Ryota Nakamura

1.4k total citations
89 papers, 945 citations indexed

About

Ryota Nakamura is a scholar working on Atmospheric Science, Earth-Surface Processes and Oceanography. According to data from OpenAlex, Ryota Nakamura has authored 89 papers receiving a total of 945 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Atmospheric Science, 29 papers in Earth-Surface Processes and 20 papers in Oceanography. Recurrent topics in Ryota Nakamura's work include Tropical and Extratropical Cyclones Research (30 papers), Coastal and Marine Dynamics (28 papers) and Earthquake and Tsunami Effects (16 papers). Ryota Nakamura is often cited by papers focused on Tropical and Extratropical Cyclones Research (30 papers), Coastal and Marine Dynamics (28 papers) and Earthquake and Tsunami Effects (16 papers). Ryota Nakamura collaborates with scholars based in Japan, United States and Canada. Ryota Nakamura's co-authors include Tomoya Shibayama, Miguel Esteban, Takahito Mikami, Hiroshi Takagi, Ryo Matsumaru, Jacob Stolle, Yuta Nishida, Tomoyuki Takabatake, Nils Goseberg and Ioan Nistor and has published in prestigious journals such as SHILAP Revista de lepidopterología, Marine Ecology Progress Series and Molecular Phylogenetics and Evolution.

In The Last Decade

Ryota Nakamura

75 papers receiving 895 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryota Nakamura Japan 19 434 289 286 274 192 89 945
Shuichi KURE Japan 20 451 1.0× 97 0.3× 557 1.9× 63 0.2× 54 0.3× 94 1.1k
Maarten van Ormondt Netherlands 18 613 1.4× 720 2.5× 363 1.3× 327 1.2× 421 2.2× 47 1.2k
Patrick W. Limber United States 16 422 1.0× 758 2.6× 210 0.7× 183 0.7× 465 2.4× 29 1.1k
Jeanne M. Jones United States 10 154 0.4× 164 0.6× 173 0.6× 41 0.1× 62 0.3× 24 548
Sang-Hoon Hong South Korea 10 142 0.3× 112 0.4× 219 0.8× 117 0.4× 118 0.6× 14 793
Yun-Ta Wu Taiwan 12 178 0.4× 360 1.2× 105 0.4× 165 0.6× 110 0.6× 41 540
Amy C. Foxgrover United States 16 394 0.9× 577 2.0× 213 0.7× 148 0.5× 420 2.2× 32 948
Alejandro Tejedor United States 12 194 0.4× 231 0.8× 190 0.7× 33 0.1× 331 1.7× 35 747
Jorge O. Pierini Argentina 16 97 0.2× 169 0.6× 160 0.6× 135 0.5× 184 1.0× 45 620
Muhammad Rokhis Khomarudin Indonesia 12 131 0.3× 56 0.2× 275 1.0× 22 0.1× 108 0.6× 50 713

Countries citing papers authored by Ryota Nakamura

Since Specialization
Citations

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

Fields of papers citing papers by Ryota Nakamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryota Nakamura

