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.
A Nongray Theory of Extrasolar Giant Planets and Brown Dwarfs
1997763 citationsAdam Burrows, Mark S. Marley et al.The Astrophysical Journalprofile →
Development of a minimum data set-based depression rating scale for use in nursing homes
This map shows the geographic impact of Adam Burrows'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 Adam Burrows with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adam Burrows more than expected).
This network shows the impact of papers produced by Adam Burrows. 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 Adam Burrows. The network helps show where Adam Burrows may publish in the future.
Co-authorship network of co-authors of Adam Burrows
This figure shows the co-authorship network connecting the top 25 collaborators of Adam Burrows.
A scholar is included among the top collaborators of Adam Burrows 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 Adam Burrows. Adam Burrows is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Deming, Drake, Avi M. Mandell, Heather A. Knutson, et al.. (2019). Arizona State University Library Digital Repository (Arizona State University).61 indexed citations
6.
Daemgen, S., Kamen Todorov, Thayne Currie, et al.. (2017). . UvA-DARE (University of Amsterdam).4 indexed citations
Deming, Drake, Ashlee Wilkins, Nikku Madhusudhan, et al.. (2012). Infrared Spectroscopy of the Transiting Exoplanets HD189733b and XO-1 Using Hubble WFC3 in Spatial Scan Mode. 219.1 indexed citations
Lewis, Nikole K., A. P. Showman, Jonathan J. Fortney, et al.. (2011). Analysis of HAT-P-2b Warm Spitzer Full Orbit Light Curve. 218.
13.
McCullough, P. R., Christopher J. Burke, Adam Burrows, et al.. (2008). Thermal Inversion in the atmosphere of XO-3b. 525.
14.
Ott, Christian D., et al.. (2005). One-armed Spiral Instability in a Slowly Rotating, Post-Bounce Supernova Core. Max Planck Digital Library.1 indexed citations
15.
Trauger, John T., Tony Hull, Karl Stapelfeldt, et al.. (2002). The Eclipse Mission: A Direct Imaging Survey of Nearby Planetary Systems. AAS. 201.1 indexed citations
16.
Trauger, John T., D. E. Backman, Robert A. Brown, et al.. (2000). Eclipse, A Direct Imaging Investigation of Nearby Planetary Systems. AAS. 197.1 indexed citations
17.
Burrows, Adam, T. Young, Philip A. Pinto, R. G. Eastman, & Todd A. Thompson. (1999). Supernova Neutrinos and a New Algorithm for Neutrino Transport. arXiv (Cornell University).1 indexed citations
18.
Burrows, Adam, Mark S. Marley, W. B. Hubbard, et al.. (1998). The Spectral Character of Giant Planets and Brown Dwarfs. CERN Bulletin. 154. 27.2 indexed citations
19.
Hubbard, W. B., J. I. Lunine, D. Saumon, & Adam Burrows. (1994). Ignition of Deuterium in Low-mass Brown Dwarfs. AAS. 185.
20.
Lattimer, James M. & Adam Burrows. (1990). Effects of the equation of state in neutron stars and in stellar collapse. European Southern Observatory Conference and Workshop Proceedings. 37. 69.1 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.