Jun Awaka

3.2k citations
63 papers · 2.7k · 1 hit paper · h-index 19

Impact in

    • Precipitation Measurement and Analysis
    • Meteorological Phenomena and Simulations
    • Tropical and Extratropical Cyclones Research
    • Cryospheric studies and observations
    • Soil Moisture and Remote Sensing

Papers in

Jun Awaka

57 papers receiving 2.6k citations

Jun Awaka's Hit Papers

Rain-Profiling Algorithm for the TRMM Precipitation Radar 2000 · 872 citations
8720+8+17Years since publication250500750

Peers

Jun Awaka
Comparison fields: 5 of 44
  • Atmospheric Science 2.6k
  • Environmental Engineering 887
  • Global and Planetary Change 1.3k
  • Oceanography 178
  • Aerospace Engineering 218
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Citations per year

Countries citing papers authored by Jun Awaka

Since Specialization
Citations

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

Fields of papers citing papers by Jun Awaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Rain-Profiling Algorithm for the TRMM Precipitation Radar
Hit paper breakdown →
2000872
2 2009282
3 2009264
4 2002167
5
GPM/DPR Level-2 Algorithm Theoretical Basis Document
2010154
6 2009134
7 2000111
8 201698
9 202075
10 201447
11 200747
12 201343
13 198336
14 202129
15 199027
16 201225
17 198023
18 198721
19 198221
20
A three-dimensional rain cell model for the study of interference due to hydrometeor scattering
198918

About Jun Awaka

Jun Awaka is a scholar working on Atmospheric Science, Environmental Engineering, Aerospace Engineering, Electrical and Electronic Engineering and Oceanography, having authored 63 papers that have together received 2.7k indexed citations. Recurring topics across this work include Precipitation Measurement and Analysis (52 papers), Soil Moisture and Remote Sensing (30 papers), Meteorological Phenomena and Simulations (29 papers), Radio Wave Propagation Studies (20 papers), Geophysics and Gravity Measurements (6 papers), Millimeter-Wave Propagation and Modeling (5 papers), Ocean Waves and Remote Sensing (4 papers) and Ionosphere and magnetosphere dynamics (4 papers). The work is most often cited by research in Atmospheric Science (2.6k citations), Environmental Engineering (887 citations), Global and Planetary Change (1.3k citations), Oceanography (178 citations) and Aerospace Engineering (218 citations). Jun Awaka has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Toshio Iguchi, Ken‐ichi Okamoto, R. Meneghini, Toshiaki Kozu, Takuji Kubota, Kozo Okamoto, N. Yoshida, John Kwiatkowski, Nobuhiro Takahashi and Shinta Seto. Their work appears in journals such as Journal of the Meteorological Society of Japan Ser II, Radio Science, Electronics Letters, IEEE Transactions on Geoscience and Remote Sensing and Journal of Atmospheric and Oceanic Technology.

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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