Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Rain-Profiling Algorithm for the TRMM Precipitation Radar
2000837 citationsToshio Iguchi, Toshiaki Kozu et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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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).
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-authorship network of co-authors of Jun Awaka
This figure shows the co-authorship network connecting the top 25 collaborators of Jun Awaka.
A scholar is included among the top collaborators of Jun Awaka 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 Jun Awaka. Jun Awaka is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Iguchi, Toshio, Shinta Seto, Jun Awaka, et al.. (2016). Performance of the Dual-frequency Precipitation Radar on the GPM core satellite. EGUGA.1 indexed citations
Iguchi, Toshio, Shinta Seto, R. Meneghini, et al.. (2010). GPM/DPR Level-2 Algorithm Theoretical Basis Document.144 indexed citations
6.
Iguchi, Toshio, Toshiaki Kozu, John Kwiatkowski, et al.. (2009). Uncertainties in the Rain Profiling Algorithm for the TRMM Precipitation Radar(1. Precipitation Radar (PR), Precipitation Measurements from Space). Journal of the Meteorological Society of Japan Ser II. 87. 1–30.1 indexed citations
Awaka, Jun, et al.. (1991). Millimeter and optical wave propagation experiments under snow, fog, and rain conditions at Akita. 38(3). 645–659.1 indexed citations
11.
Awaka, Jun, et al.. (1991). Development of millimeter wave scatterometers. 38(3). 661–677.4 indexed citations
Awaka, Jun. (1989). A three-dimensional rain cell model for the study of interference due to hydrometeor scattering. 36(147). 13–44.18 indexed citations
14.
Awaka, Jun, Toshiaki Kozu, & Ken‐ichi Okamoto. (1988). A feasibility study of rain radar for the Tropical Rainfall Measuring Mission. II - Determination of basic system parameters. 35(145). 111–133.4 indexed citations
15.
Okamoto, Ken‐ichi, Jun Awaka, & Toshiaki Kozu. (1988). A feasibility study of rain radar for the tropical rainfall measuring mission. VI, A case study of rain radar system. 35(145). 183–208.11 indexed citations
16.
Awaka, Jun, et al.. (1987). Statistical results of millimeter wave propagation experiment on the basis of 5-year data. 43–46.3 indexed citations
17.
Kozu, Toshiaki, Kenji Nakamura, Jun Awaka, & Makoto Takeuchi. (1987). Development of Ku-band FM-CW/Pulse-Compression radar for rain observation on a slant-path. 34(143). 95–113.1 indexed citations
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.