Naoki Mizukami

4.6k total citations · 1 hit paper
55 papers, 2.5k citations indexed

About

Naoki Mizukami is a scholar working on Water Science and Technology, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Naoki Mizukami has authored 55 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Water Science and Technology, 38 papers in Global and Planetary Change and 22 papers in Atmospheric Science. Recurrent topics in Naoki Mizukami's work include Hydrology and Watershed Management Studies (49 papers), Flood Risk Assessment and Management (24 papers) and Hydrology and Drought Analysis (19 papers). Naoki Mizukami is often cited by papers focused on Hydrology and Watershed Management Studies (49 papers), Flood Risk Assessment and Management (24 papers) and Hydrology and Drought Analysis (19 papers). Naoki Mizukami collaborates with scholars based in United States, Canada and Netherlands. Naoki Mizukami's co-authors include Martyn Clark, Andrew J. Newman, Nans Addor, Andrew W. Wood, E. D. Gutmann, Bart Nijssen, L. D. Brekke, J. R. Arnold, Oldřich Rakovec and Sanja Perica and has published in prestigious journals such as Water Resources Research, Journal of Hydrology and Hydrological Processes.

In The Last Decade

Naoki Mizukami

54 papers receiving 2.5k citations

Hit Papers

The CAMELS data set: catchment attributes and meteorology... 2017 2026 2020 2023 2017 100 200 300 400

Peers

Naoki Mizukami
Nans Addor United Kingdom
Fei Yuan China
Steven L. Markstrom United States
Seann Reed United States
Peng Bai China
Naoki Mizukami
Citations per year, relative to Naoki Mizukami Naoki Mizukami (= 1×) peers Yeshewatesfa Hundecha

Countries citing papers authored by Naoki Mizukami

Since Specialization
Citations

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

Fields of papers citing papers by Naoki Mizukami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoki Mizukami

This figure shows the co-authorship network connecting the top 25 collaborators of Naoki Mizukami. A scholar is included among the top collaborators of Naoki Mizukami 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 Naoki Mizukami. Naoki Mizukami 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.
Mendoza, Pablo A., et al.. (2025). Technical note: What does the Standardized Streamflow Index actually reflect? Insights and implications for hydrological drought analysis. Hydrology and earth system sciences. 29(8). 1981–2002. 5 indexed citations
2.
Wood, Andrew W., et al.. (2025). Calibrating a large-domain land/hydrology process model in the age of AI: the SUMMA CAMELS emulator experiments. Hydrology and earth system sciences. 29(18). 4515–4537. 1 indexed citations
3.
Akpoti, Komlavi, Naga Manohar Velpuri, Naoki Mizukami, et al.. (2024). Advancing water security in Africa with new high-resolution discharge data. Scientific Data. 11(1). 1195–1195. 2 indexed citations
4.
Mizukami, Naoki, et al.. (2023). To what extent does river routing matter in hydrological modeling?. Hydrology and earth system sciences. 27(19). 3505–3524. 9 indexed citations
5.
Li, Zhi, Shang Gao, Mengye Chen, et al.. (2022). CREST-VEC: a framework towards more accurate and realistic flood simulation across scales. Geoscientific model development. 15(15). 6181–6196. 8 indexed citations
6.
Vanderkelen, Inne, Shervan Gharari, Naoki Mizukami, et al.. (2022). Evaluating a reservoir parametrization in the vector-based global routing model mizuRoute (v2.0.1) for Earth system model coupling. Geoscientific model development. 15(10). 4163–4192. 18 indexed citations
7.
Mendoza, Pablo A., et al.. (2022). Revisiting parameter sensitivities in the variable infiltration capacity model across a hydroclimatic gradient. Hydrology and earth system sciences. 26(13). 3419–3445. 17 indexed citations
8.
Vanderkelen, Inne, Nicole Van Lipzig, William J. Sacks, et al.. (2021). The impact of global reservoir expansion on the present-day climate  . 2 indexed citations
9.
Clark, Martyn, Richard M. Vogel, Jonathan Lamontagne, et al.. (2021). The Abuse of Popular Performance Metrics in Hydrologic Modeling. Water Resources Research. 57(9). 149 indexed citations
10.
Vanderkelen, Inne, Nicole Van Lipzig, William J. Sacks, et al.. (2021). Simulating the Impact of Global Reservoir Expansion on the Present‐Day Climate. Journal of Geophysical Research Atmospheres. 126(16). 20 indexed citations
11.
Brunner, Manuela I., Lieke Melsen, Andrew W. Wood, et al.. (2021). Flood spatial coherence, triggers, and performance in hydrological simulations: large-sample evaluation of four streamflow-calibrated models. Hydrology and earth system sciences. 25(1). 105–119. 27 indexed citations
12.
Wood, Andrew W., Naoki Mizukami, Martyn Clark, et al.. (2020). A new SUMMA and MizuRoute hydrologic modeling resource for US water applications. AGU Fall Meeting Abstracts. 2020. 1 indexed citations
13.
Brunner, Manuela I., Lieke Melsen, Andrew W. Wood, et al.. (2020). Flood hazard and change impact assessments may profit from rethinking model calibration strategies. 6 indexed citations
14.
Hamman, Joseph, Nans Addor, Naoki Mizukami, Martyn Clark, & E. D. Gutmann. (2018). Characterizing uncertainty in climate impacts projections for water resource applications. EGU General Assembly Conference Abstracts. 10926. 1 indexed citations
15.
Mizukami, Naoki, Andrew J. Newman, Joseph Hamman, et al.. (2018). High-resolution statistically downscaled climate and hydrology projections over Alaska. AGU Fall Meeting Abstracts. 2018. 2 indexed citations
16.
Wobus, Cameron, E. D. Gutmann, Russell Jones, et al.. (2017). Modeled changes in 100 year Flood Risk and Asset Damages within Mapped Floodplains of the Contiguous United States. 7 indexed citations
17.
Mizukami, Naoki, Martyn Clark, K. M. Sampson, et al.. (2016). mizuRoute version 1: a river network routing tool for a continental domain water resources applications. Geoscientific model development. 9(6). 2223–2238. 64 indexed citations
18.
Melsen, Lieke, Adriaan J. Teuling, P.J.J.F. Torfs, et al.. (2016). Representation of spatial and temporal variability in large-domain hydrological models: case study for a mesoscale pre-Alpine basin. Hydrology and earth system sciences. 20(6). 2207–2226. 73 indexed citations
19.
Mizukami, Naoki, et al.. (2008). Methodology and Evaluation of Melt Factor Parameterization for Distributed SNOW- 17. AGUFM. 2008. 3 indexed citations
20.
Perica, Sanja, et al.. (2006). Distribution of Snow Water Equivalent Climatology for the Western United States From Snow Telemetry (SNOTEL) Data. AGUFM. 2006. 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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