Jun Izutsu
Impact in
- Geophysics top 5%
- Earthquake Detection and Analysis
- Seismic Waves and Analysis
- earthquake and tectonic studies
- Artificial Intelligence top 10%
- Seismology and Earthquake Studies
Papers in
- Geophysics 33
- Earthquake Detection and Analysis 31
- Seismic Waves and Analysis 23
- earthquake and tectonic studies 13
- Geological and Geochemical Analysis 2
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- Seismology and Earthquake Studies 14
- Co-authors
- Masashi Hayakawa (19 shared papers)A. Schekotov (12 shared papers)Kenji Ohta (11 shared papers)A. P. Nickolaenko (8 shared papers)Y. Hobara (9 shared papers)Toshiyasu Nagao (8 shared papers)Maria Solovieva (5 shared papers)Kazuo Oike (3 shared papers)
In The Last Decade
Jun Izutsu
35 papers receiving 520 citations
Peers
Comparison fields: 5 of 40
- Geophysics 524
- Artificial Intelligence 188
- Ocean Engineering 82
- Astronomy and Astrophysics 64
- Management Science and Operations Research 31
Countries citing papers authored by Jun Izutsu
This map shows the geographic impact of Jun Izutsu'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 Izutsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Izutsu more than expected).
Fields of papers citing papers by Jun Izutsu
This network shows the impact of papers produced by Jun Izutsu. 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 Izutsu. The network helps show where Jun Izutsu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Izutsu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 113 | |
| 2 | 2013 | 47 | |
| 3 | 2021 | 35 | |
| 4 | 2012 | 34 | |
| 5 | 2016 | 26 | |
| 6 | 2013 | 24 | |
| 7 | 2019 | 23 | |
| 8 | 2008 | 22 | |
| 9 | 2019 | 22 | |
| 10 | 2022 | 22 | |
| 11 | 2010 | 22 | |
| 12 | 2023 | 21 | |
| 13 | 2022 | 18 | |
| 14 | 2016 | 16 | |
| 15 | 2011 | 15 | |
| 16 | 2015 | 12 | |
| 17 | 2021 | 11 | |
| 18 | 2023 | 10 | |
| 19 | 2017 | 9 | |
| 20 | 2007 | 7 |
About Jun Izutsu
Jun Izutsu is a scholar working on Geophysics, Artificial Intelligence, Ocean Engineering, Astronomy and Astrophysics and Atmospheric Science, having authored 36 papers that have together received 550 indexed citations. Recurring topics across this work include Earthquake Detection and Analysis (31 papers), Seismic Waves and Analysis (23 papers), Seismology and Earthquake Studies (14 papers), earthquake and tectonic studies (13 papers), Geophysics and Sensor Technology (6 papers), Lightning and Electromagnetic Phenomena (3 papers), Geological and Geochemical Analysis (2 papers) and Geophysical Methods and Applications (2 papers). The work is most often cited by research in Geophysics (524 citations), Artificial Intelligence (188 citations), Ocean Engineering (82 citations), Astronomy and Astrophysics (64 citations) and Management Science and Operations Research (31 citations). Jun Izutsu has collaborated with scholars based in Japan, Russia and Ukraine. Frequent co-authors include Masashi Hayakawa, A. Schekotov, Kenji Ohta, A. P. Nickolaenko, Y. Hobara, Toshiyasu Nagao, Maria Solovieva, Kazuo Oike, Takeo Yoshino and Yukio Fujinawa. Their work appears in journals such as Journal of Atmospheric and Solar-Terrestrial Physics, Proceedings of the Japan Academy Series B, Terrestrial Atmospheric and Oceanic Sciences, Tectonophysics and Atmosphere.
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.