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Condensed Matter Physics, 5 papers in Atomic and Molecular Physics, and Optics and 5 papers in Nuclear and High Energy Physics. Recurrent topics in K. Terao's work include GaN-based semiconductor devices and materials (5 papers), Particle physics theoretical and experimental studies (4 papers) and Neutrino Physics Research (4 papers). K. Terao is often cited by papers focused on GaN-based semiconductor devices and materials (5 papers), Particle physics theoretical and experimental studies (4 papers) and Neutrino Physics Research (4 papers). K. Terao collaborates with scholars based in United States, Japan and France. K. Terao's co-authors include A. Aurisano, Alexander Radovic, M. Kagan, D. Rousseau, A. Himmel, M. Williams, T. Wongjirad, James S. Speck, Steven P. DenBaars and L. Domine and has published in prestigious journals such as Nature, Applied Physics Letters and Japanese Journal of Applied Physics.

In The Last Decade

K. Terao

23 papers receiving 426 citations

Hit Papers

Machine learning at the energy and intensity frontiers of... 2018 2026 2020 2023 2018 50 100 150 200 250
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. Machine learning at the energy and intensity frontiers of particle physics
    2018 253 citations Alexander Radovic, M. Williams et al. Nature profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K. Terao United States 7 165 109 100 84 71 26 450
Yoshifumi Nakamura Japan 17 570 3.5× 92 0.8× 100 1.0× 14 0.2× 124 1.7× 93 913
Maxime Lebugle France 11 36 0.2× 23 0.2× 125 1.3× 94 1.1× 170 2.4× 27 513
Hai Wang China 11 31 0.2× 171 1.6× 119 1.2× 12 0.1× 153 2.2× 46 378
Biao Shen China 19 723 4.4× 69 0.6× 102 1.0× 38 0.5× 60 0.8× 97 900
Thomas Fischbacher United Kingdom 15 195 1.2× 151 1.4× 137 1.4× 28 0.3× 400 5.6× 36 765
T. Aoki Japan 12 116 0.7× 25 0.2× 163 1.6× 70 0.8× 206 2.9× 39 438
A. Widom United States 14 53 0.3× 170 1.6× 106 1.1× 69 0.8× 512 7.2× 48 702
Yanting Hu China 14 111 0.7× 13 0.1× 172 1.7× 13 0.2× 110 1.5× 41 926
T. M. Crawford United States 10 104 0.6× 74 0.7× 217 2.2× 26 0.3× 291 4.1× 47 619
Denis Donnelly United States 12 71 0.4× 49 0.4× 77 0.8× 16 0.2× 111 1.6× 60 445

Countries citing papers authored by K. Terao

Since Specialization
Citations

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

Fields of papers citing papers by K. Terao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Terao

This figure shows the co-authorship network connecting the top 25 collaborators of K. Terao. A scholar is included among the top collaborators of K. Terao 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 K. Terao. K. Terao 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.
Terao, K., et al.. (2025). Numerical analysis and experiments of levitation force and bearing stiffness of superconducting magnetic bearings. Physica C Superconductivity. 631. 1354680–1354680.
2.
Gasiorowski, S. J., Youssef S. G. Nashed, Pierre Granger, et al.. (2024). Differentiable simulation of a liquid argon time projection chamber. Machine Learning Science and Technology. 5(2). 25012–25012. 1 indexed citations
3.
Monsalve, S. Alonso, et al.. (2022). Adversarial methods to reduce simulation bias in neutrino interaction event filtering at liquid argon time projection chambers. Physical review. D. 105(11). 1 indexed citations
4.
Hasebe, Takashi, T. Ghigna, D. Hoang, et al.. (2022). Heat dissipation of rotation mechanism of polarization modulator unit for LiteBIRD low-frequency telescope. 232–232. 3 indexed citations
5.
Drielsma, F., Qing Lin, L. Domine, et al.. (2021). Clustering of electromagnetic showers and particle interactions with graph neural networks in liquid argon time projection chambers. Physical review. D. 104(7). 4 indexed citations
6.
Domine, L., F. Drielsma, R. Itay, et al.. (2021). Point proposal network for reconstructing 3D particle endpoints with subpixel precision in liquid argon time projection chambers. Physical review. D. 104(3). 4 indexed citations
7.
Domine, L. & K. Terao. (2020). Scalable deep convolutional neural networks for sparse, locally dense liquid argon time projection chamber data. Physical review. D. 102(1). 16 indexed citations
8.
Calafiura, P., et al.. (2020). Artificial Intelligence for High Energy Physics. WORLD SCIENTIFIC eBooks. 21 indexed citations
9.
Sakurai, Y., T. Matsumura, N. Katayama, et al.. (2019). Development of a contact-less cryogenic rotation mechanism employed for a polarization modulator unit in cosmic microwave background polarization experiments. Journal of Physics Conference Series. 1293(1). 12083–12083. 2 indexed citations
10.
Radovic, Alexander, M. Williams, D. Rousseau, et al.. (2018). Machine learning at the energy and intensity frontiers of particle physics. Nature. 560(7716). 41–48. 253 indexed citations breakdown →
11.
Domine, L. & K. Terao. (2018). Applying Deep Neural Network Techniques For Lartpc Data Reconstruction. Figshare. 236. 1 indexed citations
12.
Young, Nathan G., Yan-Ling Hu, K. Terao, et al.. (2013). High performance thin quantum barrier InGaN/GaN solar cells on sapphire and bulk (0001) GaN substrates. Applied Physics Letters. 103(17). 61 indexed citations
13.
Das, Naresh C., Meredith Reed, Anand V. Sampath, et al.. (2013). Optimization of Annealing Process for Improved InGaN Solar Cell Performance. Journal of Electronic Materials. 42(12). 3467–3470. 2 indexed citations
14.
Das, Naresh C., Meredith Reed, Anand V. Sampath, et al.. (2012). Heterogeneous integration of InGaN and Silicon solar cells for enhanced energy harvesting. 3076–3079. 1 indexed citations
15.
Lopez, J.P., K. Terao, J. M. Conrad, D. Dujmic, & L. A. Winslow. (2012). A prototype detector for directional measurement of the cosmogenic neutron flux. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 673. 22–31. 2 indexed citations
16.
Terao, K., Masaki Sekino, Hiroyuki Ohsaki, Hidekazu Teshima, & Mitsuru Morita. (2010). Magnetic Shielding Characteristics of Multiple Bulk Superconductors for Higher Field Applications. IEEE Transactions on Applied Superconductivity. 21(3). 1584–1587. 13 indexed citations
17.
Hansen, P., K. Terao, Yuan Wu, et al.. (2005). LiNbO 3 thin film growth on (0001)-GaN. Journal of Vacuum Science & Technology B Microelectronics and Nanometer Structures Processing Measurement and Phenomena. 23(1). 162–167. 30 indexed citations
18.
Hansen, P., Lvkang Shen, Yuan Wu, et al.. (2004). Al Ga N ∕ Ga N metal-oxide-semiconductor heterostructure field-effect transistors using barium strontium titanate. Journal of Vacuum Science & Technology B Microelectronics and Nanometer Structures Processing Measurement and Phenomena. 22(5). 2479–2485. 13 indexed citations
19.
Terao, K.. (1999). [Postinfectious encephalomyelitis].. PubMed. 282–5. 2 indexed citations
20.
Terao, K.. (1982). A FLOATING STRUCTURE WHICH MOVES TOWARD THE WAVES (POSSIBILITY OF WAVE DEVOURING PROPULSION. 184. 51–54. 5 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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