Countries citing papers authored by Tetsu K. Tokunaga
Since
Specialization
Citations
This map shows the geographic impact of Tetsu K. Tokunaga'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 Tetsu K. Tokunaga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tetsu K. Tokunaga more than expected).
Fields of papers citing papers by Tetsu K. Tokunaga
This network shows the impact of papers produced by Tetsu K. Tokunaga. 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 Tetsu K. Tokunaga. The network helps show where Tetsu K. Tokunaga may publish in the future.
Co-authorship network of co-authors of Tetsu K. Tokunaga
This figure shows the co-authorship network connecting the top 25 collaborators of Tetsu K. Tokunaga.
A scholar is included among the top collaborators of Tetsu K. Tokunaga 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 Tetsu K. Tokunaga. Tetsu K. Tokunaga is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Hubbard, Susan S., Kenneth H. Williams, Jillian F. Banfield, et al.. (2017). Predictive Understanding of Mountainous Watershed Hydro-Biogeochemical Function and Response to Perturbations. AGU Fall Meeting Abstracts. 2017.1 indexed citations
Faybishenko, Boris, P. E. Long, Tetsu K. Tokunaga, & John N. Christensen. (2015). Statistical Analysis of Meteorological Data to Assess Evapotranspiration and Infiltration at the Rifle Site, CO, USA. AGU Fall Meeting Abstracts. 2015.1 indexed citations
Tokunaga, Tetsu K., Jiamin Wan, Wenming Dong, et al.. (2014). Water and Carbon Fluxes in a Semi-Arid Region Floodplain: Multiple Approaches to Constrain Estimates of Seasonal- and Depth Dependent Fluxes at Rifle, Colorado. 2014 AGU Fall Meeting. 2014.1 indexed citations
9.
Christensen, John N., Alyssa E. Shiel, Mark E. Conrad, et al.. (2014). Uranium and Strontium Isotopic Study of the Hydrology of the Alluvial Aquifer at the Rifle Former U Mine Tailings Site, Colorado. AGU Fall Meeting Abstracts. 2014.1 indexed citations
10.
Conrad, Mark E., Bhavna Arora, Kenneth H. Williams, et al.. (2014). Using Concentrations and Isotopic Compositions of CO 2 to Distinguish Microbial Production of CO 2 in Unsaturated Zone Sediments in Hydrogeochemical Models. 2014 AGU Fall Meeting. 2014.1 indexed citations
11.
Han, Yinghui & Tetsu K. Tokunaga. (2012). Testing CO2 Sequestration in an Alkaline Soil Treated with Flue Gas Desulfurization Gypsum (FGDG). AGUFM. 2012.1 indexed citations
Tokunaga, Tetsu K., et al.. (2000). Variation of natural 15N abundance (δ15N) in paddy rice supplied with chemical fertilizers and livestock manures, and estimation of soil-, manure- and fertilizer-derived N by the isotope mass balance method.. 71(4). 447–453.3 indexed citations
16.
Ghini, R., et al.. (2000). Control of Phytophthora sp. and economic evaluation of a solar collector for substrate disinfection.. 13(1). 11–14.2 indexed citations
Tokunaga, Tetsu K., Ingrid J. Pickering, & Gordon E. Brown. (1996). Selenium Transformations in Ponded Sediments. Soil Science Society of America Journal. 60(3). 781–790.73 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.