Hiroki Motoyoshi

814 total citations
32 papers, 589 citations indexed

About

Hiroki Motoyoshi is a scholar working on Atmospheric Science, Global and Planetary Change and Management, Monitoring, Policy and Law. According to data from OpenAlex, Hiroki Motoyoshi has authored 32 papers receiving a total of 589 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Atmospheric Science, 13 papers in Global and Planetary Change and 7 papers in Management, Monitoring, Policy and Law. Recurrent topics in Hiroki Motoyoshi's work include Cryospheric studies and observations (24 papers), Meteorological Phenomena and Simulations (12 papers) and Atmospheric aerosols and clouds (11 papers). Hiroki Motoyoshi is often cited by papers focused on Cryospheric studies and observations (24 papers), Meteorological Phenomena and Simulations (12 papers) and Atmospheric aerosols and clouds (11 papers). Hiroki Motoyoshi collaborates with scholars based in Japan, United States and Norway. Hiroki Motoyoshi's co-authors include Teruo Aoki, Teppei J. Yasunari, Konosuke Sugiura, Masahiro Hori, Yuji Kodama, Tomonori Tanikawa, Sento Nakai, Akihiro Hachikubo, Hans A. Eide and Rune Storvold and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Remote Sensing of Environment and CrystEngComm.

In The Last Decade

Hiroki Motoyoshi

27 papers receiving 578 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hiroki Motoyoshi Japan 14 485 251 114 57 54 32 589
Sento Nakai Japan 12 355 0.7× 190 0.8× 52 0.5× 23 0.4× 32 0.6× 38 484
Kirsten S Techmer Germany 10 164 0.3× 138 0.5× 67 0.6× 27 0.5× 69 1.3× 14 454
Hannah S. Halliday United States 13 327 0.7× 319 1.3× 160 1.4× 6 0.1× 7 0.1× 22 557
Shuang Chen China 10 912 1.9× 257 1.0× 388 3.4× 3 0.1× 8 0.1× 21 1.1k
K. R. Verhulst United States 16 553 1.1× 722 2.9× 127 1.1× 7 0.1× 7 0.1× 27 831
Shaina Sadai United States 5 291 0.6× 165 0.7× 10 0.1× 54 0.9× 3 0.1× 7 410
S. R. Zorn Germany 12 1.2k 2.4× 751 3.0× 156 1.4× 7 0.1× 12 0.2× 16 1.3k
Natalie J. Harvey United Kingdom 13 273 0.6× 214 0.9× 55 0.5× 18 0.3× 27 409

Countries citing papers authored by Hiroki Motoyoshi

Since Specialization
Citations

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

Fields of papers citing papers by Hiroki Motoyoshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroki Motoyoshi

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroki Motoyoshi. A scholar is included among the top collaborators of Hiroki Motoyoshi 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 Hiroki Motoyoshi. Hiroki Motoyoshi 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.
Yamaguchi, Satoru, Masaki Nemoto, Takahiro Tanabe, et al.. (2024). Overview: Results of Snow and Ice Disaster Mitigation Conducted by the National Research Institute for Earth Science and Disaster Resilience. Journal of Disaster Research. 19(5). 733–740.
2.
Motoyoshi, Hiroki, et al.. (2022). ESTIMATION METHOD OF ROOF SNOW LOAD USING ACCELERATION MEASUREMENT VALIDATION FOR AN OBSERVATIONAL BUILDING MODEL. Journal of Structural and Construction Engineering (Transactions of AIJ). 87(796). 524–533. 1 indexed citations
3.
Tominaga, Yoshihide & Hiroki Motoyoshi. (2021). METHOD TO ESTIMATE GROUND SNOW WEIGHT BASED ON METEOROLOGICAL OBSERVATION DATA AND HEAT BALANCE MODEL. Journal of Structural and Construction Engineering (Transactions of AIJ). 86(782). 544–552.
4.
Nakai, Sento, Katsuya Yamashita, Hiroki Motoyoshi, et al.. (2021). Relationships between Radar Reflectivity Factor and Liquid-Equivalent Snowfall Rate Derived by Direct Comparison of X-Band Radar and Disdrometer Observations in Niigata Prefecture, Japan. Journal of the Meteorological Society of Japan Ser II. 100(1). 45–56.
5.
Yamashita, Katsuya, Satoru Yamaguchi, Takayuki Saito, et al.. (2020). Quantitative Snowfall Distribution Acquisition System with High Spatiotemporal Resolution Using Existing Snowfall Sensors. SOLA. 16(0). 271–276. 1 indexed citations
6.
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
7.
Yamaguchi, Satoru, Hiroki Motoyoshi, Vincent Vionnet, et al.. (2019). Measurement of specific surface area of fresh solid precipitation particles in heavy snowfall regions of Japan. ˜The œcryosphere. 13(10). 2713–2732. 7 indexed citations
8.
Nakai, Sento, Satoru Yamaguchi, Katsuya Yamashita, et al.. (2019). Study on advanced snow information and its application to disaster mitigation: An overview. 37S(0). 3–19. 8 indexed citations
9.
10.
Motoyoshi, Hiroki, et al.. (2016). Relationships between snowfall density and solid hydrometeors, based on measured size and fall speed, for snowpack modeling applications. ˜The œcryosphere. 10(6). 2831–2845. 19 indexed citations
11.
12.
Misumi, Ryohei, et al.. (2014). Empirical Relationships for Estimating Liquid Water Fraction of Melting Snowflakes. Journal of Applied Meteorology and Climatology. 53(10). 2232–2245. 7 indexed citations
13.
Motoyoshi, Hiroki, et al.. (2013). A New Method for Identifying the Main Type of Solid Hydrometeors Contributing to Snowfall from Measured Size-Fall Speed Relationship. Journal of the Meteorological Society of Japan Ser II. 91(6). 747–762. 36 indexed citations
14.
Yasunari, Teppei J., Randal D. Koster, Kei May Lau, et al.. (2012). Correction to “Influence of dust and black carbon on the snow albedo in the NASA Goddard Earth Observing System version 5 land surface model”. Journal of Geophysical Research Atmospheres. 117(D18). 4 indexed citations
15.
16.
Tominaga, Yoshihide, Akashi Mochida, Tsubasa Okaze, et al.. (2011). Development of a system for predicting snow distribution in built-up environments: Combining a mesoscale meteorological model and a CFD model. Journal of Wind Engineering and Industrial Aerodynamics. 99(4). 460–468. 53 indexed citations
17.
Aoki, Teruo, Hiroki Motoyoshi, Yuji Kodama, Teppei J. Yasunari, & Konosuke Sugiura. (2007). Variations of the snow physical parameters and their effects on albedo in Sapporo, Japan. Annals of Glaciology. 46. 375–381. 19 indexed citations
18.
Aoki, Teruo, Masahiro Hori, Hiroki Motoyoshi, et al.. (2007). ADEOS-II/GLI snow/ice products — Part II: Validation results using GLI and MODIS data. Remote Sensing of Environment. 111(2-3). 274–290. 48 indexed citations
19.
Aoki, Teruo, Hiroki Motoyoshi, Yuji Kodama, et al.. (2006). Atmospheric Aerosol Deposition on Snow Surfaces and Its Effect on Albedo. SOLA. 2(0). 13–16. 58 indexed citations
20.
Motoyoshi, Hiroki, et al.. (2005). Possible Effect of Anthropogenic Aerosol Deposition on Snow Albedo Reduction at Shinjo, Japan. Journal of the Meteorological Society of Japan Ser II. 83A(0). 137–148. 17 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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