This map shows the geographic impact of P. E. Long'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 P. E. Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. E. Long more than expected).
This network shows the impact of papers produced by P. E. Long. 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 P. E. Long. The network helps show where P. E. Long may publish in the future.
Co-authorship network of co-authors of P. E. Long
This figure shows the co-authorship network connecting the top 25 collaborators of P. E. Long.
A scholar is included among the top collaborators of P. E. Long 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 P. E. Long. P. E. Long is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
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
5.
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
6.
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
Hazen, Terry C., Boris Faybishenko, Harry R. Beller, et al.. (2011). Comparison of Field Groundwater Biostimulation Experiments Using Polylactate and Lactate Solutions at the Chromium-Contaminated Hanford 100-H Site. AGUFM. 2011.1 indexed citations
Wilkins, Michael J., Kenneth H. Williams, Nathan C. VerBerkmoes, et al.. (2008). Proteogenomic Analysis of Geobacter Populations in a low Nutrient Contaminated Aquifer Under Stimulated Conditions.. AGU Fall Meeting Abstracts. 2008.
11.
Long, P. E., Kenneth H. Williams, Steven B. Yabusaki, et al.. (2008). Bioremediation of Metals and Radionuclides: Results from Field-scale Experiments and Future Prospects. AGU Fall Meeting Abstracts. 2008.
12.
Campbell, Kate M., Nikolla Qafoku, Ravi Kukkadapu, et al.. (2008). Characterizing the extent and role of natural subsurface bioreduction in a uranium-contaminated aquifer. GeCAS. 72(12).10 indexed citations
Gihring, Thomas M., James P. McKinley, J. K. Fredrickson, & P. E. Long. (2002). Subsurface Microbial Communities and Geochemistry Within a Vertical Transect of a Uranium-Contaminated Aquifer. AGU Fall Meeting Abstracts. 2002.1 indexed citations
15.
McKinley, James P., et al.. (2001). Chemical Evidence for Uranium Bioreduction at Shiprock, New Mexico. AGUFM. 2001.1 indexed citations
Long, P. E. & Robert A. Duncan. (1982). /sup 40/Ar//sup 39/Ar ages of Columbia River basalt from deep boreholes in south-central Washington. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).2 indexed citations
19.
Long, P. E., et al.. (1982). Geologic, geochemical rock mechanics and hydrologic characteristics of candidate repository horizons.2 indexed citations
20.
Rhodes, J. M., et al.. (1977). Magma mixing at mid-ocean ridges: evidence from DSDP legs 45 and 46. Geol. Soc. Am., Abstr. Programs; (United States).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.