Daisuke Terada

527 total citations
27 papers, 412 citations indexed

About

Daisuke Terada is a scholar working on Ocean Engineering, Computational Mechanics and Mechanical Engineering. According to data from OpenAlex, Daisuke Terada has authored 27 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Ocean Engineering, 11 papers in Computational Mechanics and 9 papers in Mechanical Engineering. Recurrent topics in Daisuke Terada's work include Ship Hydrodynamics and Maneuverability (21 papers), Fluid Dynamics Simulations and Interactions (10 papers) and Structural Integrity and Reliability Analysis (9 papers). Daisuke Terada is often cited by papers focused on Ship Hydrodynamics and Maneuverability (21 papers), Fluid Dynamics Simulations and Interactions (10 papers) and Structural Integrity and Reliability Analysis (9 papers). Daisuke Terada collaborates with scholars based in Japan, China and Singapore. Daisuke Terada's co-authors include Akihiko Matsuda, Hirotada Hashimoto, Chen Guo, Kenji Sasa, Hironori Yasukawa, Noritaka Hirata, Naoya Umeda, Wataru Sasaki, Chen Chen and Nobukazu Wakabayashi and has published in prestigious journals such as Ocean Engineering, Applied Ocean Research and Journal of Marine Science and Technology.

In The Last Decade

Daisuke Terada

22 papers receiving 394 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 Terada Japan 10 325 103 71 70 56 27 412
Alistair Greig United Kingdom 8 254 0.8× 58 0.6× 55 0.8× 124 1.8× 41 0.7× 12 417
David Clelland United Kingdom 10 368 1.1× 49 0.5× 179 2.5× 36 0.5× 22 0.4× 26 523
Key-Pyo Rhee South Korea 12 476 1.5× 90 0.9× 170 2.4× 171 2.4× 43 0.8× 42 531
M.A. Hinostroza Portugal 11 374 1.2× 48 0.5× 76 1.1× 65 0.9× 30 0.5× 31 498
Michio Ueno Japan 16 598 1.8× 317 3.1× 189 2.7× 94 1.3× 20 0.4× 69 691
Serge Sutulo Portugal 17 668 2.1× 119 1.2× 305 4.3× 133 1.9× 21 0.4× 48 779
Hirotada Hashimoto Japan 18 707 2.2× 117 1.1× 468 6.6× 218 3.1× 63 1.1× 69 879
Yasuo Yoshimura Japan 12 665 2.0× 253 2.5× 250 3.5× 100 1.4× 25 0.4× 48 752
Kwang-Jun Paik South Korea 15 471 1.4× 230 2.2× 423 6.0× 98 1.4× 17 0.3× 60 813

Countries citing papers authored by Daisuke Terada

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Terada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daisuke Terada

This figure shows the co-authorship network connecting the top 25 collaborators of Daisuke Terada. A scholar is included among the top collaborators of Daisuke Terada 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 Terada. Daisuke Terada 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
1.
Terada, Daisuke, et al.. (2021). Estimation of Characteristics of Waves Encountered with a Ship by Using a Set of Data Obtained from Draft Measurement System. The Journal of Japan Institute of Navigation. 145(0). 47–55. 2 indexed citations
2.
Terada, Daisuke, et al.. (2020). Investigation on Maneuverability of a POD Propulsion Ship by Free-Running Model Experiments. The Journal of Japan Institute of Navigation. 143(0). 48–56.
3.
Yasukawa, Hironori, et al.. (2019). Study of ship turning in irregular waves. Journal of Marine Science and Technology. 25(4). 1024–1043. 30 indexed citations
4.
Manderbacka, Teemu, Nikos Themelis, Evangelos Boulougouris, et al.. (2019). An overview of the current research on stability of ships and ocean vehicles: The STAB2018 perspective. Ocean Engineering. 186. 106090–106090. 34 indexed citations
5.
Umeda, Naoya, et al.. (2019). Water-on-deck effects on roll motions of an offshore supply vessel in regular stern quartering waves. Ocean Engineering. 188. 106225–106225. 4 indexed citations
6.
Umeda, Naoya, et al.. (2018). Effect of above-waterline hull shape on broaching-induced roll in irregular stern-quartering waves. Journal of Marine Science and Technology. 24(1). 166–173. 2 indexed citations
7.
Sasa, Kenji, et al.. (2017). Rough wave simulation and validation using onboard ship motion data in the Southern Hemisphere to enhance ship weather routing. Ocean Engineering. 144. 61–77. 37 indexed citations
8.
Watanabe, Takayuki, et al.. (2017). Development of Track Control System Utilizing Heading Control System for Ocean Observation Sailing. The 27th International Ocean and Polar Engineering Conference. 3 indexed citations
9.
Sasa, Kenji, et al.. (2017). Basic Study on the Development of Weather Routing Part I. Journal of the Japan Society of Naval Architects and Ocean Engineers. 25(0). 157–173.
10.
Umeda, Naoya, et al.. (2017). Estimation of broaching probability using wave-induced forces and moments measured in captive model tests. Journal of Marine Science and Technology. 24(1). 317–327. 6 indexed citations
11.
Terada, Daisuke, Hirotada Hashimoto, & Akihiko Matsuda. (2016). Estimation of Parameters in the Linear Stochastic Dynamical System Driven by Colored Noise Sequence. Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications. 2016(0). 125–131. 1 indexed citations
12.
Matsuda, Akihiko, et al.. (2016). An experimental system for measurement of dynamics of damaged ships. 571–574. 1 indexed citations
13.
Sasa, Kenji, Daisuke Terada, Shigeaki Shiotani, et al.. (2015). Evaluation of ship performance in international maritime transportation using an onboard measurement system - in case of a bulk carrier in international voyages. Ocean Engineering. 104. 294–309. 30 indexed citations
14.
Sasa, Kenji, Daisuke Terada, Shigeaki Shiotani, Nobukazu Wakabayashi, & Teruo Ohsawa. (2013). Current Situation and Difficulty of Wave Forecast From Viewpoint of Ship Management.
15.
Terada, Daisuke & Akihiko Matsuda. (2011). Study on a relationship between nonlinear dynamical system and stochastic model : Application to stability judgment system of ships. Medical Entomology and Zoology. 75–84. 1 indexed citations
16.
Terada, Daisuke & Genshiro Kitagawa. (2010). Study on a Stability Judgment System Based on Time Series Analysis. 549–556.
17.
TAKASAKI, Masaya, Daisuke Terada, Yasuhiro Kato, Yuji ISHINO, & Takeshi Mizuno. (2010). Non-contact ultrasonic support of minute objects. Physics Procedia. 3(1). 1059–1065. 12 indexed citations
18.
Terada, Daisuke, et al.. (2003). Study on real-time estimation of the ship motion cross spectra. Journal of Marine Science and Technology. 7(4). 157–163. 8 indexed citations
19.
Terada, Daisuke, et al.. (2002). Bayesian Estimation of Directional Wave Spectra For Ship Guidance System. International Journal of Offshore and Polar Engineering. 12(1). 28 indexed citations
20.
Terada, Daisuke, et al.. (2002). Study on Online Bayesian Estimation of Directional Wave Spectra. Journal of the Society of Naval Architects of Japan. 2002(192). 163–169.

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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