This map shows the geographic impact of K. Emery'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. Emery with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Emery more than expected).
This network shows the impact of papers produced by K. Emery. 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. Emery. The network helps show where K. Emery may publish in the future.
Co-authorship network of co-authors of K. Emery
This figure shows the co-authorship network connecting the top 25 collaborators of K. Emery.
A scholar is included among the top collaborators of K. Emery 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. Emery. K. Emery is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Emery, K.. (2017). How [NOT] to Measure a Solar Cell to Get the Highest Efficiency. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).2 indexed citations
3.
Keevers, Mark, et al.. (2014). High Efficiency Spectrum Splitting Prototype Submodule Using Commercial CPV Cells (Presentation). OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).1 indexed citations
4.
Granata, Jennifer E, Michael A. Quintana, Christopher P. Cameron, et al.. (2011). PV Performance and Reliability Validation Capabilities at Sandia National Laboratories and The National Renewable Energy Laboratory.. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).1 indexed citations
5.
Kurtz, Sarah, Matthew Muller, Bill Marion, et al.. (2011). Considerations for How to Rate CPV. AIP conference proceedings. 25–29.11 indexed citations
6.
Emery, K., et al.. (2011). Monitoring System Performance. University of North Texas Digital Library (University of North Texas).4 indexed citations
Emery, K.. (2008). Photovoltaic Test Performance: Laboratory Test Procedures Measure Photovoltaic Cells and Modules According to International Standards. 42.1 indexed citations
9.
Emery, K.. (2007). ASTM Photovoltaic Performance Standards: Their Use at the National Renewable Energy Lab.1 indexed citations
Bailey, S.G., et al.. (2005). Standards for space solar cells and arrays. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 589. 95.4 indexed citations
13.
Kurtz, Sarah, M. W. Wanlass, C. Kramer, et al.. (2005). New GaInP/GaAs/GaInAs, Triple-Bandgap, Tandem Solar Cell for High-Efficiency Terrestrial Concentrator Systems. University of North Texas Digital Library (University of North Texas).1 indexed citations
14.
King, Richard R., C. M. Fetzer, K. Edmondson, et al.. (2004). METAMORPHIC III-V MATERIALS, SUBLATTICE DISORDER, AND MULTIJUNCTION SOLAR CELL APPROACHES WITH OVER 37% EFFICIENCY.34 indexed citations
15.
King, Richard R., C. M. Fetzer, P. C. Colter, et al.. (2003). Lattice-matched and metamorphic GaInP/GaInAs/Ge concentrator solar cells. World Conference on Photovoltaic Energy Conversion. 1. 622–625.17 indexed citations
Bird, Richard E., et al.. (1981). Terrestrial solar spectra, solar simulation and solar cell efficiency measurement.6 indexed citations
20.
Emery, K. & J. DuBow. (1980). Automated electronic analysis of solar cells. Photovoltaic Specialists Conference. 506–510.1 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.