S. C. Williams

943 total citations
41 papers, 255 citations indexed

About

S. C. Williams is a scholar working on Astronomy and Astrophysics, Computational Mechanics and Nuclear and High Energy Physics. According to data from OpenAlex, S. C. Williams has authored 41 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Astronomy and Astrophysics, 11 papers in Computational Mechanics and 7 papers in Nuclear and High Energy Physics. Recurrent topics in S. C. Williams's work include Astrophysical Phenomena and Observations (28 papers), Gamma-ray bursts and supernovae (26 papers) and Astronomical Observations and Instrumentation (11 papers). S. C. Williams is often cited by papers focused on Astrophysical Phenomena and Observations (28 papers), Gamma-ray bursts and supernovae (26 papers) and Astronomical Observations and Instrumentation (11 papers). S. C. Williams collaborates with scholars based in United Kingdom, United States and Spain. S. C. Williams's co-authors include M. J. Darnley, A. W. Shafter, M. Henze, M. F. Bode, Jan‐Uwe Ness, M. F. Bode, K. Hornoch, I. A. Steele, Izumi Hachisu and V. Votruba and has published in prestigious journals such as Nature, The Astrophysical Journal and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

S. C. Williams

35 papers receiving 241 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. C. Williams United Kingdom 11 246 64 39 12 12 41 255
E. Harvey United Kingdom 10 194 0.8× 46 0.7× 25 0.6× 26 2.2× 15 1.3× 21 200
I. Traulsen Germany 8 162 0.7× 52 0.8× 22 0.6× 9 0.8× 13 1.1× 17 171
Ashley Pagnotta United States 9 342 1.4× 95 1.5× 43 1.1× 15 1.3× 18 1.5× 19 345
S. Kiyota Japan 10 355 1.4× 62 1.0× 35 0.9× 13 1.1× 32 2.7× 27 357
T. Bohlsen Australia 7 136 0.6× 34 0.5× 15 0.4× 24 2.0× 12 1.0× 18 145
E. A. Barsukova Russia 9 222 0.9× 33 0.5× 25 0.6× 29 2.4× 15 1.3× 43 229
A. Domingo Spain 6 238 1.0× 68 1.1× 15 0.4× 35 2.9× 15 1.3× 35 244
Э. Сонбас Türkiye 8 209 0.8× 78 1.2× 7 0.2× 11 0.9× 9 0.8× 34 216
J. Echevarría Mexico 8 165 0.7× 30 0.5× 17 0.4× 9 0.8× 13 1.1× 33 175
J. Kurpas Germany 7 105 0.4× 31 0.5× 18 0.5× 10 0.8× 9 0.8× 10 109

Countries citing papers authored by S. C. Williams

Since Specialization
Citations

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

Fields of papers citing papers by S. C. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. C. Williams. 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. C. Williams. The network helps show where S. C. Williams may publish in the future.

