Yoshihiko Iseri

477 total citations
34 papers, 320 citations indexed

About

Yoshihiko Iseri is a scholar working on Global and Planetary Change, Atmospheric Science and Water Science and Technology. According to data from OpenAlex, Yoshihiko Iseri has authored 34 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Global and Planetary Change, 20 papers in Atmospheric Science and 15 papers in Water Science and Technology. Recurrent topics in Yoshihiko Iseri's work include Climate variability and models (15 papers), Hydrology and Watershed Management Studies (14 papers) and Meteorological Phenomena and Simulations (13 papers). Yoshihiko Iseri is often cited by papers focused on Climate variability and models (15 papers), Hydrology and Watershed Management Studies (14 papers) and Meteorological Phenomena and Simulations (13 papers). Yoshihiko Iseri collaborates with scholars based in Japan, United States and Vietnam. Yoshihiko Iseri's co-authors include Shinjiro Kanae, Akira Kawamura, Hideo AMAGUCHI, M. L. Kavvas, Sayaka Yoshikawa, Shinichiro Fujimori, Lu Gao, John F. England, Michael D. Warner and Chris Frans and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and The Science of The Total Environment.

In The Last Decade

Yoshihiko Iseri

27 papers receiving 305 citations

Peers

Yoshihiko Iseri
Joonghyeok Heo United States
Yoshihiko Iseri
Citations per year, relative to Yoshihiko Iseri Yoshihiko Iseri (= 1×) peers Joonghyeok Heo

Countries citing papers authored by Yoshihiko Iseri

Since Specialization
Citations

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

Fields of papers citing papers by Yoshihiko Iseri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoshihiko Iseri

This figure shows the co-authorship network connecting the top 25 collaborators of Yoshihiko Iseri. A scholar is included among the top collaborators of Yoshihiko Iseri 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 Yoshihiko Iseri. Yoshihiko Iseri 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
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Iseri, Yoshihiko, et al.. (2024). MAXIMAZATION OF PRECIPITATION SEQUENCES DURING WINTERTIME IN THE COLUMBIA RIVER BASIN AND ITS ANALYSIS. Journal of JSCE. 12(2). n/a–n/a. 2 indexed citations
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Iseri, Yoshihiko, et al.. (2022). Comparison of Model-Based Precipitation Maximization Methods: Moisture Optimization Method, Storm Transposition Method, and Their Combination. Journal of Hydrologic Engineering. 28(1). 9 indexed citations
8.
Iseri, Yoshihiko, et al.. (2019). Model-Based Probable Maximum Precipitation Estimation: How to Estimate the Worst-Case Scenario Induced by Atmospheric Rivers?. Journal of Hydrometeorology. 20(12). 2383–2400. 22 indexed citations
9.
Iseri, Yoshihiko, Sayaka Yoshikawa, Masashi Kiguchi, et al.. (2018). Towards the incorporation of tipping elements in global climate risk management: probability and potential impacts of passing a threshold. Sustainability Science. 13(2). 315–328. 7 indexed citations
11.
Iseri, Yoshihiko, et al.. (2017). ANALYSIS OF THE RELATIONSHIP BETWEEN TYPHOON PATTERNS AND EXTREME RAINFALL IN JAPAN. Journal of Japan Society of Civil Engineers Ser B1 (Hydraulic Engineering). 73(4). I_241–I_246.
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Iseri, Yoshihiko, et al.. (2016). ANALYTICAL STUDY TOWARD REDUCING UNCERTAINITY OF PARAMETERS IN THE STORAGE-DISCHARGE FUNCTION. Journal of Japan Society of Civil Engineers Ser G (Environmental Research). 72(5). I_35–I_43. 2 indexed citations
13.
Iseri, Yoshihiko, et al.. (2015). Generalization of parameters in the storage–discharge relation for a low flow based on the hydrological analysis of sensitivity. SHILAP Revista de lepidopterología. 371. 69–73. 2 indexed citations
14.
Lim, Wee Ho, et al.. (2015). Generalized method to estimate value of urban assets for natural disaster risk assessment at the macro scale. Hydrological Research Letters. 9(4). 103–106. 1 indexed citations
15.
Iseri, Yoshihiko, et al.. (2014). Identification of low-flow parameters a using hydrological model in selected mountainous basins in Japan. SHILAP Revista de lepidopterología. 364. 51–56. 4 indexed citations
16.
Kawamura, Ryuichi, et al.. (2010). ENSO‐induced tropical convection variability over the Indian and western Pacific oceans during the northern winter as revealed by a self‐organizing map. Journal of Geophysical Research Atmospheres. 115(D19). 10 indexed citations
17.
Iseri, Yoshihiko, et al.. (2009). Use of the Self-Organizing Maps for the Investigation of Variability Characteristics of Monthly Precipitation Distribution across the Japan. JOURNAL OF JAPAN SOCIETY OF HYDROLOGY AND WATER RESOURCES. 22(6). 466–478.
18.
Jinno, Kenji, et al.. (2009). On the self-organizing maps and its applications. Journal of Groundwater Hydrology. 51(2). 151–162. 1 indexed citations
19.
Iseri, Yoshihiko, et al.. (2009). Comparison of pattern extraction capability between self-organizing maps and principal component analysis. Kyushu University Institutional Repository (QIR) (Kyushu University). 69(2). 37–47. 13 indexed citations
20.
Iseri, Yoshihiko, Graeme C. Dandy, Holger R. Maier, Atsuo Kawamura, & Kenji Jinno. (2005). Medium term forecasting of rainfall using artificial neural networks. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 1834–1840. 11 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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