Tyrone E. Woods

1.7k total citations
40 papers, 963 citations indexed

About

Tyrone E. Woods is a scholar working on Astronomy and Astrophysics, Instrumentation and Nuclear and High Energy Physics. According to data from OpenAlex, Tyrone E. Woods has authored 40 papers receiving a total of 963 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Astronomy and Astrophysics, 9 papers in Instrumentation and 6 papers in Nuclear and High Energy Physics. Recurrent topics in Tyrone E. Woods's work include Gamma-ray bursts and supernovae (23 papers), Stellar, planetary, and galactic studies (22 papers) and Astrophysical Phenomena and Observations (21 papers). Tyrone E. Woods is often cited by papers focused on Gamma-ray bursts and supernovae (23 papers), Stellar, planetary, and galactic studies (22 papers) and Astrophysical Phenomena and Observations (21 papers). Tyrone E. Woods collaborates with scholars based in Germany, Canada and Australia. Tyrone E. Woods's co-authors include Daniel J. Whalen, Alexander Heger, L. Haemmerlé, M. Gilfanov, Ralf S. Klessen, Natalia Ivanova, Zhanwen Han, L. R. Yungelson, Sadegh Khochfar and Muhammad Latif and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and The Astrophysical Journal.

In The Last Decade

Tyrone E. Woods

38 papers receiving 863 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tyrone E. Woods Germany 20 927 193 145 23 21 40 963
S. Zoła Poland 16 746 0.8× 176 0.9× 180 1.2× 43 1.9× 21 1.0× 64 758
Alessandro Ballone Italy 15 718 0.8× 63 0.3× 85 0.6× 9 0.4× 28 1.3× 29 734
L. Izzo Italy 14 604 0.7× 80 0.4× 173 1.2× 11 0.5× 14 0.7× 92 623
A. Gomboc Slovenia 15 568 0.6× 66 0.3× 170 1.2× 17 0.7× 14 0.7× 60 578
S. M. Caballero‐Nieves United States 10 512 0.6× 161 0.8× 78 0.5× 25 1.1× 20 1.0× 19 524
Gen Chiaki Japan 14 815 0.9× 178 0.9× 98 0.7× 25 1.1× 25 1.2× 28 843
K. Z. Stanek United States 10 516 0.6× 111 0.6× 107 0.7× 11 0.5× 7 0.3× 25 530
Francesca Valsecchi United States 8 644 0.7× 73 0.4× 70 0.5× 5 0.2× 18 0.9× 11 653
E. Fernández Lajús Argentina 15 624 0.7× 141 0.7× 49 0.3× 55 2.4× 10 0.5× 62 639
Di-Fu Guo China 13 449 0.5× 104 0.5× 73 0.5× 38 1.7× 12 0.6× 42 473

Countries citing papers authored by Tyrone E. Woods

Since Specialization
Citations

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

Fields of papers citing papers by Tyrone E. Woods

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tyrone E. Woods. 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 Tyrone E. Woods. The network helps show where Tyrone E. Woods may publish in the future.

