Masayuki Maki

2.2k citations
117 papers · 1.7k indexed · h-index 22

Masayuki Maki

109 papers receiving 1.6k citations

Peers

Masayuki Maki
Comparison fields: 5 of 73
  • Atmospheric Science 928
  • Environmental Engineering 472
  • Ecology, Evolution, Behavior and Systematics 412
  • Global and Planetary Change 369
  • Genetics 391
Replace Min Deng with:
Min Deng China
Paolo De Luca Italy
Franziska Schrodt United Kingdom
Daniel Berveiller France
D. E. Escobar United States
Deepak Singh Bisht India
Álvaro G. Gutiérrez Chile
Pavel V. Krestov Russia
Loren P. Albert United States
Katarzyna J. Chwedorzewska Poland
Masayuki Maki relative to Min Deng China Min Deng's profile →
Citations per field
00.5×10×15×18.2×
Min Deng · 1×
Citations per year

Countries citing papers authored by Masayuki Maki

Since Specialization
Citations

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

Fields of papers citing papers by Masayuki Maki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Masayuki Maki, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Masayuki Maki Line = papers co-authored together Masayuki Maki links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20231
2 20222
3 20195
4
Observations of Sakurajima Volcanic Ash Column with X-band Polarimetric Radar and Ka-band Doppler Radar
20150
5 20159
6 201212
7 201222
8
D151 Microphysical Retrievals from Dual-Polarization Radar Measurements at X-Band :
20101
9 201011
10
Flood Monitoring using X-band Dual-polarization Radar Network
20091
11 200945
12 200559
13
Rainfall measurement with X-band Multi-Parameter Radar
20040
14 20045
15
Rainfall Observation over Mountainous and Metropolitan Areas by X-band Multi-parameter Radar
20031
16 19998
17 199912
18 199835
19 19983
20 19935

About Masayuki Maki

Masayuki Maki is a scholar working on Atmospheric Science, Environmental Engineering and Ecology, Evolution, Behavior and Systematics, having authored 117 papers that have together received 1.7k indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (49 papers), Precipitation Measurement and Analysis (46 papers), Genetic diversity and population structure (43 papers), Soil Moisture and Remote Sensing (31 papers), Plant and animal studies (23 papers), Cryospheric studies and observations (14 papers), Plant and Fungal Species Descriptions (9 papers) and Plant Pathogens and Fungal Diseases (9 papers). The work is most often cited by research in Atmospheric Science (928 citations), Environmental Engineering (472 citations) and Ecology, Evolution, Behavior and Systematics (412 citations). Masayuki Maki has collaborated with scholars based in Japan, South Korea and United States. Frequent co-authors include V. N. Bringi, Koyuru Iwanami, V. Chandrasekar, Shigeo Horie, Kenji Nakamura, Thomas Keenan, Tadashi Yamashiro, Dong‐Soon Kim, Takeshi Maesaka and Ryohei Misumi. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Molecular Ecology.

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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