Tomoo Ushio

6.2k total citations · 2 hit papers
207 papers, 4.4k citations indexed

About

Tomoo Ushio is a scholar working on Atmospheric Science, Astronomy and Astrophysics and Environmental Engineering. According to data from OpenAlex, Tomoo Ushio has authored 207 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Atmospheric Science, 91 papers in Astronomy and Astrophysics and 61 papers in Environmental Engineering. Recurrent topics in Tomoo Ushio's work include Precipitation Measurement and Analysis (94 papers), Lightning and Electromagnetic Phenomena (91 papers) and Meteorological Phenomena and Simulations (76 papers). Tomoo Ushio is often cited by papers focused on Precipitation Measurement and Analysis (94 papers), Lightning and Electromagnetic Phenomena (91 papers) and Meteorological Phenomena and Simulations (76 papers). Tomoo Ushio collaborates with scholars based in Japan, United States and Egypt. Tomoo Ushio's co-authors include Takuji Kubota, Satoru Yoshida, Takeshi Morimoto, Zen‐Ichiro Kawasaki, Misako Kachi, Nobuhiro Takahashi, Shoichi Shige, Ken‐ichi Okamoto, Zen Kawasaki and Kazumasa Aonashi and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Proceedings of the IEEE and Geophysical Research Letters.

In The Last Decade

Tomoo Ushio

188 papers receiving 4.3k citations

Hit Papers

Global Precipitation Map Using Satellite-Borne Microwave ... 2007 2026 2013 2019 2007 2009 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tomoo Ushio Japan 34 2.7k 2.3k 1.4k 784 494 207 4.4k
Steven J. Goodman United States 36 3.4k 1.2× 5.0k 2.1× 4.4k 3.2× 368 0.5× 452 0.9× 122 7.0k
W. David Rust United States 41 1.3k 0.5× 3.1k 1.3× 4.0k 2.9× 250 0.3× 699 1.4× 100 4.6k
Kenneth V. Beard United States 32 2.8k 1.0× 1.8k 0.8× 470 0.3× 932 1.2× 534 1.1× 69 4.1k
David M. Le Vine United States 32 2.7k 1.0× 438 0.2× 652 0.5× 3.4k 4.4× 558 1.1× 200 4.7k
Richard J. Blakeslee United States 39 2.5k 0.9× 4.4k 1.9× 4.3k 3.2× 216 0.3× 416 0.8× 130 6.0k
Takuji Kubota Japan 32 3.5k 1.3× 2.2k 0.9× 811 0.6× 906 1.2× 35 0.1× 208 4.9k
Donald R. MacGorman United States 46 2.8k 1.0× 4.6k 2.0× 4.4k 3.2× 425 0.5× 306 0.6× 103 5.7k
Dennis E. Buechler United States 24 1.9k 0.7× 3.1k 1.3× 2.8k 2.1× 150 0.2× 180 0.4× 59 4.0k
C.T. Swift United States 33 3.1k 1.1× 634 0.3× 357 0.3× 2.8k 3.5× 760 1.5× 132 5.3k
Andrea Mazzino Italy 35 1.1k 0.4× 838 0.4× 221 0.2× 580 0.7× 146 0.3× 149 3.8k

Countries citing papers authored by Tomoo Ushio

Since Specialization
Citations

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

Fields of papers citing papers by Tomoo Ushio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomoo Ushio

