Toshisuke Maruyama

463 total citations
60 papers, 372 citations indexed

About

Toshisuke Maruyama is a scholar working on Water Science and Technology, Global and Planetary Change and Civil and Structural Engineering. According to data from OpenAlex, Toshisuke Maruyama has authored 60 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Water Science and Technology, 17 papers in Global and Planetary Change and 14 papers in Civil and Structural Engineering. Recurrent topics in Toshisuke Maruyama's work include Hydrology and Watershed Management Studies (16 papers), Soil and Unsaturated Flow (13 papers) and Plant Water Relations and Carbon Dynamics (12 papers). Toshisuke Maruyama is often cited by papers focused on Hydrology and Watershed Management Studies (16 papers), Soil and Unsaturated Flow (13 papers) and Plant Water Relations and Carbon Dynamics (12 papers). Toshisuke Maruyama collaborates with scholars based in Japan, China and Cambodia. Toshisuke Maruyama's co-authors include Hiroshi Takimoto, Yasushi Mori, Kimihito Nakamura, Kenji Tsuruta, F. Noto, Kyoichi Otsuki, Atsushi Ogura, Hikaru Komatsu, Yoshinori Shinohara and Masashi Yoshida and has published in prestigious journals such as Journal of Applied Physics, Journal of Hydrology and Soil Science Society of America Journal.

In The Last Decade

Toshisuke Maruyama

54 papers receiving 360 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Toshisuke Maruyama Japan 10 131 129 96 94 72 60 372
Peter Woods Australia 7 112 0.9× 75 0.6× 80 0.8× 125 1.3× 72 1.0× 19 404
Rienk R. van der Ploeg Germany 9 178 1.4× 174 1.3× 124 1.3× 94 1.0× 44 0.6× 23 447
W.J. Kogelmann United States 4 60 0.5× 100 0.8× 87 0.9× 119 1.3× 67 0.9× 5 325
Charles Maulé Canada 11 60 0.5× 140 1.1× 90 0.9× 126 1.3× 144 2.0× 23 373
Lizhu Hou China 10 149 1.1× 101 0.8× 68 0.7× 140 1.5× 44 0.6× 30 355
Enrico Balugani Italy 11 108 0.8× 80 0.6× 65 0.7× 117 1.2× 32 0.4× 24 335
Willemijn M. Appels Canada 11 130 1.0× 200 1.6× 105 1.1× 116 1.2× 90 1.3× 21 442
Qingqing Fang China 12 166 1.3× 166 1.3× 56 0.6× 124 1.3× 64 0.9× 24 398
Dyan Pratt Canada 13 262 2.0× 183 1.4× 83 0.9× 139 1.5× 148 2.1× 20 509
Marek Rodný Slovakia 8 115 0.9× 96 0.7× 66 0.7× 50 0.5× 18 0.3× 15 360

Countries citing papers authored by Toshisuke Maruyama

Since Specialization
Citations

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

Fields of papers citing papers by Toshisuke Maruyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toshisuke Maruyama

This figure shows the co-authorship network connecting the top 25 collaborators of Toshisuke Maruyama. A scholar is included among the top collaborators of Toshisuke Maruyama 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 Toshisuke Maruyama. Toshisuke Maruyama 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.
Maruyama, Toshisuke, et al.. (2016). Estimation of Unit Flood Discharge for Various Land Use Types with a Focus on Urbanization. 6(4). 195–211. 4 indexed citations
2.
3.
Takimoto, Hiroshi, et al.. (2014). Analysis of Snowpack Accumulation and Melting with a Heat Balance Approach:—Role of heat flux from underground in melting snow—. 82(4). 191–200. 3 indexed citations
4.
Maruyama, Toshisuke, et al.. (2013). Relationship between Nitrogen Atmospheric Deposition, Discharge and Concentration, and Monthly Change of Those in a River. Journal of Water Resource and Protection. 5(3). 283–293. 2 indexed citations
5.
Yoshida, Masashi, et al.. (2013). Proposal of new return flow analysis by replacement-in-order method for paddy irrigation water. Paddy and Water Environment. 12(4). 425–438. 3 indexed citations
6.
Maruyama, Toshisuke, et al.. (2013). Quantitative Analysis of the Rate of Geochemical Weathering of Sulfur from Sedimentary Rocks Using Atmospheric Deposition, Concentration and River Discharge Data. Journal of Water Resource and Protection. 5(5). 511–519. 1 indexed citations
7.
Yoshida, Masashi, et al.. (2012). Analysis of Return Flow of Irrigation Water at Test Paddy in the Tedori River Alluvial Fan Area. 80(6). 499–506. 1 indexed citations
8.
Maruyama, Toshisuke, et al.. (2012). Analysis of Water Balance at the Tedori River Alluvial Fan Areas in Japan. JOURNAL OF JAPAN SOCIETY OF HYDROLOGY AND WATER RESOURCES. 25(1). 20–29. 9 indexed citations
9.
Maruyama, Toshisuke, et al.. (2011). An Evaluation of Snow Storage Depth in the Tedori River Basin Using Tank Model. 78(4). 265–271. 4 indexed citations
10.
Maruyama, Toshisuke, et al.. (2011). Evaluation of water resources by snow storage using water balance and tank model method in the Tedori River basin of Japan. Paddy and Water Environment. 11(1-4). 113–121. 16 indexed citations
11.
Maruyama, Toshisuke, et al.. (2011). Assessment of the long-term variation in the nitrogen pollution load potential from farmland to groundwater in the Tedori River Basin, Japan. Paddy and Water Environment. 9(4). 441–449. 9 indexed citations
12.
Maruyama, Toshisuke, et al.. (2011). Assessment of long-term changes in nitrogen pollution load potential from sewage treatment water in the Tedori River Alluvial Fan Area, Japan. Paddy and Water Environment. 9(4). 451–459. 8 indexed citations
13.
14.
Maruyama, Toshisuke, et al.. (2010). Analysis of the nitrogen pollution load potential from farmland in the Tedori River Alluvial Fan Areas in Japan. Paddy and Water Environment. 8(3). 293–300. 9 indexed citations
15.
Maruyama, Toshisuke, et al.. (2002). As a base of the effect of agricultural land and forest on temperature environment, 2: Analysis of annual mean temperature difference between prefectural capital cities and their surrounding small town by AMeDAS [Automated Meteorological Data Aquitio#n System] data#. 1 indexed citations
16.
Watanabe, Tsugihiro, et al.. (1995). Planning Optimun Water Use from Conjugated Water Resources System in Paddy Field Area. JOURNAL OF JAPAN SOCIETY OF HYDROLOGY AND WATER RESOURCES. 8(1). 101–109. 1 indexed citations
17.
Maruyama, Toshisuke. (1989). Paddy Field Irrigation. 1989(16). 16–22. 2 indexed citations
18.
Maruyama, Toshisuke, et al.. (1983). Model for Soil Heat Conduction under a Three-Phase Condition and Calculation of Soil Heat Conductivity. 1983(103). 3 indexed citations
19.
Kobayashi, Shintaro & Toshisuke Maruyama. (1976). Search for the Coefficients of the Reservoir Model with the Powell's Conjugate Direction Method. 1976(65). 4 indexed citations
20.
Maruyama, Toshisuke & Masahiko Tomita. (1975). Drainage for Residual Water at Furrows. 1975(59). 2 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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