K. Okamoto

492 total citations
23 papers, 379 citations indexed

About

K. Okamoto is a scholar working on Atmospheric Science, Global and Planetary Change and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, K. Okamoto has authored 23 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Atmospheric Science, 9 papers in Global and Planetary Change and 5 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in K. Okamoto's work include Soil and Water Nutrient Dynamics (5 papers), Remote Sensing and Land Use (5 papers) and Remote Sensing in Agriculture (4 papers). K. Okamoto is often cited by papers focused on Soil and Water Nutrient Dynamics (5 papers), Remote Sensing and Land Use (5 papers) and Remote Sensing in Agriculture (4 papers). K. Okamoto collaborates with scholars based in Japan, China and Belarus. K. Okamoto's co-authors include Hiroyuki Kawashima, Junko Shindo, M. Fukuhara, Hsiaoping Chien, Yongfu Chen, Xinru Han, Zhigang Wu, Eiichi Konohira, Naoki Ishitsuka and Jing Zhao and has published in prestigious journals such as The Science of The Total Environment, International Journal of Remote Sensing and Ecological Modelling.

In The Last Decade

K. Okamoto

21 papers receiving 355 citations

Peers

K. Okamoto

ECOLO

GPC

EEBS

Klaudia Schachtschneider South Africa

Axel Behrendt Germany

Xinfeng Zhao China

Pete Ingraham United States

Lotti Thöni Switzerland

W.W.P. Jans Netherlands

Sarah Waldo United States

M. Riedo Switzerland

Scott J. Ketcheson Canada

Klaudia Schachtschneider South Africa

K. Okamoto

144 ×0.9

ECOLO

137 ×1.3

GPC

44 ×0.5

64 ×0.9

25 ×0.3

EEBS

Citations per year, relative to K. Okamoto K. Okamoto (= 1×) peers Klaudia Schachtschneider

Countries citing papers authored by K. Okamoto

Since Specialization

Citations

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

Fields of papers citing papers by K. Okamoto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Okamoto

This figure shows the co-authorship network connecting the top 25 collaborators of K. Okamoto. A scholar is included among the top collaborators of K. Okamoto 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 K. Okamoto. K. Okamoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Sakamoto, Toshihiro, David S. Sprague, K. Okamoto, & Naoki Ishitsuka. (2018). Semi-automatic classification method for mapping the rice-planted areas of Japan using multi-temporal Landsat images. Remote Sensing Applications Society and Environment. 10. 7–17. 16 indexed citations

Chen, Yongfu, et al.. (2017). An assessment of climate change impacts on maize yields in Hebei Province of China. The Science of The Total Environment. 581-582. 507–517. 28 indexed citations

Okamoto, K., et al.. (2016). Estimating total area of paddy fields in Heilongjiang, China, around 2000 using Landsat Thematic Mapper/Enhanced Thematic Mapper Plus data. Remote Sensing Letters. 7(6). 533–540. 10 indexed citations

Okada, Masashi, Toshichika Iizumi, Gen Sakurai, et al.. (2015). Modeling irrigation‐based climate change adaptation in agriculture: Model development and evaluation in Northeast China. Journal of Advances in Modeling Earth Systems. 7(3). 1409–1424. 21 indexed citations

Chen, Yongfu, Zhigang Wu, K. Okamoto, et al.. (2013). The impacts of climate change on crops in China: A Ricardian analysis. Global and Planetary Change. 104. 61–74. 33 indexed citations

Shindo, Junko, K. Okamoto, Hiroyuki Kawashima, & Eiichi Konohira. (2009). Nitrogen flow associated with food production and consumption and its effect on water quality in Japan from 1961 to 2005. Soil Science & Plant Nutrition. 55(4). 532–545. 19 indexed citations

Shindo, Junko, K. Okamoto, & Hiroyuki Kawashima. (2006). Contribution of ammonia emission from agriculture to the atmospheric nitrogen load in East Asia. Journal of Japanese Association of Hydrological Sciences. 36(3). 95–104. 2 indexed citations

Wakamatsu, Takashi, Eiichi Konohira, Junko Shindo, et al.. (2006). Dissolved Inorganic Phosphate Concentration in Stream Water in Japan and Factors Controlling the Concentration. Journal of Japan Society on Water Environment. 29(11). 679–686. 11 indexed citations

Ishida, Hiroshi, et al.. (2005). Feasibility study of ocean color remote sensing for detecting ballast water. Advances in Space Research. 37(4). 787–792. 4 indexed citations

10.

Nakagawa, Katsuhiro, et al.. (2005). Field campaign of observing precipitation in the 2004 rainy season of Okinawa, Japan. 7. 5088–5091. 3 indexed citations

11.

Ishitsuka, Naoki, et al.. (2003). Methodology Development for Area Determination of Rice Planted Paddy Using RADARSAT Data. National Remote Sensing Bulletin. 23(5). 458–472. 7 indexed citations

12.

Shindo, Junko, K. Okamoto, & Hiroyuki Kawashima. (2003). A model-based estimation of nitrogen flow in the food production–supply system and its environmental effects in East Asia. Ecological Modelling. 169(1). 197–212. 32 indexed citations

13.

Okamoto, K., Masayuki Yokozawa, & Hiroto Kawashima. (2002). Evaluation of changes in climatic indices using combined analysis of remote sensing and GIS. 1. 133–138. 1 indexed citations

14.

Okamoto, K. & M. Fukuhara. (2002). Improvement in the accuracy of paddy field area estimation using the area ratio of each pixel derived from Landsat TM data. 10. 1699–1700.

15.

Okamoto, K.. (1999). Estimation of rice-planted area in the tropical zone using a combination of optical and microwave satellite sensor data. International Journal of Remote Sensing. 20(5). 1045–1048. 56 indexed citations

16.

Okamoto, K., et al.. (1998). Estimation of flood damage to rice production in North Korea in 1995. International Journal of Remote Sensing. 19(2). 365–371. 39 indexed citations

17.

Okamoto, K. & M. Fukuhara. (1996). Estimation of paddy field area using the area ratio of categories in each mixel of Landsat TM. International Journal of Remote Sensing. 17(9). 1735–1749. 40 indexed citations

18.

Okamoto, K., et al.. (1992). Evaluation of the Distribution of Red Soil Outflow in the Coral Reefs off the Northern Part of Okinawa Island by Using of the LANDSAT TM Data.. Journal of Geography (Chigaku Zasshi). 101(2). 107–116. 4 indexed citations

19.

Okamoto, K., et al.. (1990). Mapping method of soil organic matter content of obihiro area using landsat tm data.. Journal of the Japan society of photogrammetry and remote sensing. 29(6). 45–52. 1 indexed citations

20.

Okamoto, K.. (1983). Remote sensing of precipitation by weather radar system at space station. 263–269. 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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