Shigenori Otsuka

560 total citations
25 papers, 344 citations indexed

About

Shigenori Otsuka is a scholar working on Atmospheric Science, Global and Planetary Change and Astronomy and Astrophysics. According to data from OpenAlex, Shigenori Otsuka has authored 25 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Atmospheric Science, 18 papers in Global and Planetary Change and 2 papers in Astronomy and Astrophysics. Recurrent topics in Shigenori Otsuka's work include Meteorological Phenomena and Simulations (19 papers), Climate variability and models (16 papers) and Precipitation Measurement and Analysis (11 papers). Shigenori Otsuka is often cited by papers focused on Meteorological Phenomena and Simulations (19 papers), Climate variability and models (16 papers) and Precipitation Measurement and Analysis (11 papers). Shigenori Otsuka collaborates with scholars based in Japan, United States and Argentina. Shigenori Otsuka's co-authors include Takemasa Miyoshi, Shigeo Yoden, Shunji Kotsuki, Juan Ruiz, Shinsuke Satoh, Tomoo Ushio, Yasumitsu Maejima, Hirofumi Tomita, Seiya Nishizawa and Guo‐Yuan Lien and has published in prestigious journals such as Proceedings of the IEEE, Geophysical Research Letters and Monthly Weather Review.

In The Last Decade

Shigenori Otsuka

24 papers receiving 327 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shigenori Otsuka Japan 9 258 205 39 34 30 25 344
Robin Aspey United Kingdom 7 165 0.6× 76 0.4× 25 0.6× 9 0.3× 25 0.8× 15 287
Marilyn M. Wolfson United States 8 231 0.9× 185 0.9× 12 0.3× 68 2.0× 34 1.1× 18 340
Rosa Claudia Torcasio Italy 11 217 0.8× 160 0.8× 7 0.2× 50 1.5× 46 1.5× 33 291
Yoo‐Jeong Noh United States 13 342 1.3× 268 1.3× 9 0.2× 54 1.6× 15 0.5× 27 420
Shu‐Chih Yang United States 9 289 1.1× 274 1.3× 5 0.1× 48 1.4× 99 3.3× 23 353
Jordan Gerth United States 6 194 0.8× 184 0.9× 4 0.1× 38 1.1× 33 1.1× 12 277
Evan Manning United States 10 362 1.4× 339 1.7× 5 0.1× 48 1.4× 46 1.5× 48 448
Zhengkun Qin China 15 696 2.7× 548 2.7× 9 0.2× 89 2.6× 65 2.2× 59 746
Chin–Tzu Fong Taiwan 11 303 1.2× 242 1.2× 4 0.1× 48 1.4× 87 2.9× 15 372
Kotaro Bessho Japan 11 458 1.8× 369 1.8× 5 0.1× 49 1.4× 95 3.2× 18 530

Countries citing papers authored by Shigenori Otsuka

Since Specialization
Citations

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

Fields of papers citing papers by Shigenori Otsuka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shigenori Otsuka

