Hitoshi Toritani

1.1k total citations · 1 hit paper
21 papers, 895 citations indexed

About

Hitoshi Toritani is a scholar working on Water Science and Technology, Plant Science and Atmospheric Science. According to data from OpenAlex, Hitoshi Toritani has authored 21 papers receiving a total of 895 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Water Science and Technology, 8 papers in Plant Science and 6 papers in Atmospheric Science. Recurrent topics in Hitoshi Toritani's work include Rice Cultivation and Yield Improvement (5 papers), Water-Energy-Food Nexus Studies (5 papers) and Water resources management and optimization (4 papers). Hitoshi Toritani is often cited by papers focused on Rice Cultivation and Yield Improvement (5 papers), Water-Energy-Food Nexus Studies (5 papers) and Water resources management and optimization (4 papers). Hitoshi Toritani collaborates with scholars based in Japan, Thailand and South Korea. Hitoshi Toritani's co-authors include Masayuki Yokozawa, Hiroyuki Ohno, Toshihiro Sakamoto, Michio Shibayama, Tsuneo Kuwagata, Yasushi Ishigooka, Toshihiro Hasegawa, Anan Polthanee, Shinji Sawano and Jun Furuya and has published in prestigious journals such as Remote Sensing of Environment, Boundary-Layer Meteorology and Paddy and Water Environment.

In The Last Decade

Hitoshi Toritani

20 papers receiving 832 citations

Hit Papers

A crop phenology detection method using time-series MODIS... 2005 2026 2012 2019 2005 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hitoshi Toritani Japan 8 645 419 252 240 220 21 895
Herman Eerens Belgium 12 595 0.9× 543 1.3× 170 0.7× 232 1.0× 161 0.7× 25 877
Jihua Meng China 18 736 1.1× 463 1.1× 324 1.3× 329 1.4× 226 1.0× 47 1.1k
Valentine Lebourgeois France 11 668 1.0× 333 0.8× 386 1.5× 290 1.2× 136 0.6× 18 968
B. Akhmedov United States 8 656 1.0× 257 0.6× 319 1.3× 304 1.3× 112 0.5× 12 796
Margareth Simões Brazil 12 474 0.7× 352 0.8× 195 0.8× 179 0.7× 140 0.6× 30 813
Sibylle Itzerott Germany 15 513 0.8× 265 0.6× 211 0.8× 296 1.2× 135 0.6× 34 826
Francesco Nutini Italy 15 622 1.0× 389 0.9× 262 1.0× 320 1.3× 164 0.7× 31 908
A. C. Coutinho Brazil 13 557 0.9× 545 1.3× 157 0.6× 202 0.8× 104 0.5× 33 1.0k
S. Panigrahy India 17 478 0.7× 261 0.6× 292 1.2× 309 1.3× 274 1.2× 56 988
Cibele Hummel do Amaral Brazil 21 499 0.8× 350 0.8× 197 0.8× 352 1.5× 98 0.4× 50 947

Countries citing papers authored by Hitoshi Toritani

Since Specialization
Citations

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

Fields of papers citing papers by Hitoshi Toritani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hitoshi Toritani

