Akiyoshi Wada

1.6k citations
57 papers · 1.2k indexed · h-index 20
Topics
Tropical and Extratropical Cyclones Research (47 papers)Climate variability and models (39 papers)Ocean Waves and Remote Sensing (27 papers)

In The Last Decade

Akiyoshi Wada

55 papers receiving 1.2k citations

Peers

Akiyoshi Wada
Comparison fields: 5 of 66
  • Atmospheric Science 1.1k
  • Oceanography 860
  • Global and Planetary Change 845
  • Ecology 33
  • Molecular Biology 23
Replace Youichi Tanimoto with:
Youichi Tanimoto Japan
Xiaoming Zhai United Kingdom
Alice K. DuVivier United States
Qihua Peng United States
Thomas Keffer United States
Laura Ursella Italy
Matthew Mizielinski United Kingdom
Lionel Guez France
Édouard Leymarie France
Xiaohui Xie China
Akiyoshi Wada relative to Youichi Tanimoto Japan Youichi Tanimoto's profile →
Citations per field
00.5×1.5×
Youichi Tanimoto · 1×
Citations per year

Countries citing papers authored by Akiyoshi Wada

Since Specialization
Citations

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

Fields of papers citing papers by Akiyoshi Wada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akiyoshi Wada

This figure shows the co-authorship network connecting the top 25 collaborators of Akiyoshi Wada. A scholar is included among the top collaborators of Akiyoshi Wada 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 Akiyoshi Wada. Akiyoshi Wada 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 2
2 4
3 5
4 9
5 0
6 9
7 7
8 6
9 3
10 3
11 2
12 4
13 7
14 28
15 7
16 21
17
Tropospheric Monitoring Over the Ocean using Shipborne GNSS Receiver
2
18 26
19 26
20 0

About Akiyoshi Wada

Akiyoshi Wada is a scholar working on Atmospheric Science, Oceanography and Global and Planetary Change, having authored 57 papers that have together received 1.2k indexed citations. Recurring topics across this work include Tropical and Extratropical Cyclones Research (47 papers), Climate variability and models (39 papers) and Ocean Waves and Remote Sensing (27 papers). The work is most often cited by research in Oceanography (860 citations), Atmospheric Science (1.1k citations) and Global and Planetary Change (845 citations). Akiyoshi Wada has collaborated with scholars based in Japan, Hong Kong and United States. Frequent co-authors include Yoshimi Kawai, Norihisa Usui, Sachie Kanada, Johnny C. L. Chan, Shiro Ishizaki, Kosuke Ito, Masato Sugi, Masaru Kunii, Ryo Oyama and Kanako Sato. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Journal of Molecular Biology and Macromolecules.

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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