Ryohei Misumi

730 total citations
43 papers, 524 citations indexed

About

Ryohei Misumi is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Ryohei Misumi has authored 43 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Atmospheric Science, 29 papers in Global and Planetary Change and 11 papers in Environmental Engineering. Recurrent topics in Ryohei Misumi's work include Meteorological Phenomena and Simulations (26 papers), Precipitation Measurement and Analysis (17 papers) and Atmospheric aerosols and clouds (11 papers). Ryohei Misumi is often cited by papers focused on Meteorological Phenomena and Simulations (26 papers), Precipitation Measurement and Analysis (17 papers) and Atmospheric aerosols and clouds (11 papers). Ryohei Misumi collaborates with scholars based in Japan, United States and South Korea. Ryohei Misumi's co-authors include Koyuru Iwanami, Takeshi Maesaka, Masayuki Maki, Yutaka Tobo, Jun Uetake, Akihiro Hashimoto, Shin‐ichiro Shima, Yousuke Sato, Thomas C. J. Hill and Sonia M. Kreidenweis and has published in prestigious journals such as Frontiers in Microbiology, Bulletin of the American Meteorological Society and Journal of Geophysical Research Atmospheres.

In The Last Decade

Ryohei Misumi

42 papers receiving 489 citations

Peers

Ryohei Misumi

GPC

WST

HTM

Yinjun Wang China

Naira Chaouch United States

Zhigang Wei China

Zhonghua He China

Vivek Kumar Singh India

David Ovens United States

Frances V. Davenport United States

G. Srinivasa Rao India

Jiaqi Zhang United States

Yinjun Wang China

Ryohei Misumi

438 ×1.3

435 ×1.4

GPC

118 ×1.2

55 ×0.7

WST

128 ×2.0

HTM

Citations per year, relative to Ryohei Misumi Ryohei Misumi (= 1×) peers Yinjun Wang

Countries citing papers authored by Ryohei Misumi

Since Specialization

Citations

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

Fields of papers citing papers by Ryohei Misumi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryohei Misumi

This figure shows the co-authorship network connecting the top 25 collaborators of Ryohei Misumi. A scholar is included among the top collaborators of Ryohei Misumi 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 Ryohei Misumi. Ryohei Misumi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Shima, Shin‐ichiro, Yousuke Sato, Akihiro Hashimoto, & Ryohei Misumi. (2020). Predicting the morphology of ice particles in deep convection using the super-droplet method: development and evaluation of SCALE-SDM 0.2.5-2.2.0, -2.2.1, and -2.2.2. Geoscientific model development. 13(9). 4107–4157. 33 indexed citations

Hashimoto, Akihiro, et al.. (2020). Process-Tracking Scheme Based on Bulk Microphysics to Diagnose the Features of Snow Particles. SOLA. 16(0). 51–56. 2 indexed citations

Shima, Shin‐ichiro, Yousuke Sato, Akihiro Hashimoto, & Ryohei Misumi. (2019). Predicting the morphology of ice particles in deep convection using the super-droplet method: development and evaluation of SCALE-SDM 0.2.5-2.2.0/2.2.1. 11 indexed citations

Misumi, Ryohei, Yutaka Tobo, Kazuhiko Miura, et al.. (2018). Characteristics of Droplet Size Distributions in Low-Level Stratiform Clouds Observed from Tokyo Skytree. Journal of the Meteorological Society of Japan Ser II. 96(4). 405–413. 8 indexed citations

Misumi, Ryohei, et al.. (2018). Hydrological Simulation of Small River Basins in Northern Kyushu, Japan, During the Extreme Rainfall Event of July 5–6, 2017. Journal of Disaster Research. 13(2). 396–409. 21 indexed citations

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

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

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

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

10.

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

11.

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

12.

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

13.

Misumi, Ryohei, et al.. (2010). Relationship between Orographic Enhancement of Rainfall Rate and Movement Speed of Radar Echoes: Case Study of Typhoon 0709. Journal of the Meteorological Society of Japan Ser II. 88(6). 931–936. 1 indexed citations

14.

Nakai, Sento, et al.. (2005). A Classification of Snow Clouds by Doppler Radar Observations at Nagaoka, Japan. SOLA. 1. 161–164. 24 indexed citations

15.

Misumi, Ryohei, et al.. (2005). Micro hopping robot with IR sensor for disaster survivor detection. 116–121. 15 indexed citations

16.

Maki, Masayuki, Koyuru Iwanami, Ryohei Misumi, et al.. (2005). Semi‐operational rainfall observations with X‐band multi‐parameter radar. Atmospheric Science Letters. 6(1). 12–18. 42 indexed citations

17.

Lee, Dong‐In, et al.. (2003). Rainfall Observation over Mountainous and Metropolitan Areas by X-band Multi-parameter Radar. 대기. 13(3). 402–403. 1 indexed citations

18.

Misumi, Ryohei. (1996). A Study of the Heavy Rainfall over the Ohsumi Peninsula (Japan) Caused by Typhoon 9307. Journal of the Meteorological Society of Japan Ser II. 74(1). 101–113. 13 indexed citations

19.

Misumi, Ryohei, et al.. (1994). A Numerical Study on the Formation of Organized Convective Storms. Journal of the Meteorological Society of Japan Ser II. 72(2). 235–253. 4 indexed citations

20.

Misumi, Ryohei. (1994). Variations of Large-Scale Characteristics Associated with the Increment of Baiu Precipitation around 1950. Journal of the Meteorological Society of Japan Ser II. 72(1). 107–121. 7 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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