Alison Sills

4.9k total citations · 1 hit paper
99 papers, 3.1k citations indexed

About

Alison Sills is a scholar working on Astronomy and Astrophysics, Instrumentation and Statistical and Nonlinear Physics. According to data from OpenAlex, Alison Sills has authored 99 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Astronomy and Astrophysics, 38 papers in Instrumentation and 3 papers in Statistical and Nonlinear Physics. Recurrent topics in Alison Sills's work include Stellar, planetary, and galactic studies (95 papers), Astrophysics and Star Formation Studies (77 papers) and Astronomy and Astrophysical Research (38 papers). Alison Sills is often cited by papers focused on Stellar, planetary, and galactic studies (95 papers), Astrophysics and Star Formation Studies (77 papers) and Astronomy and Astrophysical Research (38 papers). Alison Sills collaborates with scholars based in Canada, United States and United Kingdom. Alison Sills's co-authors include Marc H. Pinsonneault, Frederic A. Rasio, Nathan W. C. Leigh, C. Knigge, Jeremy J. Webb, Michael A. Kuhn, Konstantin V. Getman, Eric D. Feigelson, James C. Lombardi and Eric B. Ford and has published in prestigious journals such as Nature, Nature Communications and The Astrophysical Journal.

In The Last Decade

Alison Sills

97 papers receiving 2.9k citations

Hit Papers

Kinematics in Young Star Clusters and Associations with G... 2019 2026 2021 2023 2019 50 100 150 200

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Alison Sills Canada 32 3.0k 1.1k 113 83 63 99 3.1k
David L. Nidever United States 28 2.5k 0.8× 1.1k 1.0× 115 1.0× 79 1.0× 101 1.6× 67 2.5k
Bun’ei Sato Japan 27 1.9k 0.6× 678 0.6× 79 0.7× 56 0.7× 45 0.7× 78 1.9k
C. McCarthy United States 22 2.8k 0.9× 833 0.7× 81 0.7× 122 1.5× 71 1.1× 36 2.9k
D. M. Terndrup United States 29 2.6k 0.9× 1.1k 1.0× 138 1.2× 59 0.7× 79 1.3× 89 2.6k
V. Ripepi Italy 28 2.5k 0.8× 1.2k 1.1× 205 1.8× 38 0.5× 124 2.0× 154 2.6k
T. Bensby Sweden 28 3.6k 1.2× 1.5k 1.3× 262 2.3× 40 0.5× 93 1.5× 61 3.7k
José G. Fernández-Trincado Chile 23 1.8k 0.6× 909 0.8× 81 0.7× 46 0.6× 52 0.8× 108 1.9k
A. Nanni Italy 16 3.9k 1.3× 1.9k 1.7× 128 1.1× 42 0.5× 115 1.8× 37 4.0k
R. D. Jeffries United Kingdom 31 3.1k 1.0× 1.0k 0.9× 109 1.0× 225 2.7× 88 1.4× 119 3.1k
D. Romano Italy 29 2.5k 0.8× 826 0.7× 290 2.6× 56 0.7× 33 0.5× 82 2.6k

Countries citing papers authored by Alison Sills

Since Specialization
Citations

This map shows the geographic impact of Alison Sills'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 Alison Sills with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alison Sills more than expected).

Fields of papers citing papers by Alison Sills

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alison Sills. 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 Alison Sills. The network helps show where Alison Sills may publish in the future.

