Shunichi Koshimura

8.4k total citations
352 papers, 5.8k citations indexed

About

Shunichi Koshimura is a scholar working on Geophysics, Civil and Structural Engineering and Atmospheric Science. According to data from OpenAlex, Shunichi Koshimura has authored 352 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 149 papers in Geophysics, 82 papers in Civil and Structural Engineering and 70 papers in Atmospheric Science. Recurrent topics in Shunichi Koshimura's work include earthquake and tectonic studies (140 papers), Earthquake and Tsunami Effects (69 papers) and Tropical and Extratropical Cyclones Research (45 papers). Shunichi Koshimura is often cited by papers focused on earthquake and tectonic studies (140 papers), Earthquake and Tsunami Effects (69 papers) and Tropical and Extratropical Cyclones Research (45 papers). Shunichi Koshimura collaborates with scholars based in Japan, United States and Peru. Shunichi Koshimura's co-authors include Fumihiko Imamura, Erick Mas, Anawat Suppasri, Bruno Adriano, Hideomi Gokon, Hideaki Yanagisawa, Yanbing Bai, Nobuo Shuto, Luis Moya and Takayuki OIE and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Remote Sensing of Environment.

In The Last Decade

Shunichi Koshimura

319 papers receiving 5.4k citations

Peers

Countries citing papers authored by Shunichi Koshimura

Since Specialization

Citations

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

Fields of papers citing papers by Shunichi Koshimura

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shunichi Koshimura

This figure shows the co-authorship network connecting the top 25 collaborators of Shunichi Koshimura. A scholar is included among the top collaborators of Shunichi Koshimura 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 Shunichi Koshimura. Shunichi Koshimura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Resilience-based estimation of the disaster waste disposal time considering interdependencies between waste disposal and road network systems under seismic and tsunami hazards in coastal communities 2025 ·Reliability Engineering & System Safety ·(unknown), Mitsuyoshi Akiyama, (unknown), Dan M. Frangopol, Shunichi Koshimura	2
2	Multiple hazards and population change in Japan’s Suzu City after the 2024 Noto Peninsula Earthquake 2024 ·Progress in Disaster Science ·(unknown), Erick Mas, (unknown), Tomoki Nakaya, Shunichi Koshimura	1
3	Post-event survey of the 2024 Noto Peninsula earthquake tsunami in Japan 2024 ·Coastal Engineering Journal ·Masatoshi YUHI, Shinya UMEDA, (unknown), (unknown), Hideomi Gokon, Taro ARIKAWA, (unknown), Fumihiko Imamura, (unknown), (unknown), Shuichi KURE, Takuya Miyashita, Anawat Suppasri, Hisamichi Nobuoka, Tomoya Shibayama, Shunichi Koshimura, Nobuhito Mori	26
4	Exploring the Feasibility of Ray Tracing SAR Simulation on Building Damage Assessment 2024 ·IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ·(unknown), Erick Mas, Bruno Adriano, Shunichi Koshimura	2
5	Dataset of Post-Event Survey of the 2024 Noto Peninsula Earthquake Tsunami in Japan 2024 ·Scientific Data ·Masatoshi YUHI, Shinya UMEDA, (unknown), (unknown), Hideomi Gokon, Taro ARIKAWA, Toshitaka Baba, Fumihiko Imamura, (unknown), Shuichi KURE, Takuya Miyashita, Anawat Suppasri, (unknown), Hisamichi Nobuoka, Tomoya Shibayama, Shunichi Koshimura, Nobuhito Mori	14
