Takeshi Maesaka

496 citations
42 papers · 360 indexed · h-index 12
Topics
Meteorological Phenomena and Simulations (33 papers)Precipitation Measurement and Analysis (26 papers)Climate variability and models (12 papers)
Partner nations
JapanUnited StatesCanada

In The Last Decade

Takeshi Maesaka

39 papers receiving 329 citations

Peers

Takeshi Maesaka
Comparison fields: 5 of 31
  • Atmospheric Science 310
  • Global and Planetary Change 230
  • Environmental Engineering 69
  • Oceanography 33
  • Water Science and Technology 26
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Citations per field
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Citations per year

Countries citing papers authored by Takeshi Maesaka

Since Specialization
Citations

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

Fields of papers citing papers by Takeshi Maesaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takeshi Maesaka

This figure shows the co-authorship network connecting the top 25 collaborators of Takeshi Maesaka. A scholar is included among the top collaborators of Takeshi Maesaka 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 Takeshi Maesaka. Takeshi Maesaka 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
#WorkIndexed citations
1 0
2 3
3 8
4 3
5 3
6 4
7
Cloud Radar Network in Tokyo Metropolitan Area for Early Detection of Cumulonimbus Generation
2
8
Observations of Sakurajima Volcanic Ash Column with X-band Polarimetric Radar and Ka-band Doppler Radar
0
9 9
10 5
11 5
12 12
13 3
14
Operational Rainfall Estimation by X-band MP Radar Network in MLIT, Japan
28
15
D151 Microphysical Retrievals from Dual-Polarization Radar Measurements at X-Band :
1
16 6
17
Real-time wind field retrieval system by using X-band radar network around Tokyo metropolitan area
3
18 13
19 21
20 32

About Takeshi Maesaka

Takeshi Maesaka is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering, having authored 42 papers that have together received 360 indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (33 papers), Precipitation Measurement and Analysis (26 papers) and Climate variability and models (12 papers). The work is most often cited by research in Atmospheric Science (310 citations), Global and Planetary Change (230 citations) and Environmental Engineering (69 citations). Takeshi Maesaka has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Koyuru Iwanami, Ryohei Misumi, Shingo Shimizu, Masayuki Maki, Qoosaku Moteki, Masanori Yoshizaki, Hiroshi Uyeda, Teruyuki Kato, Taro Shinoda and Shinichi Suzuki. Their work appears in journals such as Geophysical Research Letters, Monthly Weather Review and Bulletin of the American Meteorological Society.

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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