Masaru Kunii

1.4k total citations
50 papers, 1.1k citations indexed

About

Masaru Kunii is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Masaru Kunii has authored 50 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Atmospheric Science, 40 papers in Global and Planetary Change and 12 papers in Oceanography. Recurrent topics in Masaru Kunii's work include Meteorological Phenomena and Simulations (42 papers), Climate variability and models (36 papers) and Tropical and Extratropical Cyclones Research (24 papers). Masaru Kunii is often cited by papers focused on Meteorological Phenomena and Simulations (42 papers), Climate variability and models (36 papers) and Tropical and Extratropical Cyclones Research (24 papers). Masaru Kunii collaborates with scholars based in Japan, United States and Argentina. Masaru Kunii's co-authors include Takemasa Miyoshi, Hiromu Seko, Kazuo Saito, Kozo Okamoto, Yohei Sawada, Yoshinori Shoji, Tsuyoshi Thomas Sekiyama, Mizuo Kajino, Hiroshi Yamauchi and Akiyoshi Wada and has published in prestigious journals such as Proceedings of the IEEE, Monthly Weather Review and Bulletin of the American Meteorological Society.

In The Last Decade

Masaru Kunii

49 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Masaru Kunii Japan 20 905 826 178 120 65 50 1.1k
Kohei Aranami Japan 7 751 0.8× 651 0.8× 136 0.8× 103 0.9× 38 0.6× 9 866
Al Bourgeois United States 6 1.1k 1.3× 957 1.2× 207 1.2× 147 1.2× 61 0.9× 8 1.2k
Jordan C. Alpert United States 13 865 1.0× 752 0.9× 144 0.8× 55 0.5× 26 0.4× 24 1.0k
S. R. H. Rizvi United States 10 648 0.7× 547 0.7× 89 0.5× 76 0.6× 35 0.5× 21 730
Yong-run Guo United States 10 1.1k 1.2× 878 1.1× 234 1.3× 155 1.3× 149 2.3× 18 1.2k
John S. Nasstrom United States 8 281 0.3× 363 0.4× 146 0.8× 109 0.9× 10 0.2× 27 519
Yongguang Zheng China 19 868 1.0× 721 0.9× 57 0.3× 166 1.4× 39 0.6× 54 1.0k
G. Pellerin France 11 879 1.0× 826 1.0× 148 0.8× 195 1.6× 13 0.2× 11 1.0k
Hui-Chuan Lin United States 6 875 1.0× 771 0.9× 64 0.4× 109 0.9× 33 0.5× 7 933
Randy Bullock United States 12 1.2k 1.3× 1.1k 1.4× 68 0.4× 120 1.0× 47 0.7× 17 1.3k

