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 Reevaluation of Impact Melt Production
1997412 citationsE. Pierazzo, A. M. Vickery et al.Icarusprofile →
Citations per year, relative to A. M. Vickery A. M. Vickery (= 1×)
peers
Matija Ćuk
Countries citing papers authored by A. M. Vickery
Since
Specialization
Citations
This map shows the geographic impact of A. M. Vickery'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 A. M. Vickery with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. M. Vickery more than expected).
This network shows the impact of papers produced by A. M. Vickery. 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 A. M. Vickery. The network helps show where A. M. Vickery may publish in the future.
Co-authorship network of co-authors of A. M. Vickery
This figure shows the co-authorship network connecting the top 25 collaborators of A. M. Vickery.
A scholar is included among the top collaborators of A. M. Vickery 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 A. M. Vickery. A. M. Vickery is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Pierazzo, E., A. M. Vickery, & H. J. Melosh. (1995). A Re-Evaluation of Impact Melt/Vapor Production. Lunar and Planetary Science Conference. 26. 1119.4 indexed citations
Vickery, A. M.. (1994). Impact Erosion of Atmospheres. Lunar and Planetary Science Conference. 1437.1 indexed citations
4.
Asphaug, E., H. J. Melosh, & A. M. Vickery. (1993). High-velocity Ejection of Large Fragments from Asteroids in Non-Catastrophic Impact Events: Results for Vesta. LPICo. 810. 18.1 indexed citations
5.
Vickery, A. M. & H. J. Melosh. (1993). Origin of Rabinowitz Objects: Constraints from Orbital Evolution Models. Metic. 28(3). 453.1 indexed citations
6.
Vickery, A. M., D. A. Kring, & H. J. Melosh. (1992). Ejecta Associated with Large Terrestrial Impacts: Implications for the Chicxulub Impact and K/T Boundary Stratigraphy. Lunar and Planetary Science Conference. 23. 1473.13 indexed citations
7.
Vickery, A. M. & H. J. Melosh. (1991). Melt Droplet Formation in Energetic Impacts. 22. 1441.1 indexed citations
8.
Melosh, H. J., et al.. (1991). Impacts and the Early Environment and Evolution of the Terrestrial Planets. 1339.2 indexed citations
9.
Vickery, A. M. & H. J. Melosh. (1991). Production of impact melt in craters on Venus, Earth, and the moon. NASA Technical Reports Server (NASA). 22. 1443.7 indexed citations
10.
Vickery, A. M., et al.. (1991). Water Depletion in Tektites. 54. 233.3 indexed citations
11.
Vickery, A. M.. (1990). Jetting and the origin of tektites. NASA Technical Reports Server (NASA). 20. 1154.1 indexed citations
12.
Vickery, A. M.. (1990). Interaction Between Ejecta Vapor Plumes and Atmospheres, with Application to the KT Extinctions. Lunar and Planetary Science Conference. 21. 1270.1 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.