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 Simple Model for the Absorption of Starlight by Dust in Galaxies
2000940 citationsS. Michael Fall et al.The Astrophysical Journalprofile →
Formation and rotation of disc galaxies with haloes
1980749 citationsS. Michael Fall et al.Monthly Notices of the Royal Astronomical Societyprofile →
Countries citing papers authored by S. Michael Fall
Since
Specialization
Citations
This map shows the geographic impact of S. Michael Fall'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 S. Michael Fall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Michael Fall more than expected).
This network shows the impact of papers produced by S. Michael Fall. 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 S. Michael Fall. The network helps show where S. Michael Fall may publish in the future.
Co-authorship network of co-authors of S. Michael Fall
This figure shows the co-authorship network connecting the top 25 collaborators of S. Michael Fall.
A scholar is included among the top collaborators of S. Michael Fall 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 S. Michael Fall. S. Michael Fall is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Fall, S. Michael. (2015). Formation, Evolution, and Survival of Massive Star Clusters. 29. 2222214.9 indexed citations
10.
Whitmore, Bradley C., Rupali Chandar, & S. Michael Fall. (2007). Star Cluster Demographics: A General Framework and Application to the Antennae Galaxies. AAS. 210.2 indexed citations
Khare, Pushpa, Varsha P. Kulkarni, J. T. Lauroesch, et al.. (2005). Evolution of metals and dust in the universe. Bulletin of the Astronomical Society of India. 33(2). 219.1 indexed citations
13.
Fall, S. Michael. (2002). Origin of Galactic Disks. ASPC. 275. 389–396.1 indexed citations
14.
Møller, P., S. J. Warren, S. Michael Fall, P. Jakobsen, & J. P. U. Fynbo. (2000). SPSF subtraction II: The extended Lyα emission of a radio quiet QSO.. Msngr. 99. 33–35.2 indexed citations
15.
Livio, Mario, S. Michael Fall, & Piero Madau. (1998). The Hubble Deep Field : proceedings of the Space Telescope Science Institute Symposium, held in Baltimore, Maryland, May 6-9, 1997. Cambridge University Press eBooks.5 indexed citations
16.
Fall, S. Michael. (1990). CONTROL OF COYOTE PREDATION ON LIVESTOCK-PROGRESS IN RESEARCH AND DEVELOPMENT. Insecta mundi. 14(14). 245–251.8 indexed citations
17.
Elson, R. A. W., S. Michael Fall, & K. C. Freeman. (1988). The Stellar Content of Rich Young Clusters in the Large Magellanic Cloud. Bulletin of the American Astronomical Society. 20. 965.1 indexed citations
Fall, S. Michael. (1980). Dynamical aspects of galaxy clustering. Philosophical Transactions of the Royal Society of London Series A Mathematical and Physical Sciences. 296(1419). 339–345.1 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.