Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Countries citing papers authored by Gail E. Bingham
Since
Specialization
Citations
This map shows the geographic impact of Gail E. Bingham'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 Gail E. Bingham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gail E. Bingham more than expected).
This network shows the impact of papers produced by Gail E. Bingham. 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 Gail E. Bingham. The network helps show where Gail E. Bingham may publish in the future.
Co-authorship network of co-authors of Gail E. Bingham
This figure shows the co-authorship network connecting the top 25 collaborators of Gail E. Bingham.
A scholar is included among the top collaborators of Gail E. Bingham 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 Gail E. Bingham. Gail E. Bingham is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Bingham, Gail E., et al.. (2009). Application of Phase Change Cells as Temperature Reference for Blackbody Thermometry. AGUFM. 2009.1 indexed citations
5.
Sychev, Vladimir, et al.. (2008). The main goals of experiments with the higher plants in the project MARS - 500.. cosp. 37. 3107.1 indexed citations
6.
Bates, Scott C., et al.. (2008). Testing Crew Responses to Varied Higher Plant Presentations in the MARS-500 Day Mission Simulation. ESASP. 553. 33.1 indexed citations
7.
Jones, Scott B., et al.. (2008). Oxygen diffusion measurements in porous media on the ISS: One piece of the puzzle for optimal root zone performance. 37. 1399.1 indexed citations
8.
Scott, D. K., et al.. (2008). Re-Calibration of Temperature Sensors Using Phase Change Cells. AGUFM. 2008.1 indexed citations
9.
Bingham, Gail E., et al.. (2007). Phase Change Material Development and Space Qualification for Long Term IR Sensor Calibration Stability. AGU Fall Meeting Abstracts. 2007.1 indexed citations
10.
Kuang, Anxiu, et al.. (2007). MODIFICATION OF RESERVE DEPOSITION IN WHEAT AND BRASSICA SEEDS BY SYNTHETIC ATMOSPHERES AND MICROGRAVITY. Gravitational and Space Research. 19(2).2 indexed citations
Bingham, Gail E. & Esmaiel Malek. (1993). Atmospheric Radiation Balance Over Alfalfa. 937–944.2 indexed citations
16.
Malek, Esmaiel & Gail E. Bingham. (1993). Growing Season Evapotranspiration and Crop Coefficient. 961–968.5 indexed citations
17.
Bowles, David S., et al.. (1990). Development of Mountain Climate Generator and Snowpack Model for Erosion Predictions in the Western United States Using WEPP, Progress Report No. 2. Digital Commons - USU (Utah State University).
18.
King, Darran, Gail E. Bingham, & J.R. Kercher. (1985). Estimating the direct effect of CO/sub 2/ on soybean yield. Journal of Environmental Management. 20(1). 51–62.4 indexed citations
Bingham, Gail E., et al.. (1981). Performance of a field deployable hydrocarbon gas sensor (A). Journal of the Optical Society of America A. 71. 1606.1 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.