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.
Spectral sensitivity of the foveal cone photopigments between 400 and 500 nm
19751.1k citationsVivianne C. Smith, Joel PokornyVision Researchprofile →
Melanopsin-expressing ganglion cells in primate retina signal colour and irradiance and project to the LGN
2005991 citationsDennis M. Dacey, Hsi‐Wen Liao et al.Natureprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Joel Pokorny'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 Joel Pokorny with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joel Pokorny more than expected).
This network shows the impact of papers produced by Joel Pokorny. 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 Joel Pokorny. The network helps show where Joel Pokorny may publish in the future.
Co-authorship network of co-authors of Joel Pokorny
This figure shows the co-authorship network connecting the top 25 collaborators of Joel Pokorny.
A scholar is included among the top collaborators of Joel Pokorny 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 Joel Pokorny. Joel Pokorny is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Pokorny, Joel & Dingcai Cao. (2010). ROD AND CONE CONTRIBUTIONS TO MESOPIC VISION.10 indexed citations
4.
Dacey, Dennis M., Hsi‐Wen Liao, Beth B. Peterson, et al.. (2005). Melanopsin-expressing ganglion cells in primate retina signal colour and irradiance and project to the LGN. Nature. 433(7027). 749–754.991 indexed citations breakdown →
Ts’o, Daniel Y., Mark D. Zarella, Jesse Schallek, et al.. (2005). The Origins of Stimulus Dependent Intrinsic Optical Signals of the Retina. Investigative Ophthalmology & Visual Science. 46(13). 2258–2258.2 indexed citations
Lee, B. B., Vivianne C. Smith, Joel Pokorny, & Jan Kremers. (1996). Rod inputs to macaque ganglion cells and their temporal dynamics. Investigative Ophthalmology & Visual Science. 37(3). 3149–3149.6 indexed citations
Smith, Vivianne C., Joel Pokorny, & B. B. Lee. (1991). The contrast gain of P-pathway and M-pathway cells expressed in cone contrast units.. Investigative Ophthalmology & Visual Science. 32(4). 1034–1034.7 indexed citations
11.
Vimal, Ram Lakhan Pandey, Joel Pokorny, Vivianne C. Smith, & Steven K. Shevell. (1989). Foveal cone thresholds. Vision Research. 29(1). 61–78.98 indexed citations
Zaidi, Qasim, Joel Pokorny, & Vivianne C. Smith. (1982). Sources of variation in blue-green equations (A). Journal of the Optical Society of America A. 72. 1727.2 indexed citations
18.
Pokorny, Joel, et al.. (1981). Human Color Vision. Optometry and Vision Science. 58(5). 420–422.3 indexed citations
19.
Pokorny, Joel. (1979). Congenital and acquired color vision defects. Grune & Stratton eBooks.224 indexed citations
20.
Pokorny, Joel, Richard W. Bowen, & Delwin T. Lindsey. (1977). Duration thresholds for chromatic stimuli (A). Journal of the Optical Society of America A. 67. 1380.1 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.