Daisuke Sugawara

4.3k total citations
95 papers, 2.9k citations indexed

About

Daisuke Sugawara is a scholar working on Geophysics, Atmospheric Science and Civil and Structural Engineering. According to data from OpenAlex, Daisuke Sugawara has authored 95 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Geophysics, 54 papers in Atmospheric Science and 26 papers in Civil and Structural Engineering. Recurrent topics in Daisuke Sugawara's work include earthquake and tectonic studies (82 papers), Geology and Paleoclimatology Research (44 papers) and Earthquake and Tsunami Effects (26 papers). Daisuke Sugawara is often cited by papers focused on earthquake and tectonic studies (82 papers), Geology and Paleoclimatology Research (44 papers) and Earthquake and Tsunami Effects (26 papers). Daisuke Sugawara collaborates with scholars based in Japan, United States and Australia. Daisuke Sugawara's co-authors include Kazuhisa Goto, Fumihiko Imamura, Bruce E. Jaffe, Catherine Chagué‐Goff, Tomoya Abe, Shigehiro Fujino, Witold Szczuciński, Yuichi Nishimura, Bruce M. Richmond and James Goff and has published in prestigious journals such as The Science of The Total Environment, Geophysical Research Letters and Geology.

In The Last Decade

Daisuke Sugawara

87 papers receiving 2.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daisuke Sugawara Japan 29 2.2k 1.8k 1.1k 555 470 95 2.9k
Robert C. Witter United States 27 1.8k 0.8× 1.4k 0.8× 666 0.6× 263 0.5× 201 0.4× 77 2.3k
Kazuhisa Goto Japan 35 2.9k 1.3× 2.7k 1.5× 1.7k 1.6× 665 1.2× 527 1.1× 160 4.3k
C. Goldfinger United States 32 2.4k 1.1× 1.3k 0.7× 860 0.8× 293 0.5× 146 0.3× 89 3.1k
David R. Tappin United Kingdom 28 2.4k 1.1× 1.2k 0.7× 1.3k 1.3× 513 0.9× 409 0.9× 74 3.3k
Catherine Chagué‐Goff Australia 34 2.7k 1.2× 2.9k 1.6× 1.1k 1.1× 660 1.2× 134 0.3× 104 3.9k
Kelvin Berryman New Zealand 43 4.0k 1.8× 1.9k 1.1× 887 0.8× 195 0.4× 336 0.7× 110 5.0k
Eulália Gràcia Spain 35 2.7k 1.2× 1.4k 0.8× 768 0.7× 485 0.9× 126 0.3× 126 4.0k
Joanne Bourgeois United States 25 1.4k 0.6× 1.7k 1.0× 1.3k 1.2× 303 0.5× 102 0.2× 68 2.7k
Yuichi Nishimura Japan 24 1.6k 0.7× 992 0.6× 480 0.5× 344 0.6× 128 0.3× 61 2.1k
Futoshi Nanayama Japan 17 1.1k 0.5× 1.1k 0.6× 607 0.6× 270 0.5× 63 0.1× 82 1.7k

Countries citing papers authored by Daisuke Sugawara

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Sugawara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daisuke Sugawara