Co-authorship network of co-authors of S. C. Williams

This figure shows the co-authorship network connecting the top 25 collaborators of S. C. Williams. A scholar is included among the top collaborators of S. C. Williams 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. C. Williams. S. C. Williams 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.
Loizidou, Marilena, Jelena Trajković, Stefanie Desmet, et al.. (2025). Cognitive and Psychological Symptoms in Post-COVID-19 Condition: A Systematic Review of Structural and Functional Neuroimaging, Neurophysiology, and Intervention Studies. Archives of Rehabilitation Research and Clinical Translation. 7(3). 100461–100461.
2.
Williams, S. C., R. Kotak, Peter Lundqvist, et al.. (2024). Observations of type Ia supernova SN 2020nlb up to 600 days after explosion, and the distance to M85. Astronomy and Astrophysics. 685. A135–A135. 1 indexed citations
3.
Hook, I., S. C. Williams, Anne Fritz, et al.. (2023). Using 4MOST to refine the measurement of galaxy properties: a case study of supernova hosts. Research Portal (Queen's University Belfast). 2(1). 453–469. 1 indexed citations
4.
Harvey, E., M. P. Redman, P. Boumis, et al.. (2020). Two new nova shells associated with V4362 Sagittarii and DO Aquilae. Monthly Notices of the Royal Astronomical Society. 499(2). 2959–2976. 11 indexed citations
5.
Harvey, E., M. P. Redman, M. J. Darnley, et al.. (2018). Polarimetry and spectroscopy of the “oxygen flaring” DQ Herculis-like nova: V5668 Sagittarii (2015). Springer Link (Chiba Institute of Technology). 14 indexed citations
6.
Williams, S. C. & M. J. Darnley. (2017). Liverpool Telescope Spectroscopy of ASASSN-17hx. ATel. 10542. 1. 1 indexed citations
7.
Williams, S. C. & M. J. Darnley. (2017). Spectroscopy of AT 2017gay, another outburst of PT And/M31N 1957-10b. The astronomer's telegram. 10647. 1. 1 indexed citations
8.
Williams, S. C. & M. J. Darnley. (2017). Spectroscopic classification AT 2017jdm as a nova, and likely recurrent eruption of M31N 2007-10b. ATel. 11088. 1. 1 indexed citations
9.
Henze, M., S. C. Williams, M. J. Darnley, et al.. (2016). Confirmation of PNV J00430400+4117079 as another eruption of the recurrent nova M31N 1990-10a and additional constraints on the eruption date. ATel. 9276. 1. 1 indexed citations
10.
Page, K. L., et al.. (2016). Swift detection of a rapidly brightening soft X-ray spectrum from Nova SMC 2016. ATel. 9733. 1. 1 indexed citations
11.
Gao, Xing, M. J. Darnley, M. Henze, et al.. (2016). Recurrent Nova M31N 2008-12a: discovery and constraints of the 2016 eruption. ATel. 9848. 1. 2 indexed citations
12.
Kuin, N. P. M., K. L. Page, S. C. Williams, et al.. (2016). Swift UVOT observations of the SMC nova MASTER OT J010603.18-744715.8. ATel. 9635. 1. 1 indexed citations
13.
Darnley, M. J., N. P. M. Kuin, K. L. Page, et al.. (2016). Swift observations of the early development of the 2016 eruption of the recurrent nova LMCN 1968-12a (OGLE-2016-NOVA-01). ATel. 8587. 1. 3 indexed citations
14.
Page, K. L., J. P. Osborne, M. J. Darnley, et al.. (2016). Super-soft X-ray emission on day 6.4 from nova LMC N1968-12a strongly suggests a very high mass white dwarf. ATel. 8615. 1. 1 indexed citations
15.
Williams, S. C., M. J. Darnley, & M. F. Bode. (2015). Spectroscopic Observation of PNV J18365700-2855420 with the Liverpool Telescope. ATel. 7230. 1.
16.
Darnley, M. J., I. A. Steele, Rowan J. Smith, et al.. (2014). Recurrent Nova M31N 2008-12a: Liverpool Telescope SPRAT Spectrum. ATel. 6540. 1. 1 indexed citations
17.
Henze, M., Jan‐Uwe Ness, M. J. Darnley, et al.. (2014). Recurrent nova M31N 2008-12a: Swift XRT spectrum confirms supersoft X-ray emission. ATel. 6565. 1. 1 indexed citations
18.
Williams, S. C., M. F. Bode, M. J. Darnley, et al.. (2013). Rapid dust formation in novae : the speed-class formation timescale correlation eplained. Lancaster EPrints (Lancaster University). 5 indexed citations
19.
Henze, M., Jan‐Uwe Ness, M. F. Bode, M. J. Darnley, & S. C. Williams. (2013). A Candidate Recurrent Nova in M31: A fast supersoft X-ray counterpart found with Swift XRT. ATel. 5627. 1. 2 indexed citations
20.
Williams, S. C., M. J. Darnley, M. F. Bode, & A. W. Shafter. (2013). A Candidate Recurrent Nova in M31: The Progenitor System?. ATel. 5611. 1. 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.

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