This figure shows the co-authorship network connecting the top 25 collaborators of Ryota Nakamura. A scholar is included among the top collaborators of Ryota Nakamura 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 Ryota Nakamura. Ryota Nakamura 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.
Nakamura, Ryota, et al.. (2024). Laboratory study on effect of vegetation in reducing wave overtopping under wind effect. Ocean Engineering. 311. 118984–118984. 1 indexed citations
2.
Nishida, Yuta, Takahito Mikami, Ryota Nakamura, et al.. (2024). Field survey of the 2024 Noto Peninsula Earthquake and Tsunami in Japan: Characteristics of damage patterns to coastal communities. Ocean Engineering. 316. 119765–119765. 4 indexed citations
3.
Shibayama, Tomoya, et al.. (2024). Experimental investigation into the effects of strong winds on the transport of overtopping water mass over a vertical seawall. Coastal Engineering Journal. 66(2). 201–215. 2 indexed citations
4.
Nakamura, Ryota, et al.. (2023). SIMULATION OF TSUNAMI EVACUATION CONSIDERING DIFFERENCE EVACUATION TIMING BY USING ARTISOC. Japanese Journal of JSCE. 79(18). n/a–n/a.
5.
Nakamura, Ryota, et al.. (2021). Pseudo Global Warming Sensitivity Experiments of Subtropical Cyclone Anita (2010) Under RCP 8.5 Scenario. Journal of Geophysical Research Atmospheres. 126(24). 10 indexed citations
7.
Aránguiz, Rafael, Miguel Esteban, Hiroshi Takagi, et al.. (2020). The 2018 Sulawesi tsunami in Palu city as a result of several landslides and coseismic tsunamis. Coastal Engineering Journal. 62(4). 445–459. 35 indexed citations
8.
Stolle, Jacob, Ian N. Robertson, Hendra Achiari, et al.. (2020). Engineering Lessons from September 28, 2018 Indonesian Tsunami: Scouring Mechanisms and Effects on Infrastructure. Journal of Waterway Port Coastal and Ocean Engineering. 147(2). 22 indexed citations
9.
Shibayama, Tomoya, Yuta Nishida, Ryota Nakamura, et al.. (2020). Estimation of volcanic ashfall deposit and removal works based on ash dispersion simulations. Natural Hazards. 103(3). 3377–3399. 3 indexed citations
10.
Nakamura, Ryota, et al.. (2020). Simulations of future typhoons and storm surges around Tokyo Bay using IPCC AR5 RCP 8.5 scenario in multi global climate models. Coastal Engineering Journal. 62(1). 101–127. 14 indexed citations
11.
Nakamura, Ryota, et al.. (2018). EXPERIMENTAL STUDY ON IN-PLANE SHEAR BEHAVIOR OF AAC BLOCK MASONRY WALLS WITHOUT OPENINGS. Journal of Structural and Construction Engineering (Transactions of AIJ). 83(749). 1075–1085. 1 indexed citations
12.
Soltanpour, Mohsen, et al.. (2018). A study on mud particle velocities and mass transport in wave-current-mud interaction. Applied Ocean Research. 78. 267–280. 9 indexed citations
13.
Takabatake, Tomoyuki, Miguel Esteban, Ryota Nakamura, et al.. (2018). Field Survey of 2018 Typhoon Jebi in Japan: Lessons for Disaster Risk Management. Geosciences. 8(11). 412–412. 37 indexed citations
14.
Aonuma, Hitoshi, Ryota Nakamura, Takayuki Watanabe, et al.. (2017). Effects of 5-HT and insulin on learning and memory formation in food-deprived snails. Neurobiology of Learning and Memory. 148. 20–29. 21 indexed citations
15.
Sunada, Hiroshi, et al.. (2017). Two Strains of Lymnaea stagnalis and the Progeny from Their Mating Display Differential Memory-Forming Ability on Associative Learning Tasks. Frontiers in Behavioral Neuroscience. 11. 161–161. 16 indexed citations
16.
Harii, Saki, et al.. (2017). Shift of symbiont communities in Acropora tenuis juveniles under heat stress. PeerJ. 5. e4055–e4055. 33 indexed citations
17.
Suursaar, Ülo, et al.. (2017). Modelling a storm surge under future climate scenarios: case study of extratropical cyclone Gudrun (2005). Natural Hazards. 89(3). 1119–1144. 22 indexed citations
18.
Shibayama, Tomoya, et al.. (2016). COST BENEFIT ANALYSIS OF COASTAL DISASTERS IN TOKYO BAY. Journal of Japan Society of Civil Engineers Ser B3 (Ocean Engineering). 72(2). I_880–I_885. 2 indexed citations
19.
Esteban, Miguel, Paolo Valenzuela, Nam Yi Yun, et al.. (2015). Typhoon Haiyan 2013 Evacuation Preparations and Awareness. 3(1). 37–45. 38 indexed citations
20.
Nakasone, Hideo & Ryota Nakamura. (1984). Fluctuation of Water Quality and Runoff of Pollutant Load in Karasu-River at Rain. 1984(111). 1 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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