Masaru Mizoguchi

2.4k total citations
86 papers, 1.7k citations indexed

About

Masaru Mizoguchi is a scholar working on Plant Science, Soil Science and Atmospheric Science. According to data from OpenAlex, Masaru Mizoguchi has authored 86 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Plant Science, 15 papers in Soil Science and 12 papers in Atmospheric Science. Recurrent topics in Masaru Mizoguchi's work include Rice Cultivation and Yield Improvement (19 papers), Irrigation Practices and Water Management (13 papers) and Plant responses to water stress (10 papers). Masaru Mizoguchi is often cited by papers focused on Rice Cultivation and Yield Improvement (19 papers), Irrigation Practices and Water Management (13 papers) and Plant responses to water stress (10 papers). Masaru Mizoguchi collaborates with scholars based in Japan, Indonesia and United States. Masaru Mizoguchi's co-authors include Kunio Watanabe, Jiřı́ Šimůnek, Klas Hansson, Martinus Th. van Genuchten, Tsuyoshi Miyazaki, Takeshi Tokida, Lars‐Christer Lundin, Chusnul Arif, Ryusuke Hatano and Ryoichi Doi and has published in prestigious journals such as Geophysical Research Letters, Chemosphere and Soil Science Society of America Journal.

In The Last Decade

Masaru Mizoguchi

83 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Masaru Mizoguchi Japan 16 913 461 300 260 255 86 1.7k
Stefano Ferraris Italy 20 170 0.2× 283 0.6× 218 0.7× 344 1.3× 206 0.8× 61 1.2k
Colin S. Campbell United States 15 437 0.5× 518 1.1× 168 0.6× 1.0k 3.9× 354 1.4× 34 1.8k
Karem Chokmani Canada 23 424 0.5× 93 0.2× 330 1.1× 550 2.1× 597 2.3× 102 1.6k
Antonio Saá-Requejo Spain 20 129 0.1× 277 0.6× 289 1.0× 331 1.3× 380 1.5× 68 1.6k
Olaf Ippisch Germany 19 193 0.2× 558 1.2× 103 0.3× 588 2.3× 98 0.4× 41 1.1k
Satoshi Matsumoto Japan 32 188 0.2× 220 0.5× 495 1.6× 81 0.3× 170 0.7× 237 3.3k
Adolfo Posadas Peru 18 184 0.2× 248 0.5× 137 0.5× 237 0.9× 271 1.1× 40 1.1k
Amy L. Kaleita United States 19 128 0.1× 127 0.3× 305 1.0× 352 1.4× 227 0.9× 84 1.2k
Zhenhua Zhang China 22 178 0.2× 159 0.3× 124 0.4× 146 0.6× 154 0.6× 86 1.5k
L. Karthikeyan India 13 589 0.6× 146 0.3× 255 0.8× 869 3.3× 467 1.8× 32 1.5k

Countries citing papers authored by Masaru Mizoguchi

Since Specialization
Citations

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

Fields of papers citing papers by Masaru Mizoguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masaru Mizoguchi