Co-authorship network of co-authors of Alison Sills

This figure shows the co-authorship network connecting the top 25 collaborators of Alison Sills. A scholar is included among the top collaborators of Alison Sills 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 Alison Sills. Alison Sills 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.
Fujii, Michiko S., et al.. (2025). Dynamics of Star Cluster Formation: The Effects of Ongoing Star Formation and Stellar Feedback. The Astrophysical Journal. 984(1). 75–75. 2 indexed citations
2.
Geller, Aaron M., et al.. (2025). The Blue Lurker WOCS 14020: A Long-period Post-common-envelope Binary in M67 Originating from a Merger in a Triple System. The Astrophysical Journal Letters. 979(1). L1–L1. 4 indexed citations
3.
Ryu, Taeho, Alison Sills, Rüdiger Pakmor, S. E. de Mink, & Robert D. Mathieu. (2025). Magnetic Field Amplification during Stellar Collisions between Low-mass Stars. The Astrophysical Journal Letters. 980(2). L38–L38. 2 indexed citations
4.
Sills, Alison, William E. Harris, Steven Rieder, et al.. (2024). Massive Star Cluster Formation with Binaries. I. Evolution of Binary Populations. The Astrophysical Journal. 977(2). 203–203. 9 indexed citations
5.
Sills, Alison, et al.. (2024). Binary Disruption and Ejected Stars from Hierarchical Star Cluster Assembly. The Astrophysical Journal. 975(2). 207–207. 4 indexed citations
6.
Sills, Alison, et al.. (2024). Dynamics of Star Cluster Formation: Mergers in Gas-rich Environments. The Astrophysical Journal. 967(2). 86–86. 4 indexed citations
7.
Sills, Alison, et al.. (2023). Modelling star cluster formation: Gas accretion. Monthly Notices of the Royal Astronomical Society. 521(4). 5557–5569. 2 indexed citations
8.
McMillan, Stephen L. W., et al.. (2023). Early-forming Massive Stars Suppress Star Formation and Hierarchical Cluster Assembly. The Astrophysical Journal. 944(2). 211–211. 14 indexed citations
9.
Ferraro, F. R., A. Mucciarelli, B. Lanzoni, et al.. (2023). Fast rotating blue stragglers prefer loose clusters. Nature Communications. 14(1). 2584–2584. 14 indexed citations
10.
Reina-Campos, Marta, et al.. (2023). Galactic properties that favour star cluster formation: a statistical view. Monthly Notices of the Royal Astronomical Society. 525(2). 1902–1911. 1 indexed citations
11.
Sills, Alison, et al.. (2022). Using molecular gas observations to guide initial conditions for star cluster simulations. Monthly Notices of the Royal Astronomical Society. 519(3). 4142–4151. 1 indexed citations
12.
Weisz, Daniel R., S. E. Koposov, Andrew E. Dolphin, et al.. (2016). A HUBBLE SPACE TELESCOPE STUDY OF THE ENIGMATIC MILKY WAY HALO GLOBULAR CLUSTER CRATER*. The Astrophysical Journal. 822(1). 32–32. 31 indexed citations
13.
Webb, Jeremy J., et al.. (2015). The dynamics of multiple populations in the globular cluster NGC 6362. Monthly Notices of the Royal Astronomical Society. 454(2). 2166–2172. 19 indexed citations
14.
Webb, Jeremy J., Alison Sills, & William E. Harris. (2013). GLOBULAR CLUSTER SCALE SIZES IN GIANT GALAXIES: THE CASE OF M87 AND THE ROLE OF ORBITAL ANISOTROPY AND TIDAL FILLING. The Astrophysical Journal. 779(2). 94–94. 9 indexed citations
15.
Ferraro, F. R., B. Lanzoni, E. Dalessandro, et al.. (2012). Dynamical age differences among coeval star clusters as revealed by blue stragglers. Nature. 492(7429). 393–395. 116 indexed citations
16.
Leigh, Nathan W. C., C. Knigge, Alison Sills, et al.. (2012). The origins of blue stragglers and binarity in globular clusters. Monthly Notices of the Royal Astronomical Society. 428(1). 897–905. 32 indexed citations
17.
Vesperini, Enrico, Mirek Giersz, Alison Sills, & Douglas C. Heggie. (2008). Dynamical evolution of dense stellar systems : proceedings of the 246th symposium of the International Astronomical Union held in Capri, Italy, September 5-9, 2007. Cambridge University Press eBooks. 2 indexed citations
18.
Mashchenko, Sergey, H. M. P. Couchman, & Alison Sills. (2006). Formation of Minigalaxies in Defunct Cosmological HiiRegions. The Astrophysical Journal. 639(2). 633–643. 5 indexed citations
19.
Pinsonneault, Marc H., et al.. (2002). Cataclysmic variables: An empirical angular momentum loss prescription from open cluster data. 261. 208. 1 indexed citations
20.
Ford, Eric B., Frederic A. Rasio, & Alison Sills. (1997). Structure and Evolution of Nearby Stars with Planets. AAS. 191. 6 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.

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