This figure shows the co-authorship network connecting the top 25 collaborators of Hitoshi Toritani. A scholar is included among the top collaborators of Hitoshi Toritani 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 Hitoshi Toritani. Hitoshi Toritani 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.
Ishigooka, Yasushi, Tsuneo Kuwagata, Hitoshi Toritani, et al.. (2010). Estimation of saturated area in Northeast Thailand using large-scale water balance model. Journal of Agricultural Meteorology. 9(2). 168–168. 3 indexed citations
2.
Kuwagata, Tsuneo, Jun Furuya, Yasushi Ishigooka, et al.. (2008). Features of the AFFRC model for evaluating the relationship between the water cycle and rice production. Paddy and Water Environment. 6(1). 15–23. 1 indexed citations
3.
Sawano, Shinji, Toshihiro Hasegawa, Anan Polthanee, et al.. (2008). Modeling the dependence of the crop calendar for rain-fed rice on precipitation in Northeast Thailand. Paddy and Water Environment. 6(1). 83–90. 41 indexed citations
4.
Toritani, Hitoshi, et al.. (2008). Assessment of changes in water cycles on food production and alternative policy scenarios. Paddy and Water Environment. 6(1). 5–14. 3 indexed citations
5.
Kuwagata, Tsuneo, et al.. (2008). Characteristics of water balance in a rainfed paddy field in Northeast Thailand. Paddy and Water Environment. 6(1). 153–157. 16 indexed citations
6.
Mizoguchi, Masaru, S. Ninomiya, Tokihiro Fukatsu, et al.. (2008). REAL-TIME MONITORING OF FARMLAND IN ASIA USING FIELD SERVER. 4 indexed citations
7.
Hasegawa, Toshihiro, Shinji Sawano, Anan Polthanee, et al.. (2008). A model driven by crop water use and nitrogen supply for simulating changes in the regional yield of rain-fed lowland rice in Northeast Thailand. Paddy and Water Environment. 6(1). 73–82. 40 indexed citations
8.
Ishigooka, Yasushi, et al.. (2008). Modeling of continental-scale crop water requirement and available water resources. Paddy and Water Environment. 6(1). 55–71. 12 indexed citations
9.
Ishigooka, Yasushi, et al.. (2005). Assessment of Agricultural Water Resources in East Eurasia by using Continental Scale Water Dynamics Model. Journal of Agricultural Meteorology. 60(5). 421–424. 3 indexed citations
10.
Sakamoto, Toshihiro, et al.. (2005). A crop phenology detection method using time-series MODIS data. Remote Sensing of Environment. 96(3-4). 366–374. 723 indexed citations breakdown →
11.
Toritani, Hitoshi, et al.. (2000). . Journal of Agricultural Meteorology. 56(4). 311–316. 2 indexed citations
12.
Hayashi, Yousay, et al.. (1999). Projection of Paddy Rice Production in the Extent of Japan and Korea under Possible Fluctuation in Climate.. Journal of Agricultural Meteorology. 55(2). 117–125. 3 indexed citations
13.
Toritani, Hitoshi, Seiichiro Yonemura, & Masayuki Yokozawa. (1999). Potential rice yield in the 21st century in Japan under the climate change scenario based on MRI-CGCM. Medical Entomology and Zoology. 15(1). 8–16. 10 indexed citations
14.
Toritani, Hitoshi & Yousay Hayashi. (1996). Recent Studies of Local-scale Climate in Japan. 69(2). 194–205. 1 indexed citations
15.
Toritani, Hitoshi, et al.. (1994). Comparisons of observational data using a helicoptor with radio sonde data. 41(10). 669–677. 1 indexed citations
16.
Kobayashi, F., et al.. (1994). Wave trains over the sea due to sea breezes. Boundary-Layer Meteorology. 70(4). 329–340. 5 indexed citations
17.
Toritani, Hitoshi. (1990). A local climatological study on the mechanics of nocturnal cooling in plains and basins. Medical Entomology and Zoology. 13. 1–62. 10 indexed citations
18.
Toritani, Hitoshi, et al.. (1987). Estimation of net radiation and its seasonal variation.. Journal of Agricultural Meteorology. 43(1). 45–51. 1 indexed citations
19.
Toritani, Hitoshi. (1985). FORMATION OF COLD AIR LAKE AND COLD AIR DRAINAGE IN THE SUGADAIRA BASIN, NAGANO PREFECTURE, JAPAN. Geographical Review of Japan. 58(2). 67–79. 6 indexed citations
20.
Tanaka, H. L., et al.. (1982). FORMATION OF COLD AIR LAKE IN SUGADAIRA BASIIN. Geographical Review of Japan. 55(12). 849–856. 7 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026