Soichi Nishiyama

1.1k total citations
22 papers, 886 citations indexed

About

Soichi Nishiyama is a scholar working on Soil Science, Aquatic Science and Environmental Engineering. According to data from OpenAlex, Soichi Nishiyama has authored 22 papers receiving a total of 886 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Soil Science, 5 papers in Aquatic Science and 5 papers in Environmental Engineering. Recurrent topics in Soichi Nishiyama's work include Irrigation Practices and Water Management (13 papers), Hydrological Forecasting Using AI (5 papers) and Engineering and Agricultural Innovations (5 papers). Soichi Nishiyama is often cited by papers focused on Irrigation Practices and Water Management (13 papers), Hydrological Forecasting Using AI (5 papers) and Engineering and Agricultural Innovations (5 papers). Soichi Nishiyama collaborates with scholars based in Japan and China. Soichi Nishiyama's co-authors include Bao‐Zhong Yuan, Yaohu Kang, Akira Yano, Muhammad Aqil, Ichiro Kita, Yaohu Kang, Yaohu Kang, Yuanbo Liu, Tomohisa Yano and He-Sheng Chen and has published in prestigious journals such as Journal of Hydrology, Journal of Environmental Management and International Journal of Remote Sensing.

In The Last Decade

Soichi Nishiyama

19 papers receiving 798 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Soichi Nishiyama Japan 12 394 316 298 228 214 22 886
P. S. Kashyap India 9 465 1.2× 178 0.6× 334 1.1× 357 1.6× 187 0.9× 20 880
Md Rowshon Kamal Malaysia 18 192 0.5× 209 0.7× 303 1.0× 152 0.7× 258 1.2× 75 951
J.I. Córcoles Spain 20 397 1.0× 109 0.3× 110 0.4× 248 1.1× 253 1.2× 55 1.2k
Vijay Shankar India 15 276 0.7× 345 1.1× 310 1.0× 169 0.7× 126 0.6× 87 903
Hussein M. Al-Ghobari Saudi Arabia 15 341 0.9× 151 0.5× 273 0.9× 293 1.3× 175 0.8× 39 706
J. Adinarayana India 17 285 0.7× 413 1.3× 284 1.0× 313 1.4× 341 1.6× 59 1.1k
Shahrokh Zand‐Parsa Iran 20 316 0.8× 263 0.8× 612 2.1× 409 1.8× 220 1.0× 70 1.2k
Roberto De Mascellis Italy 16 287 0.7× 181 0.6× 165 0.6× 318 1.4× 83 0.4× 27 786
Ahmet Kurunç Türkiye 20 183 0.5× 226 0.7× 176 0.6× 444 1.9× 231 1.1× 46 947
Bilal Cemek Türkiye 20 150 0.4× 305 1.0× 158 0.5× 378 1.7× 116 0.5× 75 977

Countries citing papers authored by Soichi Nishiyama

Since Specialization
Citations

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

Fields of papers citing papers by Soichi Nishiyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Soichi Nishiyama