This figure shows the co-authorship network connecting the top 25 collaborators of Tomoo Ushio. A scholar is included among the top collaborators of Tomoo Ushio 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 Tomoo Ushio. Tomoo Ushio 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.
Wada, Yuuki, Takeshi Morimoto, Ting Wu, et al.. (2025). Downward terrestrial gamma-ray flash associated with collision of lightning leaders. Science Advances. 11(21). eads6906–eads6906.
2.
Wada, Yuuki, et al.. (2024). Electrical Alignment Signatures of Ice Particles Before Intracloud Lightning Activity Detected by Dual‐Polarized Phased Array Weather Radar. Journal of Geophysical Research Atmospheres. 129(7). 1 indexed citations
4.
Wada, Yuuki, et al.. (2024). Phase and Amplitude Correction for Adaptive Beamforming of Phased Array Weather Radar. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–11. 2 indexed citations
6.
Wada, Yuuki, et al.. (2024). Mitigation of Ground-Clutter Effects by Digital Beamforming With Precomputed Weighting Matrix for Phased Array Weather Radar. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–14. 7 indexed citations
7.
Yoshikawa, Eiichi, et al.. (2023). Convex Estimation of Sparse-Smooth Power Spectral Densities From Mixtures of Realizations With Application to Weather Radar. IEEE Access. 11. 128859–128874. 4 indexed citations
8.
Kikuchi, Hiroshi, Y. Hobara, & Tomoo Ushio. (2022). Compressive Sensing to Reduce the Number of Elements in a Linear Antenna Array With a Phased Array Weather Radar. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–10. 5 indexed citations
9.
Wada, Yuuki, Takeshi Morimoto, Yoshitaka Nakamura, et al.. (2022). Characteristics of Low‐Frequency Pulses Associated With Downward Terrestrial Gamma‐Ray Flashes. Geophysical Research Letters. 49(5). 14 indexed citations
10.
Hirabayashi, Akira, et al.. (2022). Nonlinear Beamforming Based on Group-Sparsities of Periodograms for Phased Array Weather Radar. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–19. 10 indexed citations
11.
Kikuchi, Hiroshi, Eiichi Yoshikawa, Tomoo Ushio, & Y. Hobara. (2021). Adaptive Beamforming Using Steering Vector Correction for Phased-Array Weather Radar. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14. 8419–8426. 5 indexed citations
12.
Wada, Yuuki, Teruaki Enoto, Mamoru Kubo, et al.. (2021). Meteorological Aspects of Gamma‐Ray Glows in Winter Thunderstorms. Geophysical Research Letters. 48(7). 24 indexed citations
13.
Yoshikawa, Eiichi, et al.. (2021). An Estimator for Weather Radar Doppler Power Spectrum via Minimum Mean Square Error. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–16. 11 indexed citations
14.
Yoshikawa, Eiichi, Tomoo Ushio, & Hiroshi Kikuchi. (2020). A Study of Comb Beam Transmission on Phased Array Weather Radars. IEEE Transactions on Geoscience and Remote Sensing. 59(8). 6346–6356. 11 indexed citations
15.
Mizutani, Fumihiko, Tomoo Ushio, Eiichi Yoshikawa, et al.. (2018). Fast-Scanning Phased-Array Weather Radar With Angular Imaging Technique. IEEE Transactions on Geoscience and Remote Sensing. 56(5). 2664–2673. 42 indexed citations
16.
Kikuchi, Hiroshi, Mitsuteru Sato, Tomoo Ushio, et al.. (2017). Simultaneous observations of optical lightning from space and LF band lightning waveforms from the ground. Geophysical Research Letters. 44(2). 1123–1131. 3 indexed citations
17.
Yoshida, Satoru, Toru Adachi, Kenichi Kusunoki, et al.. (2017). Relationship between thunderstorm electrification and storm kinetics revealed by phased array weather radar. Journal of Geophysical Research Atmospheres. 122(7). 3821–3836. 20 indexed citations
18.
Kikuchi, Hiroshi, Eiichi Yoshikawa, Tomoo Ushio, Fumihiko Mizutani, & Masaru Wada. (2017). Adaptive Pulse Compression Technique for X-Band Phased Array Weather Radar. IEEE Geoscience and Remote Sensing Letters. 14(10). 1810–1814. 8 indexed citations
19.
Kikuchi, Hiroshi, Ting Wu, Eiichi Yoshikawa, et al.. (2017). Performance of Minimum Mean-Square Error Beam Forming for Polarimetric Phased Array Weather Radar. IEEE Transactions on Geoscience and Remote Sensing. 55(5). 2757–2770. 11 indexed citations
20.
Kikuchi, Hiroshi, Eiichi Yoshikawa, Tomoo Ushio, Fumihiko Mizutani, & Masakazu Wada. (2017). Application of Adaptive Digital Beamforming to Osaka University Phased Array Weather Radar. IEEE Transactions on Geoscience and Remote Sensing. 55(7). 3875–3884. 16 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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