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.
Contrasting carbon cycle responses of the tropical continents to the 2015–2016 El Niño
2017323 citationsA. Anthony Bloom, Debra Wunch et al.profile →
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 David Crisp'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 David Crisp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Crisp more than expected).
This network shows the impact of papers produced by David Crisp. 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 David Crisp. The network helps show where David Crisp may publish in the future.
Co-authorship network of co-authors of David Crisp
This figure shows the co-authorship network connecting the top 25 collaborators of David Crisp.
A scholar is included among the top collaborators of David Crisp 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 David Crisp. David Crisp is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Crisp, David, A. Eldering, & M. R. Gunson. (2014). Preliminary Results from the NASA Orbiting Carbon Observatory–2 (OCO-2). 2014 AGU Fall Meeting. 2014.2 indexed citations
12.
Crisp, David & Charles Miller. (2010). Contributions of the Orbiting Carbon Observatory (OCO) to the detection of anthropogenic CO2 emissions. EGU General Assembly Conference Abstracts. 7342.3 indexed citations
13.
Crisp, David, et al.. (2008). The NASA Orbiting Carbon Observatory (OCO) Mission: Objectives, Approach, and Status.4 indexed citations
Zuffada, Cinzia & David Crisp. (1997). Particle Scattering in the Resonance Regime: Full-Wave Solution for Axisymmetric Particles with Large Aspect Ratios. Journal of the Optical Society of America A. 14(2).3 indexed citations
16.
Brooke, T. Y., G. S. Orton, David Crisp, A. J. Friedson, & G. Bjoraker. (1994). Near-Infrared Spectroscopy of the Shoemaker-Levy 9 Impact Sites with UKIRT: CO, NH 3 , and Haze Layers. 26. 1585.1 indexed citations
17.
Crisp, David, D. A. Allen, Bruno Bézard, C. de Bérgh, & J. P. Maillard. (1991). Intense Localized Near-Infrared Oxygen Airglow on the Venus Night Side. Bulletin of the American Astronomical Society. 23. 1194.1 indexed citations
18.
Bézard, Bruno, C. de Bérgh, J. P. Maillard, et al.. (1991). High-Resolution Spectroscopy of Venus's Night Side in the 2.3, 1.7, and 1.1-1.3μm Windows. Bulletin of the American Astronomical Society. 23. 1192.1 indexed citations
19.
Crisp, David, R. M. C. Lopes, S. K. Stephens, et al.. (1990). Near-Infrared Images of the Venus Night Side Before and After the January, 18, 1990, Inferior Conjunction. Bulletin of the American Astronomical Society. 22. 1053.3 indexed citations
20.
Crisp, David, et al.. (1988). Direct Measurements of Lower Themospheric Circulation on Venus Using Doppler-Limited Infrared Spectroscopy. Bulletin of the American Astronomical Society. 20. 833.3 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.