6	Probabilistic Connectivity Assessment of Road Networks Subjected to Ground Motion and Tsunamis Considering the Spatial Correlations among Hazard Intensities 2024 ·Journal of Bridge Engineering ·(unknown), Mitsuyoshi Akiyama, (unknown), Dan M. Frangopol, Shunichi Koshimura	4
7	A Study on Digital Model for Decision-Making in Crisis Response 2024 ·Journal of Disaster Research ·Naoko Kosaka, Shuji Moriguchi, (unknown), (unknown), (unknown), (unknown), Erick Mas, Makoto Okumura, Shunichi Koshimura, Kenjiro Terada, Akinori Fujino, Hiroshi Matsubara, (unknown)	0
8	A Reinforcement Learning Model of Multiple UAVs for Transporting Emergency Relief Supplies 2022 ·Applied Sciences ·(unknown), Erick Mas, Shunichi Koshimura	16
9	Real-time automatic uncertainty estimation of coseismic single rectangular fault model using GNSS data 2021 ·Earth Planets and Space ·(unknown), Yusaku Ohta, (unknown), (unknown), Ryota Hino, Shunichi Koshimura, Akihiro Musa, Hiroaki Kobayashi	14
10	Statistical analysis of earthquake debris extent from wood‐frame buildings and its use in road networks in Japan 2020 ·Earthquake Spectra ·Luis Moya, Erick Mas, Fumio Yamazaki, Ryan Wen Liu, Shunichi Koshimura	17
11	Tsunami hazard assessment for the central and southern pacific coast of Colombia 2020 ·Coastal Engineering Journal ·(unknown), Luís Otero, (unknown), (unknown), Erick Mas, Shunichi Koshimura, Bruno Adriano, (unknown), (unknown)	3
12	WITHDRAWAL – Administrative Duplicate Publication: Statistical Analysis of Japan Wood Frame Building Earthquake Debris Extent and Its Use in Road Networks in Japan 2019 ·Earthquake Spectra ·Luis Moya, Erick Mas, Fumio Yamazaki, Ryan Wen Liu, Shunichi Koshimura	1
13	Field Survey of the 28 September Earthquake Tsunami of Sulawesi, Indonesia 2019 ·EGU General Assembly Conference Abstracts ·Shunichi Koshimura, Abdul Muhari, Bruno Adriano, Luis Moya, (unknown), (unknown), Erick Mas	3
14	Tile-based Landslide Detection Using SAR Images: A Case Study of the 2018 Hokkaido Estern Iburi Earthquake 2019 ·(unknown), Hideomi Gokon, Kimiro Meguro, Shunichi Koshimura	1
15	Real-time tsunami inundation forecast system for tsunami disaster prevention and mitigation 2018 ·The Journal of Supercomputing ·Akihiro Musa, Osamu Watanabe, Hiroshi Matsuoka, (unknown), Takuya Inoue, (unknown), Yusaku Ohta, Ryota Hino, Shunichi Koshimura, Hiroaki Kobayashi	44
16	Building Damage Assessment in the 2015 Gorkha, Nepal, Earthquake Using Only Post‐Event Dual Polarization Synthetic Aperture Radar Imagery 2017 ·Earthquake Spectra ·Yanbing Bai, Bruno Adriano, Erick Mas, Shunichi Koshimura	28
17	Reliability of Bridges under Tsunami Hazards: Emphasis on the 2011 Tohoku‐Oki Earthquake 2013 ·Earthquake Spectra ·Mitsuyoshi Akiyama, Dan M. Frangopol, (unknown), Shunichi Koshimura	73
18	Extraction of Tsunami‐Flooded Areas and Damaged Buildings in the 2011 Tohoku‐Oki Earthquake from TerraSAR‐X Intensity Images 2013 ·Earthquake Spectra ·Wen Liu, Fumio Yamazaki, Hideomi Gokon, Shunichi Koshimura	58
19	Development of a new tsunami monitoring system using a GPS buoy 2008 ·AGU Fall Meeting Abstracts ·Teruyuki Kato, Yukihiro Terada, Toshihiko Nagai, (unknown), Takashi Tomita, Shunichi Koshimura	4
20	Estimating the Regional Impact of a Tsunami Using a Numerical Model and the World Population Database 2007 ·The Quaternary Research (Daiyonki-Kenkyu) ·Shunichi Koshimura	2

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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