This figure shows the co-authorship network connecting the top 25 collaborators of Daisuke Sugawara. A scholar is included among the top collaborators of Daisuke Sugawara 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 Daisuke Sugawara. Daisuke Sugawara 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
2.
Sugawara, Daisuke, et al.. (2024). Towards multi-variable tsunami damage modeling for coastal roads: Insights from the application of explainable machine learning to the 2011 Great East Japan Event. Sustainable Cities and Society. 115. 105856–105856. 1 indexed citations
3.
Ramírez‐Herrera, María Teresa, et al.. (2024). Tsunami deposits highlight high-magnitude earthquake potential in the Guerrero seismic gap Mexico. Communications Earth & Environment. 5(1). 4 indexed citations
4.
Sugawara, Daisuke, et al.. (2024). Modeling the 2024 Noto Peninsula earthquake tsunami: implications for tsunami sources in the eastern margin of the Japan Sea. Geoscience Letters. 11(1). 24 indexed citations
6.
Goto, Kazuhisa, et al.. (2022). Paleotsunami history of Hachinohe, northern Japan: a multiproxy analysis and numerical modeling approach. Progress in Earth and Planetary Science. 9(1). 1 indexed citations
7.
Goto, Kazuhisa, et al.. (2021). Three thousand year paleo-tsunami history of the southern part of the Japan Trench. Progress in Earth and Planetary Science. 8(1). 5 indexed citations
8.
Sugawara, Daisuke. (2019). On tsunami sediment transport modeling and uncertainties. The Quaternary Research (Daiyonki-Kenkyu). 58(2). 187–194. 4 indexed citations
9.
Sugawara, Daisuke, et al.. (2018). NUMERICAL SIMULATION FOR UNDERSTANDING OF THE OFFSHORE- DIRECTED SEDIMENT TRANSPORT BY 2011 TOHOKU-OKI TSUNAMI AT SOUTHERN PART OF THE SENDAI BAY. Journal of Japan Society of Civil Engineers Ser B2 (Coastal Engineering). 74(2). I_337–I_342. 2 indexed citations
10.
Yamashita, Kei, et al.. (2017). EFFECT OF TSUNAMI-INDUCED SEDIMENT TRANSPORT AND OFFSHORE TSUNAMI WAVEFORM ON ENLARGEMENT OF RETURN FLOW. Journal of Japan Society of Civil Engineers Ser B2 (Coastal Engineering). 73(2). I_361–I_366.
11.
Kawasaki, Koji, et al.. (2017). INFLUENCE OF COMPUTATIONAL PARAMETERS ON ACCURACY OF MOVABLE BED MODEL FOR TSUNAMIS. Journal of Japan Society of Civil Engineers Ser B2 (Coastal Engineering). 73(2). I_589–I_594. 4 indexed citations
12.
Goto, Kazuhisa, et al.. (2017). NEARSHORE EROSION AND OFFSHORE-DIRECTED SEDIMENT TRANSPORT BY TOHOKU-OKI TSUNAMI OFF SOUTHERN PART OF THE SENDAI PLAIN. Journal of Japan Society of Civil Engineers Ser B2 (Coastal Engineering). 73(2). I_823–I_828. 1 indexed citations
13.
Sugawara, Daisuke, Catherine Chagué‐Goff, Guy Gelfenbaum, et al.. (2016). Summary of Paleotsunami Investigations in Aliomanu, Anahola, Kauai. RWTH Publications (RWTH Aachen). 2016. 2 indexed citations
14.
Chagué‐Goff, Catherine, et al.. (2016). Geological Evidence for the Destruction of Shinmachi, Hawaii, by the 1946 Aleutian and 1960 Chile Tsunamis?. The Australian Nuclear Science and Technology Organisation Institutional Repository (The Australian Nuclear Science and Technology Organisation). 2016. 1 indexed citations
15.
Leelawat, Natt, et al.. (2015). A Study on Influential Factors on Building Damage in Kesennuma, Japan from the 2011 Great East Japan Tsunami. Engineering Journal. 19(3). 105–116. 5 indexed citations
16.
Sugawara, Daisuke, et al.. (2015). Role of sediment transport model to improve the tsunami numerical simulation. 2015 AGU Fall Meeting. 2015. 3 indexed citations
17.
Jaffe, Bruce E., et al.. (2015). Evaluating inverse models for reconstructing flow speed from sandy tsunami deposits. AGUFM. 2015. 1 indexed citations
18.
Imamura, Fumihiko, et al.. (2014). Development of a Tsunami Simulator Integrating the Smoothed-Particle Hydrodynamics Method and the Nonlinear Shallow Water Wave Model. Journal of Japan Society of Civil Engineers Ser B2 (Coastal Engineering). 70(2). I_16–I_20. 1 indexed citations
19.
Sugawara, Daisuke, et al.. (2011). The 869 Jogan and the 2011 Tohoku-oki earthquake tsunamis. AGU Fall Meeting Abstracts. 2011. 1 indexed citations
20.
Minoura, K., et al.. (2001). The 869 Jogan tsunami deposit and recurrence interval of large-scale tsunami on the Pacific coast of northeast Japan. Journal of Natural Disaster Science. 23(2). 83–88. 254 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.

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