This figure shows the co-authorship network connecting the top 25 collaborators of Masaru Mizoguchi. A scholar is included among the top collaborators of Masaru Mizoguchi 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 Masaru Mizoguchi. Masaru Mizoguchi 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.
Arif, Chusnul, Yohanes Aris Purwanto, Rudiyanto Rudiyanto, & Masaru Mizoguchi. (2024). Neural networks based-simple estimated model for greenhouse gas emission from irrigated paddy fields. IAES International Journal of Artificial Intelligence. 14(1). 231–231.
2.
Tokida, Takeshi, et al.. (2024). Impact of technology bundling on rice productivity: Insights from participatory on-farm trials in the Philippines. Field Crops Research. 320. 109674–109674.
3.
Chavalarias, David, et al.. (2020). Mobile-based traceability system for sustainable food supply networks. Nature Food. 1(11). 673–679. 24 indexed citations
4.
Kojima, Yuki, Kazuo Oki, Kosuke Noborio, & Masaru Mizoguchi. (2016). Estimating Soil Moisture Distributions across Small Farm Fields with ALOS/PALSAR. International Scholarly Research Notices. 2016. 1–8. 7 indexed citations
5.
6.
Nishiwaki, Junko, Masaru Mizoguchi, & Kosuke Noborio. (2015). Greenhouse Gas Emissions from Paddy Fields with Different Organic Matter Application Rates and Water Management Practices. 10(1). 1–6. 4 indexed citations
7.
Doi, Ryoichi, Chusnul Arif, Budi Setiawan, & Masaru Mizoguchi. (2013). Quantitative Use of Luminosity-normalized Grayscale Images of Greenness, Redness and Yellowness of a Rice Canopy Derived from Multi-temporally Acquired Digital Photographs. International Journal of Agriculture and Biology. 15(4). 707–712. 4 indexed citations
8.
Mizoguchi, Masaru. (2012). New Approaches for Decontamination of Farmland in Iitate Village. TRENDS IN THE SCIENCES. 17(10). 10_52–10_56. 1 indexed citations
9.
Arif, Chusnul, Masaru Mizoguchi, Masaru Mizoguchi, & Ryoichi Doi. (2012). Estimation of soil moisture in paddy field using Artificial Neural Networks. International Journal of Advanced Computer Science and Applications. 1(1). 37 indexed citations
10.
Tanaka, Kei, et al.. (2011). Tool for Predicting the Possibility of Rice Cultivation Using SIMRIW. Agricultural Information Research. 20(1). 1–12. 5 indexed citations
11.
Mizoguchi, Masaru, et al.. (2011). Quasi real-time field network system for monitoring remote agricultural fields. Society of Instrument and Control Engineers of Japan. 1586–1589. 8 indexed citations
12.
Seki, Katsutoshi, Katsumi Suzuki, T. Nishimura, et al.. (2010). Physical and chemical properties of soils in the fire-affected forest of east Kalimantan, Indonesia.. JOURNAL OF TROPICAL FOREST SCIENCE. 22(4). 414–424. 7 indexed citations
13.
Mizoguchi, Masaru, et al.. (2008). Effects of NaCl concentration on the thermal conductivity of sand and glass beads with moisture contents at levels below field capacity. Soil Science & Plant Nutrition. 54(6). 829–838. 15 indexed citations
14.
Tokida, Takeshi, et al.. (2007). Episodic release of methane bubbles from peatland during spring thaw. Chemosphere. 70(2). 165–171. 74 indexed citations
15.
Mizoguchi, Masaru, et al.. (2004). Phytoremediation of soils contaminated by cadmium. AGUFM. 2004. 1 indexed citations
16.
Hansson, Klas, et al.. (2004). Water Flow and Heat Transport in Frozen Soil: Numerical Solution and Freeze-Thaw Applications. Vadose Zone Journal. 3(2). 693–704. 143 indexed citations
17.
Yamaguchi, Noriko, Syuntaro Hiradate, Masaru Mizoguchi, & Tsuyoshi Miyazaki. (2003). Formation and disappearance of Al tridecamer in the presence of low molecular weight organic ligands. Soil Science & Plant Nutrition. 49(4). 551–556. 9 indexed citations
18.
Mizoguchi, Masaru & Jun Sato. (2003). Space-time invariants and video motion extraction from arbitrary viewpoints. 4. 56–59. 7 indexed citations
19.
Watanabe, Kunio, et al.. (2001). Water and Solute Distributions near an Ice Lens in a Glass-Powder Medium Saturated with Sodium Chloride Solution under Unidirectional Freezing. Crystal Growth & Design. 1(3). 207–211. 38 indexed citations
20.
Mizoguchi, Masaru. (1994). Thermal Hysteresis of Infrared Spectra of Corn Starch/Water Systems. Starch - Stärke. 46(7). 248–248. 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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