Masayoshi Harada

498 total citations
70 papers, 396 citations indexed

About

Masayoshi Harada is a scholar working on Water Science and Technology, Environmental Chemistry and Global and Planetary Change. According to data from OpenAlex, Masayoshi Harada has authored 70 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Water Science and Technology, 16 papers in Environmental Chemistry and 16 papers in Global and Planetary Change. Recurrent topics in Masayoshi Harada's work include Hydrology and Watershed Management Studies (18 papers), Flood Risk Assessment and Management (14 papers) and Aquatic Ecosystems and Phytoplankton Dynamics (10 papers). Masayoshi Harada is often cited by papers focused on Hydrology and Watershed Management Studies (18 papers), Flood Risk Assessment and Management (14 papers) and Aquatic Ecosystems and Phytoplankton Dynamics (10 papers). Masayoshi Harada collaborates with scholars based in Japan, Vietnam and Cambodia. Masayoshi Harada's co-authors include Kazuaki Hiramatsu, Shinji Fukuda, Osama Eljamal, Phong K. Thai, Tsuyoshi Inoue, K. Hiramatsu, Masato Mori, M. Hirose, Isao Yoshida and Akinobu Matsumoto and has published in prestigious journals such as PLoS ONE, British Journal of Ophthalmology and Agricultural Water Management.

In The Last Decade

Masayoshi Harada

67 papers receiving 386 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Masayoshi Harada Japan 10 188 77 63 59 57 70 396
José Almir Cirilo Brazil 9 196 1.0× 117 1.5× 74 1.2× 40 0.7× 29 0.5× 46 339
Joseph Harrington Ireland 12 114 0.6× 89 1.2× 49 0.8× 24 0.4× 43 0.8× 37 448
Youcai Tuo China 14 201 1.1× 42 0.5× 87 1.4× 70 1.2× 71 1.2× 43 444
Desmond Ofosu Anim China 10 149 0.8× 65 0.8× 59 0.9× 16 0.3× 83 1.5× 14 367
Mehran Mahdian Iran 7 183 1.0× 104 1.4× 122 1.9× 32 0.5× 21 0.4× 11 363
Antti Taskinen Finland 12 177 0.9× 47 0.6× 67 1.1× 29 0.5× 112 2.0× 31 348
Junlong Zhang China 9 95 0.5× 35 0.5× 34 0.5× 46 0.8× 46 0.8× 22 352
Antonio Moreno-Rodenas Netherlands 11 172 0.9× 116 1.5× 115 1.8× 30 0.5× 25 0.4× 18 342
Zhifeng Jia China 15 130 0.7× 165 2.1× 147 2.3× 49 0.8× 51 0.9× 45 532
Hamid Raeisi Vanani Iran 11 135 0.7× 165 2.1× 108 1.7× 41 0.7× 31 0.5× 12 460

Countries citing papers authored by Masayoshi Harada

Since Specialization
Citations

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

Fields of papers citing papers by Masayoshi Harada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masayoshi Harada

This figure shows the co-authorship network connecting the top 25 collaborators of Masayoshi Harada. A scholar is included among the top collaborators of Masayoshi Harada 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 Masayoshi Harada. Masayoshi Harada 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.
Ataka, Mioko, et al.. (2022). Root exudation in a sloping Moso bamboo forest in relation to fine root biomass and traits. PLoS ONE. 17(3). e0266131–e0266131. 3 indexed citations
2.
3.
Hiramatsu, Kazuaki, et al.. (2018). Effects of Sea Level Rise and Sea Dike Construction on the Downstream End of the Saigon River Basin (Can Gio Bay). Japan Agricultural Research Quarterly JARQ. 52(3). 229–239. 4 indexed citations
4.
5.
Fukuda, Shinji, et al.. (2015). Sensitivity‐Based Calibration of the Soil and Water Assessment Tool for Hydrologic Cycle Simulation in the Cong Watershed, Vietnam. Water Environment Research. 87(8). 735–750. 4 indexed citations
6.
Hiramatsu, Kazuaki, et al.. (2015). Assessment of the Water Quality in the Ariake Sea Using Principal Component Analysis. Journal of Water Resource and Protection. 7(1). 41–49. 8 indexed citations
7.
Harada, Masayoshi, et al.. (2014). The Initial Result of Development of k–ε Model for Simulation of Hydrodynamics in Lakes Toward to Simulation of Their Water Quality. Journal of the Faculty of Agriculture Kyushu University. 59(1). 155–161. 1 indexed citations
8.
Hiramatsu, Kazuaki, et al.. (2013). Application of Distributed Nitrogen and Phosphorus Runoff Model to the Urbanizing Zuibaiji River Watershed. 81(1). 99–110. 2 indexed citations
9.
10.
Hiramatsu, Kazuaki, et al.. (2013). Optimizing Parameters for Two Conceptual Hydrological Models Using a Genetic Algorithm: A Case Study in the Dau Tieng River Watershed, Vietnam. Japan Agricultural Research Quarterly JARQ. 47(1). 85–96. 16 indexed citations
11.
Fukuda, Shinji, et al.. (2012). Assessing the Effects of Data Types and Categorization Methods on HSI-based Habitat Suitability Analysis for Japanese Medaka (Oryzias latipes). 79(2). 55–63. 2 indexed citations
12.
Harada, Masayoshi, et al.. (2010). Dynamic analysis of chlorophyll-a and nutrients in eutrophic reservoirs by using a water quality model based on species composition of algae.. 65(2). 73–89. 1 indexed citations
13.
Hiramatsu, Kazuaki, et al.. (2010). A GIS-based Distributed Parameter Model for Rainfall Runoff Calculation using Arc Hydro Tool and Curve Number Method for Chikugo River Basin in Japan. Journal of the Faculty of Agriculture Kyushu University. 55(2). 313–319. 6 indexed citations
14.
Harada, Masayoshi, et al.. (2008). Evaluation of Water Quality Environment in Eutrophic Reservoirs using an Ecosystem Model. 63(2). 147–160. 3 indexed citations
15.
Matsumoto, Akinobu, et al.. (2008). Evaluations of aquatic environment in eutrophic reservoirs based on the seasonal change in phytoplankton and zooplankton. 63(2). 161–177. 3 indexed citations
16.
Hiramatsu, Kazuaki, et al.. (2008). Nitrogen and phosphorus runoff modeling in a flat low-lying paddy cultivated area. Paddy and Water Environment. 6(4). 405–414. 6 indexed citations
17.
Harada, Masayoshi, et al.. (2006). Numerical Study of Water Motion in Lake Koyama using the Two-dimensional One-Layer Model Incorporated with ADI Method. 61(2). 281–288. 1 indexed citations
18.
Kamiya, Masao, et al.. (2006). A three-dimensional sigma-coordinate ocean model with a wetting and drying scheme and its application to Isahaya Bay. 61(2). 289–296. 1 indexed citations
19.
Hisatomi, Toshio, Koh‐Hei Sonoda, Fumihiko Ishikawa, et al.. (2006). Identification of resident and inflammatory bone marrow derived cells in the sclera by bone marrow and haematopoietic stem cell transplantation. British Journal of Ophthalmology. 91(4). 520–526. 15 indexed citations
20.
Hiramatsu, Kazuaki, et al.. (2006). Optimal Gate Operation of a Main Drainage Canal in a Flat Low-lying Agricultural Area using a Tank Model Incorporated with a Genetic Algorithm. Journal of the Faculty of Agriculture Kyushu University. 51(2). 351–359. 4 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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