Nobuaki Kimura

704 total citations
32 papers, 538 citations indexed

About

Nobuaki Kimura is a scholar working on Oceanography, Global and Planetary Change and Water Science and Technology. According to data from OpenAlex, Nobuaki Kimura has authored 32 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Oceanography, 15 papers in Global and Planetary Change and 12 papers in Water Science and Technology. Recurrent topics in Nobuaki Kimura's work include Oceanographic and Atmospheric Processes (12 papers), Hydrology and Watershed Management Studies (11 papers) and Flood Risk Assessment and Management (11 papers). Nobuaki Kimura is often cited by papers focused on Oceanographic and Atmospheric Processes (12 papers), Hydrology and Watershed Management Studies (11 papers) and Flood Risk Assessment and Management (11 papers). Nobuaki Kimura collaborates with scholars based in Taiwan, Japan and United States. Nobuaki Kimura's co-authors include Chin H. Wu, Wen‐Cheng Liu, Timothy K. Kratz, Val Bennington, Galen A. McKinley, Paul C. Hanson, Wei‐Bo Chen, Ikuo Yoshinaga, Stephen R. Carpenter and Sean P. Cornelius and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Canadian Journal of Fisheries and Aquatic Sciences and Journal of Hydraulic Engineering.

In The Last Decade

Nobuaki Kimura

29 papers receiving 508 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nobuaki Kimura Taiwan 10 211 172 170 140 124 32 538
Philip Chu United States 15 314 1.5× 161 0.9× 275 1.6× 96 0.7× 111 0.9× 33 709
Pascal Kosuth France 14 141 0.7× 288 1.7× 313 1.8× 73 0.5× 312 2.5× 31 735
Daniel Jensen United States 11 130 0.6× 196 1.1× 196 1.2× 43 0.3× 181 1.5× 26 531
Thomas Heege Germany 18 595 2.8× 251 1.5× 241 1.4× 153 1.1× 326 2.6× 55 963
Yves Secretan Canada 16 157 0.7× 247 1.4× 184 1.1× 41 0.3× 280 2.3× 48 790
Joseph H.W. Lee Hong Kong 9 192 0.9× 107 0.6× 72 0.4× 93 0.7× 80 0.6× 21 406
Milad Niroumand-Jadidi Italy 13 275 1.3× 192 1.1× 142 0.8× 47 0.3× 230 1.9× 30 652
Qingjun Song China 16 695 3.3× 278 1.6× 279 1.6× 89 0.6× 192 1.5× 90 1.0k
Shigeru Tabeta Japan 12 203 1.0× 35 0.2× 122 0.7× 90 0.6× 103 0.8× 82 465

Countries citing papers authored by Nobuaki Kimura

Since Specialization
Citations

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

Fields of papers citing papers by Nobuaki Kimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nobuaki Kimura

This figure shows the co-authorship network connecting the top 25 collaborators of Nobuaki Kimura. A scholar is included among the top collaborators of Nobuaki Kimura 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 Nobuaki Kimura. Nobuaki Kimura 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
4.
Kimura, Nobuaki, et al.. (2021). Recurrent Neural Network Predictions for Water Levels at Drainage Pumping Stations in an Agricultural Lowland. Japan Agricultural Research Quarterly JARQ. 55(1). 45–58. 3 indexed citations
5.
Kimura, Nobuaki, et al.. (2020). MODEL FEATURE ASSESSMENT OF CONVOLUTIONAL NEURAL NETWORK (CNN)-BASED FLOOD PREDICTIONS. Journal of Japan Society of Civil Engineers Ser B1 (Hydraulic Engineering). 76(2). I_427–I_432.
6.
Kimura, Nobuaki, et al.. (2019). Flood Simulations in Mid-Latitude Agricultural Land Using Regional Current and Future Extreme Weathers. Water. 11(11). 2421–2421. 3 indexed citations
7.
Kimura, Nobuaki, et al.. (2019). Convolutional Neural Network Coupled with a Transfer-Learning Approach for Time-Series Flood Predictions. Water. 12(1). 96–96. 88 indexed citations
8.
Ishikawa, Takahiro, et al.. (2019). RUNOFF ANALYSIS INTO THE LOW-LYING LAKE BY USING MACHINE LEARNING. Journal of Japan Society of Civil Engineers Ser B1 (Hydraulic Engineering). 75(2). I_235–I_240. 1 indexed citations
9.
Kimura, Nobuaki, et al.. (2019). WATER LEVEL PREDICTION AT DRAINNAGE PUMP STATIONS IN LOW LANDS USING LSTM MODEL. Journal of Japan Society of Civil Engineers Ser B1 (Hydraulic Engineering). 75(2). I_139–I_144. 3 indexed citations
10.
Kimura, Nobuaki & Chin H. Wu. (2018). Using a nowcasting system to better understand lake water dynamics. Lakes & Reservoirs Science Policy and Management for Sustainable Use. 23(4). 367–380. 1 indexed citations
11.
Kimura, Nobuaki, et al.. (2018). The Impact of Multiple Typhoons on Severe Floods in the Mid-Latitude Region (Hokkaido). Water. 10(7). 843–843. 3 indexed citations
12.
Kimura, Nobuaki, et al.. (2016). Contribution of extreme meteorological forcing to vertical mixing in a small, shallow subtropical lake. Journal of Limnology. 5 indexed citations
14.
Kimura, Nobuaki, Wen‐Cheng Liu, Chih‐Yu Chiu, & Timothy K. Kratz. (2014). Assessing the effects of severe rainstorm-induced mixing on a subtropical, subalpine lake. Environmental Monitoring and Assessment. 186(5). 3091–3114. 12 indexed citations
15.
Kimura, Nobuaki, Wen‐Cheng Liu, Chih‐Yu Chiu, Timothy K. Kratz, & Wei‐Bo Chen. (2011). Real-time observation and prediction of physical processes in a typhoon-affected lake. Paddy and Water Environment. 10(1). 17–30. 9 indexed citations
16.
Kimura, Nobuaki, et al.. (2011). Flow measurement with multi‐instrumentation in a tidal‐affected river. Water and Environment Journal. 25(4). 563–572. 7 indexed citations
17.
Liu, Wen‐Cheng, Wei‐Bo Chen, & Nobuaki Kimura. (2009). Measurement of Sediment Oxygen Demand to Simulate Dissolved Oxygen Distribution: Case Study in the Main Danshuei River Estuary. Environmental Engineering Science. 26(12). 1701–1711. 6 indexed citations
18.
Chen, Wei‐Bo, Wen‐Cheng Liu, Nobuaki Kimura, & Ming‐Hsi Hsu. (2009). Particle release transport in Danshuei River estuarine system and adjacent coastal ocean: a modeling assessment. Environmental Monitoring and Assessment. 168(1-4). 407–428. 8 indexed citations
19.
Liu, Wen‐Cheng, Wei‐Bo Chen, & Nobuaki Kimura. (2008). Impact of phosphorus load reduction on water quality in a stratified reservoir-eutrophication modeling study. Environmental Monitoring and Assessment. 159(1-4). 393–406. 40 indexed citations
20.
Hanson, Paul C., Stephen R. Carpenter, Nobuaki Kimura, et al.. (2008). Evaluation of metabolism models for free‐water dissolved oxygen methods in lakes. Limnology and Oceanography Methods. 6(9). 454–465. 104 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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