This figure shows the co-authorship network connecting the top 25 collaborators of Shigenori Otsuka. A scholar is included among the top collaborators of Shigenori Otsuka 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 Shigenori Otsuka. Shigenori Otsuka 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.
Taylor, James D., et al.. (2023). Sensitivity to Localization Radii for an Ensemble Filter Numerical Weather Prediction System with 30-Second Update. Weather and Forecasting. 38(4). 611–632. 6 indexed citations
2.
Otsuka, Shigenori. (2022). Visualizing Lamb Waves From a Volcanic Eruption Using Meteorological Satellite Himawari‐8. Geophysical Research Letters. 49(8). 45 indexed citations
3.
Ruiz, Juan, Guo‐Yuan Lien, Keiichi Kondo, Shigenori Otsuka, & Takemasa Miyoshi. (2021). Reduced non-Gaussianity by 30 s rapid update in convective-scale numerical weather prediction. Nonlinear processes in geophysics. 28(4). 615–626. 8 indexed citations
4.
Miyoshi, Takemasa, Takumi Honda, Shigenori Otsuka, et al.. (2021). Big Data Assimilation: Real-time Demonstration Experiment of 30-second-update Forecasting in Tokyo in August 2020. 1 indexed citations
5.
Kotsuki, Shunji, et al.. (2021). Regional-scale data assimilation with the Spatially Explicit Individual-based Dynamic Global Vegetation Model (SEIB-DGVM) over Siberia. Progress in Earth and Planetary Science. 8(1). 3 indexed citations
6.
Otsuka, Shigenori, et al.. (2019). GSMaP RIKEN Nowcast: Global Precipitation Nowcasting with Data Assimilation. Journal of the Meteorological Society of Japan Ser II. 97(6). 1099–1117. 6 indexed citations
7.
Kotsuki, Shunji, et al.. (2019). Global Precipitation Forecasts by Merging Extrapolation-Based Nowcast and Numerical Weather Prediction with Locally Optimized Weights. Weather and Forecasting. 34(3). 701–714. 17 indexed citations
8.
Otsuka, Shigenori, et al.. (2017). Comparing Simulated Size Distributions of Precipitation Systems at Different Model Resolution. SOLA. 13(0). 130–134. 5 indexed citations
9.
Kobayashi, Kenichiro, et al.. (2016). Ensemble flood simulation for a small dam catchment in Japan using 10 and 2 km resolution nonhydrostatic model rainfalls. Natural hazards and earth system sciences. 16(8). 1821–1839. 8 indexed citations
10.
Otsuka, Shigenori, Shunji Kotsuki, & Takemasa Miyoshi. (2016). Nowcasting with Data Assimilation: A Case of Global Satellite Mapping of Precipitation. Weather and Forecasting. 31(5). 1409–1416. 13 indexed citations
11.
Miyoshi, Takemasa, Guo‐Yuan Lien, Shinsuke Satoh, et al.. (2016). “Big Data Assimilation” Toward Post-Petascale Severe Weather Prediction: An Overview and Progress. Proceedings of the IEEE. 104(11). 2155–2179. 53 indexed citations
12.
Otsuka, Shigenori, Ryota Kikuchi, Yusuke Taniguchi, et al.. (2015). Precipitation Nowcasting with Three-Dimensional Space–Time Extrapolation of Dense and Frequent Phased-Array Weather Radar Observations. Weather and Forecasting. 31(1). 329–340. 46 indexed citations
13.
Otsuka, Shigenori, et al.. (2014). A numerical experiment on the formation of the tropopause inversion layer associated with an explosive cyclogenesis: possible role of gravity waves. Progress in Earth and Planetary Science. 1(1). 2 indexed citations
14.
Kobayashi, Kenichiro, et al.. (2013). ENSEMBLE FORCASTING OF RAINFALL AND FLOOD IN A SMALL RIVER BASIN. Journal of Japan Society of Civil Engineers Ser B1 (Hydraulic Engineering). 69(4). I_1597–I_1602. 2 indexed citations
16.
Hadi, Tri Wahyu, et al.. (2006). An Experimental Numerical Weather Prediction in Indochina Region with a Meso-Scale Model. Kyoto University Research Information Repository (Kyoto University). 49(49). 459–465.
17.
Otsuka, Shigenori & Shigeo Yoden. (2005). Numerical Experiments on the Layered Structures in the Mid-Troposphere over the Equatorial Pacific. SOLA. 1(0). 69–72. 2 indexed citations
18.
Kaneko, Tetsuo, et al.. (2004). Characteristics of novel hydrogel dressing material. Drug Delivery System. 19(2). 117–126. 2 indexed citations
19.
Otsuka, Shigenori. (1992). Technology trends in materials for electrophotography. 12–12. 1 indexed citations
20.
Otsuka, Shigenori. (1992). <title>Technology trends in materials for electrophotography</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1670. 128–137. 8 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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