Yo Shimizu

574 total citations
27 papers, 452 citations indexed

About

Yo Shimizu is a scholar working on Ecology, Global and Planetary Change and Plant Science. According to data from OpenAlex, Yo Shimizu has authored 27 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Ecology, 14 papers in Global and Planetary Change and 10 papers in Plant Science. Recurrent topics in Yo Shimizu's work include Remote Sensing in Agriculture (13 papers), Land Use and Ecosystem Services (9 papers) and Species Distribution and Climate Change (7 papers). Yo Shimizu is often cited by papers focused on Remote Sensing in Agriculture (13 papers), Land Use and Ecosystem Services (9 papers) and Species Distribution and Climate Change (7 papers). Yo Shimizu collaborates with scholars based in Japan, China and Canada. Yo Shimizu's co-authors include Kenji Omasa, Parinaz Rahimzadeh-Bajgiran, Fumiki Hosoi, Mitsuko Aono, Yu Zhang, Shan Lu, Yu Zhang, Izumi Washitani, Jun Ishii and Alba Lucía Chávez and has published in prestigious journals such as Atmospheric Environment, Sensors and Remote Sensing.

In The Last Decade

Yo Shimizu

25 papers receiving 438 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yo Shimizu Japan 11 234 182 171 160 91 27 452
M. Deshayes France 11 326 1.4× 173 1.0× 106 0.6× 152 0.9× 46 0.5× 24 468
Zhengfei Guo China 12 238 1.0× 235 1.3× 104 0.6× 113 0.7× 85 0.9× 21 408
Yuanyong Dian China 15 357 1.5× 170 0.9× 102 0.6× 268 1.7× 103 1.1× 43 594
Lukas Blickensdörfer Germany 5 208 0.9× 108 0.6× 69 0.4× 96 0.6× 78 0.9× 7 338
Shouzhi Chen China 15 417 1.8× 289 1.6× 208 1.2× 144 0.9× 117 1.3× 30 639
Zhenbang Hao China 12 291 1.2× 140 0.8× 79 0.5× 284 1.8× 44 0.5× 45 520
Chaichoke Vaiphasa Thailand 10 474 2.0× 99 0.5× 140 0.8× 87 0.5× 92 1.0× 13 623
Veronique V. Cheret France 10 300 1.3× 265 1.5× 88 0.5× 123 0.8× 62 0.7× 19 448
Christoph Hütt Germany 12 309 1.3× 114 0.6× 87 0.5× 198 1.2× 85 0.9× 22 468

Countries citing papers authored by Yo Shimizu

Since Specialization
Citations

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

Fields of papers citing papers by Yo Shimizu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yo Shimizu

