Satoshi Kameyama

927 total citations
31 papers, 700 citations indexed

About

Satoshi Kameyama is a scholar working on Ecology, Nature and Landscape Conservation and Water Science and Technology. According to data from OpenAlex, Satoshi Kameyama has authored 31 papers receiving a total of 700 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Ecology, 8 papers in Nature and Landscape Conservation and 7 papers in Water Science and Technology. Recurrent topics in Satoshi Kameyama's work include Fish Ecology and Management Studies (7 papers), Hydrology and Watershed Management Studies (6 papers) and Infrastructure Maintenance and Monitoring (5 papers). Satoshi Kameyama is often cited by papers focused on Fish Ecology and Management Studies (7 papers), Hydrology and Watershed Management Studies (6 papers) and Infrastructure Maintenance and Monitoring (5 papers). Satoshi Kameyama collaborates with scholars based in Japan, France and China. Satoshi Kameyama's co-authors include Futoshi Nakamura, Michio Fukushima, Masami Kaneko, Shigeru Mizugaki, Bunkei Matsushita, E. Ashley Steel, Teiji Watanabe, Feng Ye, Ming Xu and Jin Chen and has published in prestigious journals such as PLoS ONE, Journal of Applied Physics and The Science of The Total Environment.

In The Last Decade

Satoshi Kameyama

28 papers receiving 650 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Satoshi Kameyama Japan 13 422 240 170 118 104 31 700
John R. Durand United States 12 265 0.6× 240 1.0× 306 1.8× 124 1.1× 21 0.2× 25 653
Antóin M. O’Sullivan Canada 14 276 0.7× 237 1.0× 108 0.6× 139 1.2× 13 0.1× 34 489
Yoshihisa AKAMATSU Japan 13 646 1.5× 155 0.6× 75 0.4× 58 0.5× 47 0.5× 105 817
Sheng-Ping Wang China 16 157 0.4× 220 0.9× 513 3.0× 273 2.3× 119 1.1× 54 693
M. Jungwirth Austria 17 849 2.0× 703 2.9× 192 1.1× 326 2.8× 277 2.7× 33 1.2k
Paul A. Levine United States 9 292 0.7× 157 0.7× 184 1.1× 79 0.7× 152 1.5× 18 557
Paul Boudreau Canada 14 503 1.2× 328 1.4× 475 2.8× 92 0.8× 20 0.2× 33 945
Édipo Henrique Cremon Brazil 13 150 0.4× 112 0.5× 53 0.3× 64 0.5× 84 0.8× 25 425
Jesse R. Fischer United States 13 298 0.7× 356 1.5× 81 0.5× 49 0.4× 22 0.2× 35 497
Pedro Val United States 11 109 0.3× 177 0.7× 87 0.5× 23 0.2× 25 0.2× 22 498

Countries citing papers authored by Satoshi Kameyama

Since Specialization
Citations

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

Fields of papers citing papers by Satoshi Kameyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Satoshi Kameyama

This figure shows the co-authorship network connecting the top 25 collaborators of Satoshi Kameyama. A scholar is included among the top collaborators of Satoshi Kameyama 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 Satoshi Kameyama. Satoshi Kameyama 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
2.
Kameyama, Satoshi, et al.. (2022). Hydrological environment affects the nutrient retention and runoff function of naturally re-wetted agricultural peatland in lowland river floodplain. The Science of The Total Environment. 857(Pt 3). 159483–159483. 5 indexed citations
3.
Kume, Manabu, Yuki Terashima, Feng Ye, et al.. (2021). Effects of forest cover on richness of threatened fish species in Japan. Conservation Biology. 36(3). e13847–e13847. 6 indexed citations
4.
Ye, Feng & Satoshi Kameyama. (2021). Long-term nationwide spatiotemporal changes of freshwater temperature in Japan during 1982–2016. Journal of Environmental Management. 281. 111866–111866. 10 indexed citations
5.
Kasai, Akihide, Hiroki Yamanaka, Satoshi Kameyama, et al.. (2021). Distribution of Japanese Eel Anguilla japonica Revealed by Environmental DNA. Frontiers in Ecology and Evolution. 9. 26 indexed citations
6.
Kume, Manabu, Yuki Terashima, Feng Ye, et al.. (2020). Evaluation of fish biodiversity in estuaries using environmental DNA metabarcoding. PLoS ONE. 15(10). e0231127–e0231127. 39 indexed citations
7.
Kume, Manabu, Yuki Terashima, Kohmei Kadowaki, et al.. (2020). Factors structuring estuarine and coastal fish communities across Japan using environmental DNA metabarcoding. Ecological Indicators. 121. 107216–107216. 33 indexed citations
8.
Ye, Feng & Satoshi Kameyama. (2019). Long-term spatiotemporal changes of 15 water-quality parameters in Japan: An exploratory analysis of countrywide data during 1982–2016. Chemosphere. 242. 125245–125245. 21 indexed citations
9.
Kawamura, Atsuo, et al.. (2014). Some considerations on the measurement and evaluation of road roughness. 3(1).
10.
Kameyama, Satoshi, et al.. (2012). Effects of Freeze-Thawing on Mechanical Behavior of Granular Base in Cold Regions. 6 indexed citations
11.
Fukushima, Michio, et al.. (2007). How do dams affect freshwater fish distributions in Japan? Statistical analysis of native and nonnative species with various life histories. Ecological Research. 23(4). 735–743. 63 indexed citations
12.
Fukushima, Michio & Satoshi Kameyama. (2006). . Ecology and Civil Engineering. 8(2). 233–244. 10 indexed citations
13.
Kameyama, Satoshi, et al.. (2005). CHARACTERISTICS OF LONGITUDINAL PROFILE OF EXPRESSWAY AFFECTED BY FROST HEAVE. Doboku Gakkai Ronbunshu. 2005(802). 802_223–802_234. 1 indexed citations
14.
Kameyama, Satoshi, et al.. (2004). Measurement of sidewalk profile using portable profilers developed in Japan. 1 indexed citations
15.
Kameyama, Satoshi. (2004). An Approach to Estimate the Water Level and Volume of Dongting Lake Using Terra/MODIS Data. 11 indexed citations
16.
Matsushita, Bunkei, Ming Xu, Jin Chen, Satoshi Kameyama, & Masayuki Tamura. (2004). Estimation of regional net primary productivity (NPP) using a process-based ecosystem model: How important is the accuracy of climate data?. Ecological Modelling. 178(3-4). 371–388. 65 indexed citations
17.
Nakamura, Futoshi, Satoshi Kameyama, & Shigeru Mizugaki. (2003). Rapid shrinkage of Kushiro Mire, the largest mire in Japan, due to increased sedimentation associated with land-use development in the catchment. CATENA. 55(2). 213–229. 51 indexed citations
18.
Kameyama, Satoshi, et al.. (2002). The effects of frost heave on the longitudinal profile of asphalt pavements in cold regions. 4 indexed citations
19.
Kameyama, Satoshi, Yoshiki Yamagata, Futoshi Nakamura, & Masami Kaneko. (2001). Development of WTI and turbidity estimation model using SMA — application to Kushiro Mire, eastern Hokkaido, Japan. Remote Sensing of Environment. 77(1). 1–9. 33 indexed citations
20.
Nakamura, Futoshi, et al.. (1997). Influences of channelization on discharge of suspended sediment and wetland vegetation in Kushiro Marsh, northern Japan. Geomorphology. 18(3-4). 279–289. 67 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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