Junshi Ito

686 citations
40 papers · 490 · h-index 12

Impact in

Papers in

    • Meteorological Phenomena and Simulations 24
    • Tropical and Extratropical Cyclones Research 8
    • Precipitation Measurement and Analysis 3
    • Climate variability and models 11
    • Atmospheric aerosols and clouds 10

Junshi Ito

35 papers receiving 466 citations

Peers

Junshi Ito
Comparison fields: 5 of 31
  • Atmospheric Science 354
  • Earth-Surface Processes 104
  • Global and Planetary Change 311
  • Environmental Engineering 155
  • Astronomy and Astrophysics 67
Replace Nir Benmoshe with:
Nir Benmoshe Israel
Andreas Giez Germany
Yannick Meillier United States
Wim C. de Rooy Netherlands
F. M. Guest Australia
Marcus van Lier‐Walqui United States
Michael M. French United States
James W. Telford United States
Rolf Hertenstein United States
M. Kitchen United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Junshi Ito

Since Specialization
Citations

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

Fields of papers citing papers by Junshi Ito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Junshi Ito, 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 Junshi Ito Line = papers co-authored together Junshi Ito links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020101
2 201575
3 201642
4 201736
5 201635
6 201023
7 201221
8 201718
9 201015
10 201714
11 202013
12 201511
13 20149
14 20148
15 20118
16 20208
17 20207
18 20136
19 20195
20 20145

About Junshi Ito

Junshi Ito is a scholar working on Atmospheric Science, Global and Planetary Change, Environmental Engineering, Earth-Surface Processes and Computational Mechanics, having authored 40 papers that have together received 490 indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (24 papers), Wind and Air Flow Studies (13 papers), Climate variability and models (11 papers), Atmospheric aerosols and clouds (10 papers), Aeolian processes and effects (10 papers), Fluid Dynamics and Turbulent Flows (9 papers), Tropical and Extratropical Cyclones Research (8 papers) and Precipitation Measurement and Analysis (3 papers). The work is most often cited by research in Atmospheric Science (354 citations), Earth-Surface Processes (104 citations), Global and Planetary Change (311 citations), Environmental Engineering (155 citations) and Astronomy and Astrophysics (67 citations). Junshi Ito has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Hiroshi Niino, Mikio Nakanishi, Rachel Honnert, Hyeyum Hailey Shin, Bowen Zhou, Adrian Lock, Georgios A. Efstathiou, Robert S. Plant, Lorenzo Tomassini and Roel Neggers. Their work appears in journals such as Journal of the Meteorological Society of Japan Ser II, Geophysical Research Letters, Journal of the Atmospheric Sciences, Boundary-Layer Meteorology and Physics of Fluids.

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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