This figure shows the co-authorship network connecting the top 25 collaborators of Soichi Nishiyama. A scholar is included among the top collaborators of Soichi Nishiyama 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 Soichi Nishiyama. Soichi Nishiyama 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.
Aqil, Muhammad, Ichiro Kita, Akira Yano, & Soichi Nishiyama. (2008). Decision Support System For Flood Crisis Management Using Artificial Neural Network. Zenodo (CERN European Organization for Nuclear Research). 2(3). 983–989. 4 indexed citations
2.
Nishiyama, Soichi, et al.. (2007). Application of unsteady flow analysis in designing a multiple outlets sprinkler irrigation system. Paddy and Water Environment. 5(3). 181–187. 2 indexed citations
3.
Aqil, Muhammad, Ichiro Kita, Akira Yano, & Soichi Nishiyama. (2007). A comparative study of artificial neural networks and neuro-fuzzy in continuous modeling of the daily and hourly behaviour of runoff. Journal of Hydrology. 337(1-2). 22–34. 160 indexed citations
4.
Aqil, Muhammad, Ichiro Kita, Akira Yano, & Soichi Nishiyama. (2006). A Takagi-Sugeno Fuzzy System for the Prediction of River Stage Dynamic. Japan Agricultural Research Quarterly JARQ. 40(4). 369–378. 6 indexed citations
5.
Aqil, Muhammad, Ichiro Kita, Akira Yano, & Soichi Nishiyama. (2006). Analysis and prediction of flow from local source in a river basin using a Neuro-fuzzy modeling tool. Journal of Environmental Management. 85(1). 215–223. 110 indexed citations
6.
Nishiyama, Soichi, et al.. (2005). Development of Flow Meter for Controlling the Irrigation System. 2005(238). 413–417.
7.
Yuan, Bao‐Zhong, et al.. (2005). Response of cucumber to drip irrigation water under a rainshelter. Agricultural Water Management. 81(1-2). 145–158. 41 indexed citations
8.
Liu, Yuanbo, et al.. (2003). Examining Landscape Dynamics at a Watershed Scale Using Landsat TM Imagery for Detection of Wintering Hooded Crane Decline in Yashiro, Japan. Environmental Management. 31(3). 365–376. 25 indexed citations
9.
Yuan, Bao‐Zhong, Soichi Nishiyama, & Yaohu Kang. (2003). Effects of different irrigation regimes on the growth and yield of drip-irrigated potato. Agricultural Water Management. 63(3). 153–167. 240 indexed citations
10.
Liu, Yuanbo, et al.. (2002). Hydraulic Characteristics of Bend Flow Meter with Bypass Flow and Effects of Filter. Medical Entomology and Zoology. 70(6). 691–696.
11.
Yuan, Bao‐Zhong, Yaohu Kang, & Soichi Nishiyama. (2001). Drip irrigation scheduling for tomatoes in unheated greenhouses. Irrigation Science. 20(3). 149–154. 66 indexed citations
12.
Abedin, Md. Zainul, et al.. (2001). Design of Sprinkler Irrigation System for Uniform Flow Using Orifices in Risers. Medical Entomology and Zoology. 69(1). 67–73.
13.
Kang, Yaohu, Bao‐Zhong Yuan, & Soichi Nishiyama. (1999). Design of microirrigation laterals at minimum cost. Irrigation Science. 18(3). 125–133. 20 indexed citations
14.
Kang, Yaohu & Soichi Nishiyama. (1997). An improved method for designing microirrigation submain units. Irrigation Science. 17(4). 183–193. 3 indexed citations
15.
Kang, Yaohu & Soichi Nishiyama. (1996). Design of Microirrigation Submain Units using the Lateral Discharge Equation. 1996(182). 2 indexed citations
16.
Kang, Yaohu & Soichi Nishiyama. (1996). Analysis and Design of Microirrigation Laterals. Journal of Irrigation and Drainage Engineering. 122(2). 75–82. 67 indexed citations
17.
Kang, Yaohu, Soichi Nishiyama, & He-Sheng Chen. (1996). Design of microirrigation laterals on nonuniform slopes. Irrigation Science. 17(1). 3–14. 15 indexed citations
18.
Kang, Yaohu & Soichi Nishiyama. (1996). Design of Microirrigation Submain Units. Journal of Irrigation and Drainage Engineering. 122(2). 83–89. 18 indexed citations
19.
Kang, Yaohu, Soichi Nishiyama, & Hiroshi Kawano. (1995). A Simple Method of Designing Uniform-waterapplication Drip Irrigation System. 1995(176). 2 indexed citations
20.
Kang, Yaohu & Soichi Nishiyama. (1994). Finite element Method Analysis of Microirrigation System Pressure Distribution. 1994(169). 19–26. 5 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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