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.
The luminous blue variables: Astrophysical geysers
1994549 citationsR. M. Humphreys, Kris Davidsonprofile →
Author Peers
Peers are selected by citation overlap in the author's most active subfields.
citations ·
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This map shows the geographic impact of Kris Davidson'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 Kris Davidson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kris Davidson more than expected).
This network shows the impact of papers produced by Kris Davidson. 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 Kris Davidson. The network helps show where Kris Davidson may publish in the future.
Co-authorship network of co-authors of Kris Davidson
This figure shows the co-authorship network connecting the top 25 collaborators of Kris Davidson.
A scholar is included among the top collaborators of Kris Davidson 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 Kris Davidson. Kris Davidson is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Mehner, A., W. Steffen, J. H. Groh, et al.. (2016). Dissecting a supernova impostor's circumstellar medium: MUSEing about the SHAPE of eta Carinae's outer ejecta. White Rose Research Online (University of Leeds, The University of Sheffield, University of York).8 indexed citations
8.
Davidson, Kris, A. Mehner, R. M. Humphreys, & John Martin. (2014). Eta Car's spectroscopic event compared to 2009. ATel. 6448. 1.1 indexed citations
Weis, K., M. F. Corcoran, & Kris Davidson. (2001). Analysis of η Carinae's outer Ejecta using CHANDRA and HST/STIS Data. 18.1 indexed citations
11.
Gull, T. R., et al.. (2001). The Strontium Filament within the Homunculus of Eta Carinae. Lund University Publications (Lund University). 33(4). 1505–1505.1 indexed citations
12.
Gull, T. R., Sveneric Johansson, & Kris Davidson. (2001). Eta Carinae and other mysterious stars : the hidden opportunities of emission line spectroscopy : proceedings of an International Conference held at Tycho Brahe's Island, Hven, Sweden, 24-26 August 2000. Astronomical Society of the Pacific eBooks.10 indexed citations
13.
Gull, T. R., et al.. (2001). Eta Carinae and Other Mysterious Stars: The Hidden Opportunities of Emission Spectroscopy.. ASPC. 242.38 indexed citations
14.
Hillier, D. J., et al.. (1999). Eta Carinae: The Central Star. ASPC. 195. 15.2 indexed citations
15.
Hamann, F., et al.. (1998). Preliminary Analysis of HST-STIS Spectra of Compact Ejecta from Eta Carinae. ASPC. 179. 116.1 indexed citations
16.
Davidson, Kris, et al.. (1997). Strange velocities in the equatorial ejecta of Eta Carinae. American Astronomical Society Meeting Abstracts. 191.
17.
Morse, Jon A., Kris Davidson, & D. Ebbets. (1997). Multi-band WFPC2 Imaging of Eta Carinae. 190.
18.
Malumuth, E. M., et al.. (1993). Proper Motions of the N Condensations of Eta Carinae. ASPC. 35. 263.
19.
Ebbets, D., R. J. White, N. R. Walborn, Kris Davidson, & E. M. Malumuth. (1992). Imaging of Eta Carinae With the HST Planetary Camera. 179. 395.
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.