Shingo Shimizu

583 total citations
51 papers, 397 citations indexed

About

Shingo Shimizu is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Shingo Shimizu has authored 51 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Atmospheric Science, 25 papers in Global and Planetary Change and 8 papers in Oceanography. Recurrent topics in Shingo Shimizu's work include Meteorological Phenomena and Simulations (33 papers), Precipitation Measurement and Analysis (20 papers) and Climate variability and models (19 papers). Shingo Shimizu is often cited by papers focused on Meteorological Phenomena and Simulations (33 papers), Precipitation Measurement and Analysis (20 papers) and Climate variability and models (19 papers). Shingo Shimizu collaborates with scholars based in Japan, South Korea and Austria. Shingo Shimizu's co-authors include Ryohei Kato, Hiroshi Uyeda, Koyuru Iwanami, Takeshi Maesaka, Masayuki Maki, Thomas Hobiger, Ryuichi Ichikawa, Shinichi Suzuki, Yasuhiro Koyama and Tetsuro Kondo and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Geoscience and Remote Sensing and Monthly Weather Review.

In The Last Decade

Shingo Shimizu

41 papers receiving 371 citations

Peers

Shingo Shimizu
J. Morland Switzerland
M. Nuret France
G. Golba United States
G. Jaubert France
Dan Wolfe United States
J. Morland Switzerland
Shingo Shimizu
Citations per year, relative to Shingo Shimizu Shingo Shimizu (= 1×) peers J. Morland

Countries citing papers authored by Shingo Shimizu

Since Specialization
Citations

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

Fields of papers citing papers by Shingo Shimizu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shingo Shimizu

This figure shows the co-authorship network connecting the top 25 collaborators of Shingo Shimizu. A scholar is included among the top collaborators of Shingo Shimizu 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 Shingo Shimizu. Shingo Shimizu 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
2.
Ikuta, Yasutaka, Hiromu Seko, Takuya Kawabata, et al.. (2025). Impact of direct assimilation of ground‐based microwave radiometer on numerical weather prediction: Accounting for interchannel observation error correlations. Quarterly Journal of the Royal Meteorological Society. 151(773).
3.
Kato, Ryohei, et al.. (2024). Improvement of Two-Hour-Ahead QPF Using Blending Technique with Spatial Maximum Filter for Tolerating Forecast Displacement Errors and Water Vapor Lidar Assimilation. Journal of the Meteorological Society of Japan Ser II. 102(4). 445–464. 3 indexed citations
4.
Kato, Ryohei, et al.. (2022). Verification of Forecasted Three-Hour Accumulated Precipitation Associated with “Senjo-Kousuitai” from Very-Short-Range Forecasting Operated by the JMA. Journal of the Meteorological Society of Japan Ser II. 100(6). 995–1005. 4 indexed citations
5.
Tsuboki, Kazuhisa, et al.. (2021). Structure and Evolution of Precipitation Cores in an Isolated Convective Storm Observed by Phased Array Weather Radar. Journal of the Meteorological Society of Japan Ser II. 99(3). 765–784. 6 indexed citations
6.
Sakurai, Namiko, Koyuru Iwanami, Shingo Shimizu, et al.. (2021). 3D Total Lightning Observation Network in Tokyo Metropolitan Area (Tokyo LMA). Journal of Disaster Research. 16(4). 778–785. 2 indexed citations
7.
Suzuki, Shinichi, et al.. (2017). X-band Dual-Polarization Radar Observations of the Supercell Storm that Generated an F3 Tornado on 6 May 2012 in Ibaraki Prefecture, Japan. Journal of the Meteorological Society of Japan Ser II. 96A(0). 25–33. 3 indexed citations
8.
Misumi, Ryohei, Namiko Sakurai, Takeshi Maesaka, et al.. (2017). Transition Process from Non-Precipitating Cumuli to Precipitating Convective Clouds over Mountains: Observation by Ka-band Doppler Radar and Stereo Photogrammetry. Journal of the Meteorological Society of Japan Ser II. 96A(0). 51–66. 3 indexed citations
9.
Shimizu, Shingo, et al.. (2016). Impact of Observation Operators on Low-Level Wind Speed Retrieved by Variational Multiple-Doppler Analysis. SOLA. 12(0). 215–219. 4 indexed citations
10.
Maki, Masayuki, Shingo Shimizu, Koyuru Iwanami, et al.. (2015). Relationship between Precipitation Core Behavior in Cumulonimbus Clouds and Surface Rainfall Intensity on 18 August 2011 in the Kanto Region, Japan. Journal of the Meteorological Society of Japan Ser II. 93(2). 215–228. 9 indexed citations
12.
Misumi, Ryohei, Shingo Shimizu, Takeshi Maesaka, et al.. (2013). Behavior and Structure of Convective Clouds Developing around a Mountainous Area Observed by Stereo Photogrammetry and Ka-Band and X-Band Radars: Case Study of Northern Kanto, Japan. Journal of the Meteorological Society of Japan Ser II. 91(5). 609–626. 5 indexed citations
13.
Sakurai, Namiko, Koyuru Iwanami, Takeshi Maesaka, et al.. (2012). Case Study of Misoscale Convective Echo Behavior Associated with Cumulonimbus Development Observed by Ka-band Doppler Radar in the Kanto Region, Japan. SOLA. 8(0). 107–110. 12 indexed citations
14.
Maki, Masayuki, et al.. (2012). X-Band Dual-Polarization Radar Observations of Precipitation Core Development and Structure in a Multi-Cellular Storm over Zoshigaya, Japan, on August 5, 2008. Journal of the Meteorological Society of Japan Ser II. 90(5). 701–719. 22 indexed citations
15.
Shimizu, Shingo & Hiroshi Uyeda. (2012). Algorithm for the Identification and Tracking of Convective Cells Based on Constant and Adaptive Threshold Methods Using a New Cell-Merging and -Splitting Scheme. Journal of the Meteorological Society of Japan Ser II. 90(6). 869–889. 14 indexed citations
16.
Misumi, Ryohei, et al.. (2012). Validation of Short-Term Forecasting of Meso-γ-Scale Convective Systems Based on a Cell-Tracking System. SOLA. 8(0). 141–144. 3 indexed citations
17.
Sakurai, Namiko, Shuichi Mori, Masayuki Kawashima, et al.. (2011). Migration Process and 3D Wind Field of Precipitation Systems Associated with a Diurnal Cycle in West Sumatera: Dual Doppler Radar Analysis during the HARIMAU2006 Campaign. Journal of the Meteorological Society of Japan Ser II. 89(4). 341–361. 10 indexed citations
18.
Maki, Masayuki, Dong‐In Lee, Shingo Shimizu, et al.. (2010). D151 Microphysical Retrievals from Dual-Polarization Radar Measurements at X-Band :. 98. 278. 1 indexed citations
19.
Suzuki, Shinichi, Takeshi Maesaka, Koyuru Iwanami, et al.. (2010). Multi-Parameter Radar Observation of a Downburst Storm in Tokyo on 12 July 2008. SOLA. 6. 53–56. 6 indexed citations
20.
Moteki, Qoosaku, et al.. (2006). Multiple Frontal Structures in the Baiu Frontal Zone Observed by Aircraft on 27 June 2004. SOLA. 2. 132–135. 6 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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