This figure shows the co-authorship network connecting the top 25 collaborators of Yo Shimizu. A scholar is included among the top collaborators of Yo Shimizu 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 Yo Shimizu. Yo Shimizu 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.
2.
Lu, Xingtong, Eiichi Ōno, Shan Lu, et al.. (2020). Reconstruction method and optimum range of camera-shooting angle for 3D plant modeling using a multi-camera photography system. Plant Methods. 16(1). 118–118. 19 indexed citations
3.
Shimizu, Yo, et al.. (2019). A novel remote sensing-based method of ozone damage assessment effect on Net Primary Productivity of various vegetation types. Atmospheric Environment. 217. 116947–116947. 10 indexed citations
4.
Naito, Hiroki, Satoshi Ogawa, Milton Valencia-Ortiz, et al.. (2017). Estimating rice yield related traits and quantitative trait loci analysis under different nitrogen treatments using a simple tower-based field phenotyping system with modified single-lens reflex cameras. ISPRS Journal of Photogrammetry and Remote Sensing. 125. 50–62. 64 indexed citations
5.
Zhang, Yu, et al.. (2016). Estimating 3D Leaf and Stem Shape of Nursery Paprika Plants by a Novel Multi-Camera Photography System. Sensors. 16(6). 874–874. 52 indexed citations
6.
7.
Naito, Hiroki, Parinaz Rahimzadeh-Bajgiran, Yo Shimizu, Fumiki Hosoi, & Kenji Omasa. (2012). Summer-season Differences in NDVI and iTVDI among Vegetation Cover Types in Lake Mashu, Hokkaido, Japan Using Landsat TM Data. Environment Control in Biology. 50(2). 163–171. 1 indexed citations
8.
Hoshika, Yasutomo, Tomohiro Hajima, Yo Shimizu, Masayuki Takigawa, & Kenji Omasa. (2011). Estimation of stomatal ozone uptake of deciduous trees in East Asia. Annals of Forest Science. 68(3). 607–616. 12 indexed citations
9.
Shimizu, Yo & Kenji Omasa. (2010). Trends in flowering date of Japanese apricot (Prunus mume Sieb. et Zucc.) between 1961 and 2007. Journal of Agricultural Meteorology. 66(4). 279–288. 1 indexed citations
10.
Rahimzadeh-Bajgiran, Parinaz, Yo Shimizu, Fumiki Hosoi, & Kenji Omasa. (2009). MODIS vegetation and water indices for drought assessment in semi-arid ecosystems of Iran. Journal of Agricultural Meteorology. 65(4). 349–355. 25 indexed citations
11.
Lu, Shan, et al.. (2009). Estimation of abundance and distribution of two moist tall grasses in the Watarase wetland, Japan, using hyperspectral imagery. ISPRS Journal of Photogrammetry and Remote Sensing. 64(6). 674–682. 21 indexed citations
12.
Ishii, Jun, et al.. (2009). Mapping potential habitats of threatened plant species in a moist tall grassland using hyperspectral imagery. Biodiversity and Conservation. 18(9). 2521–2535. 13 indexed citations
13.
Lu, Shan, et al.. (2006). Estimation of Plant Abundance and Distribution of Miscanthus sacchariflorus and Phragmites australis Using Matched Filtering of Hyperspetral Image. 4 indexed citations
14.
ISHIGAMI, Yasuhiro, Yo Shimizu, & Kenji Omasa. (2005). Evaluation of the Risk to Natural Vegetation from Climate Change in Japan. Journal of Agricultural Meteorology. 61(1). 69–75. 4 indexed citations
15.
Nasu, Akira, Yo Shimizu, & Kenji Omasa. (2005). Statistical Analysis of the Relationship between Changes in Plant Phenology and Daily Mean Air Temperature in Japan under Climate Change. Journal of Agricultural Meteorology. 60(6). 1227–1229. 2 indexed citations
16.
Shimizu, Yo, Tomohiro Hajima, Y. Fujita, & Kenji Omasa. (2005). Development of the Bio-Geographical and GeoChemical (BGGC) Model for Assessments of Climate Change Impacts on the Terrestrial Ecosystem in Japan. Journal of Agricultural Meteorology. 60(5). 425–428.
17.
Shimizu, Yo, et al.. (2004). Analysis of Relationships between Air Temperature and Land Use Change in Urhan Area. Journal of Agricultural Meteorology. 60(4). 291–297. 4 indexed citations
18.
ISHIGAMI, Yasuhiro, Yo Shimizu, & Kenji Omasa. (2003). Projection of Climatic Change Effects on Potential Natural Vegetation Distribution in Japan. Journal of Agricultural Meteorology. 59(4). 269–276. 8 indexed citations
19.
ISHIGAMI, Yasuhiro, Yo Shimizu, & Kenji Omasa. (2002). Estimation of Potential Natural Vegetation Distribution in Japan Using a Process Model.. Journal of Agricultural Meteorology. 58(3). 123–133. 6 indexed citations
20.
Shimizu, Yo. (1999). Statistical Analysis of Land Use Mechanism for the Whole of Japan.. JOURNAL OF RURAL PLANNING ASSOCIATION. 18. 331–336. 1 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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