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.
Dark Matter Substructure within Galactic Halos
19991.9k citationsBen Moore, Sebastiano Ghigna et al.The Astrophysical Journalprofile →
Cold collapse and the core catastrophe
1999777 citationsBen Moore, Thomas Quinn et al.Monthly Notices of the Royal Astronomical Societyprofile →
Resolving the Structure of Cold Dark Matter Halos
1998555 citationsBen Moore, Fabio Governato et al.The Astrophysical Journalprofile →
Morphological Transformation from Galaxy Harassment
1998516 citationsBen Moore, George Lake et al.The Astrophysical Journalprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of George Lake'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 George Lake with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George Lake more than expected).
This network shows the impact of papers produced by George Lake. 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 George Lake. The network helps show where George Lake may publish in the future.
Co-authorship network of co-authors of George Lake
This figure shows the co-authorship network connecting the top 25 collaborators of George Lake.
A scholar is included among the top collaborators of George Lake 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 George Lake. George Lake is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Bruch, T., Justin I. Read, L. Baudis, & George Lake. (2009). Detecting the Milky Way's dark disk. Zurich Open Repository and Archive (University of Zurich).38 indexed citations
8.
D’Onghia, Elena & George Lake. (2008). The Magellanic Group and the Seven Dwarfs. Proceedings of the International Astronomical Union. 4(S256). 473–478.3 indexed citations
9.
Moore, Ben, Sebastiano Ghigna, Fabio Governato, et al.. (1999). Dark Matter Substructure within Galactic Halos. The Astrophysical Journal. 524(1). L19–L22.1850 indexed citations breakdown →
Richardson, D. C., George Lake, Thomas Quinn, & Joachim Stadel. (1998). Direct Simulation of Planet Formation With a Million Planetesimals: A Progress Report. Bulletin of the American Astronomical Society. 191.1 indexed citations
12.
Richardson, D. C., Thomas Quinn, Joachim Stadel, & George Lake. (1998). Direct Simulation of Planet Formation with a Million Planetesimals: First Results. Bulletin of the American Astronomical Society. 30. 1052.
13.
Moore, Ben, Fabio Governato, Thomas Quinn, Joachim Stadel, & George Lake. (1998). Resolving the Structure of Cold Dark Matter Halos. The Astrophysical Journal. 499(1). L5–L8.555 indexed citations breakdown →
Lake, George, Neal Katz, Thomas Quinn, & Joachim Stadel. (1994). Cosmological N-Body Simulation.. 184. 307–312.4 indexed citations
16.
Lake, George. (1990). The distribution of dark matter in Draco and Ursa Minor. Monthly Notices of the Royal Astronomical Society. 244(4). 701–705.12 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.