Takemasa Miyoshi

8.3k total citations
185 papers, 5.5k citations indexed

About

Takemasa Miyoshi is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Takemasa Miyoshi has authored 185 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 169 papers in Atmospheric Science, 156 papers in Global and Planetary Change and 25 papers in Oceanography. Recurrent topics in Takemasa Miyoshi's work include Meteorological Phenomena and Simulations (164 papers), Climate variability and models (143 papers) and Precipitation Measurement and Analysis (45 papers). Takemasa Miyoshi is often cited by papers focused on Meteorological Phenomena and Simulations (164 papers), Climate variability and models (143 papers) and Precipitation Measurement and Analysis (45 papers). Takemasa Miyoshi collaborates with scholars based in Japan, United States and Argentina. Takemasa Miyoshi's co-authors include Eugenia Kalnay, Shozo Yamane, Masaru Kunii, Guo‐Yuan Lien, Koji Terasaki, Keiichi Kondo, Hong Li, Shunji Kotsuki, Kayo Ide and Juan Ruiz and has published in prestigious journals such as Nature Communications, Journal of Geophysical Research Atmospheres and Proceedings of the IEEE.

In The Last Decade

Takemasa Miyoshi

177 papers receiving 5.4k citations

Peers

Takemasa Miyoshi
Comparison fields: 5 of 104
  • Atmospheric Science 4.6k
  • Global and Planetary Change 4.3k
  • Oceanography 713
  • Environmental Engineering 687
  • Astronomy and Astrophysics 261
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Citations per field, relative to Takemasa Miyoshi
Takemasa Miyoshi · 1×
Citations per year, relative to Takemasa Miyoshi
Takemasa Miyoshi · 1×

Countries citing papers authored by Takemasa Miyoshi

Since Specialization
Citations

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

Fields of papers citing papers by Takemasa Miyoshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takemasa Miyoshi

This figure shows the co-authorship network connecting the top 25 collaborators of Takemasa Miyoshi. A scholar is included among the top collaborators of Takemasa Miyoshi 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 Takemasa Miyoshi. Takemasa Miyoshi 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
# Work Indexed citations
1 0
2 1
3 2
4 3
5 6
6 2
7 4
8 9
9 15
10 1
11 8
12
Big Data Assimilation: Past 5 Years and Perspectives for the Future
1
13 20
14 4
15 17
16
Multiple Satellite Data Assimilation in Carbon Cycle Analysis using a Local Ensemble Transform Kalman Filter (LETKF)
1
17
Data assimilation experiments with simulated LAI observations and the dynamic global vegetation model SEIB-DGVM
1
18 8
19
Martian Atmosphere Data Assimilation of TES and MCS Retrievals
4
20 220

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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