Countries citing papers authored by Masaru Kunii

Since Specialization
Citations

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

Fields of papers citing papers by Masaru Kunii

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masaru Kunii

This figure shows the co-authorship network connecting the top 25 collaborators of Masaru Kunii. A scholar is included among the top collaborators of Masaru Kunii 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 Masaru Kunii. Masaru Kunii 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.
Maejima, Yasumitsu, et al.. (2018). Impact of Dense and Frequent Surface Observations on 1-Minute-Update Severe Rainstorm Prediction: A Simulation Study. Journal of the Meteorological Society of Japan Ser II. 97(1). 253–273. 9 indexed citations
2.
Iwasaki, Toshiki, et al.. (2018). A Feasibility Study on the High-Resolution Regional Reanalysis over Japan Assimilating Only Conventional Observations as an Alternative to the Dynamical Downscaling. Journal of the Meteorological Society of Japan Ser II. 96(6). 565–585. 14 indexed citations
3.
Saito, Kazuo, et al.. (2018). Cloud Resolving Simulation of a Local Heavy Rainfall Event on 26 August 2011 Observed in TOMACS. Journal of the Meteorological Society of Japan Ser II. 96A(0). 175–199. 10 indexed citations
4.
Sekiyama, Tsuyoshi Thomas, Mizuo Kajino, & Masaru Kunii. (2017). The Impact of Surface Wind Data Assimilation on the Predictability of Near-Surface Plume Advection in the Case of the Fukushima Nuclear Accident. Journal of the Meteorological Society of Japan Ser II. 95(6). 447–454. 18 indexed citations
5.
Maejima, Yasumitsu, Masaru Kunii, & Takemasa Miyoshi. (2017). 30-second-Update 100-m-Mesh Data Assimilation Experiments: A Sudden Local Rain Case in Kobe on 11 September 2014. SOLA. 13(0). 174–180. 17 indexed citations
6.
7.
Sekiyama, Tsuyoshi Thomas, Masaru Kunii, Mizuo Kajino, & Toshiki Shimbori. (2015). Horizontal Resolution Dependence of Atmospheric Simulations of the Fukushima Nuclear Accident Using 15-km, 3-km, and 500-m Grid Models. Journal of the Meteorological Society of Japan Ser II. 93(1). 49–64. 37 indexed citations
8.
Kunii, Masaru, et al.. (2015). Assimilation Experiments of MTSAT Rapid Scan Atmospheric Motion Vectors on a Heavy Rainfall Event. Journal of the Meteorological Society of Japan Ser II. 93(4). 459–475. 21 indexed citations
9.
Kunii, Masaru. (2014). The 1000-Member Ensemble Kalman Filtering with the JMA Nonhydrostatic Mesoscale Model on the K Computer. Journal of the Meteorological Society of Japan Ser II. 92(6). 623–633. 21 indexed citations
10.
Kunii, Masaru, Hiromu Seko, Mitsuru Ueno, Yoshinori Shoji, & Toshitaka Tsuda. (2012). Impact of Assimilation of GPS Radio Occultation Refractivity on the Forecast of Typhoon Usagi in 2007. Journal of the Meteorological Society of Japan Ser II. 90(2). 255–273. 13 indexed citations
11.
Kawabata, Takuya, Masaru Kunii, Kotaro Bessho, et al.. (2012). Reanalysis and Reforecast of Typhoon Vera (1959) Using a Mesoscale Four-Dimensional Variational Assimilation System. Journal of the Meteorological Society of Japan Ser II. 90(4). 467–491. 4 indexed citations
12.
Shoji, Yoshinori, Masaru Kunii, & Kazuo Saito. (2011). Mesoscale Data Assimilation of Myanmar Cyclone Nargis Part II: Assimilation of GPS-Derived Precipitable Water Vapor. Journal of the Meteorological Society of Japan Ser II. 89(1). 67–88. 31 indexed citations
13.
Saito, Kazuo, et al.. (2010). Numerical Simulations of Myanmar Cyclone Nargis and the Associated Storm Surge Part I: Forecast Experiment with a Nonhydrostatic Model and Simulation of Storm Surge. Journal of the Meteorological Society of Japan Ser II. 88(3). 521–545. 12 indexed citations
14.
Saito, Kazuo, et al.. (2010). Numerical Simulation of Myanmar Cyclone Nargis and the Associated Storm Surge Part II: Ensemble Prediction. Journal of the Meteorological Society of Japan Ser II. 88(3). 547–570. 22 indexed citations
15.
Kunii, Masaru, Kazuo Saito, & Hiromu Seko. (2010). Mesoscale Data Assimilation Experiment in the WWRP B08RDP. SOLA. 6. 33–36. 4 indexed citations
16.
Kunii, Masaru, Yoshinori Shoji, Mitsuru Ueno, & Kazuo Saito. (2010). Mesoscale Data Assimilation of Myanmar Cyclone Nargis. Journal of the Meteorological Society of Japan Ser II. 88(3). 455–474. 10 indexed citations
17.
Seko, Hiromu, Masaru Kunii, Yoshinori Shoji, & Kazuo Saito. (2010). Improvement of Rainfall Forecast by Assimilations of Ground-Based GPS Data and Radio Occultation Data. SOLA. 6. 81–84. 3 indexed citations
18.
Seko, Hiromu, et al.. (2009). Mesoscale Ensemble Experiments on Potential Parameters for Tornado Outbreak. SOLA. 5. 57–60. 7 indexed citations
19.
Shoji, Yoshinori, Masaru Kunii, & Kazuo Saito. (2009). Assimilation of Nationwide and Global GPS PWV Data for a Heavy Rain Event on 28 July 2008 in Hokuriku and Kinki, Japan. SOLA. 5. 45–48. 33 indexed citations
20.
Seko, Hiromu, Syugo Hayashi, Masaru Kunii, & Kazuo Saito. (2008). Structure of the Regional Heavy Rainfall System that Occurred in Mumbai, India, on 26 July 2005. SOLA. 4. 129–132. 5 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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