Co-authorship network of co-authors of Tyrone E. Woods

This figure shows the co-authorship network connecting the top 25 collaborators of Tyrone E. Woods. A scholar is included among the top collaborators of Tyrone E. Woods 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 Tyrone E. Woods. Tyrone E. Woods 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.
Marshall, Madeline A., Tyrone E. Woods, P. Côté, et al.. (2025). FORECASTOR – II. Simulating galaxy surveys with the Cosmological Advanced Survey Telescope for Optical and UV Research. Monthly Notices of the Royal Astronomical Society. 537(2). 1703–1719.
2.
Woods, Tyrone E., et al.. (2024). Probing the Diversity of Type Ia Supernova Light Curves in the Open Supernova Catalog. The Astrophysical Journal. 964(2). 193–193. 1 indexed citations
3.
Whalen, Daniel J., et al.. (2023). Modelling supermassive primordial stars with mesa. Monthly Notices of the Royal Astronomical Society. 521(1). 463–473. 27 indexed citations
4.
Chen, Ke-Jung, et al.. (2023). The Evolution of Population III and Extremely Metal-poor Binary Stars. The Astrophysical Journal. 951(2). 84–84. 8 indexed citations
5.
Blouin, Simon, et al.. (2023). 3D hydrodynamics simulations of core convection in supermassive main-sequence stars. Monthly Notices of the Royal Astronomical Society. 521(3). 4605–4613. 3 indexed citations
6.
Regan, John A., et al.. (2023). Critical accretion rates for rapidly growing massive Population III stars. Astronomy and Astrophysics. 677. A155–A155. 16 indexed citations
7.
Latif, Muhammad, et al.. (2022). Turbulent cold flows gave birth to the first quasars. Nature. 607(7917). 48–51. 69 indexed citations
8.
Perets, Hagai B., et al.. (2021). Probing supermassive stars and massive black hole seeds through gravitational wave inspirals. Monthly Notices of the Royal Astronomical Society. 505(3). 3944–3949. 2 indexed citations
9.
Woods, Tyrone E., Chris J. Willott, John A. Regan, et al.. (2021). Some First Stars Were Red: Detecting Signatures of Massive Population III Formation through Long-term Stochastic Color Variations. The Astrophysical Journal Letters. 920(1). L22–L22. 8 indexed citations
10.
Clocchiatti, A., et al.. (2020). Supersoft X-ray nebulae in the Large Magellanic Cloud. Monthly Notices of the Royal Astronomical Society. 497(3). 3234–3250. 3 indexed citations
11.
Regan, John A., et al.. (2020). The Formation of Very Massive Stars in Early Galaxies and Implications for Intermediate Mass Black Holes. SHILAP Revista de lepidopterología. 3(1). 35 indexed citations
12.
Chen, Hailiang, Tyrone E. Woods, L. R. Yungelson, et al.. (2019). Comprehensive models of novae at metallicity Z = 0.02 and Z = 10−4. Monthly Notices of the Royal Astronomical Society. 490(2). 1678–1692. 30 indexed citations
13.
Graur, Or & Tyrone E. Woods. (2019). Progenitor constraints on the Type Ia supernova SN 2014J from Hubble Space Telescope H β and [O  iii] observations. Monthly Notices of the Royal Astronomical Society Letters. 484(1). L79–L84. 9 indexed citations
14.
Haemmerlé, L., G. Meynet, Lucio Mayer, et al.. (2019). Maximally accreting supermassive stars: a fundamental limit imposed by hydrostatic equilibrium. Springer Link (Chiba Institute of Technology). 23 indexed citations
15.
Haemmerlé, L., Tyrone E. Woods, Ralf S. Klessen, Alexander Heger, & Daniel J. Whalen. (2018). On the Rotation of Supermassive Stars. The Astrophysical Journal Letters. 853(1). L3–L3. 40 indexed citations
16.
Woods, Tyrone E. & M. Gilfanov. (2015). Where are all of the nebulae ionized by supersoft X-ray sources?. Monthly Notices of the Royal Astronomical Society. 455(2). 1770–1781. 15 indexed citations
17.
Woods, Tyrone E., et al.. (2015). Population synthesis of accreting white dwarfs – II. X-ray and UV emission. Monthly Notices of the Royal Astronomical Society. 453(3). 3025–3035. 27 indexed citations
18.
Woods, Tyrone E., et al.. (2014). Next generation population synthesis of accreting white dwarfs – I. Hybrid calculations using bse + mesa. Monthly Notices of the Royal Astronomical Society. 445(2). 1912–1923. 24 indexed citations
19.
Woods, Tyrone E. & M. Gilfanov. (2014). Emission-line diagnostics to constrain high-temperature populations in early-type galaxies. Monthly Notices of the Royal Astronomical Society. 439(3). 2351–2363. 17 indexed citations
20.
Woods, Tyrone E. & M. Gilfanov. (2013). He ii recombination lines as a test of the nature of SN Ia progenitors in elliptical galaxies. Monthly Notices of the Royal Astronomical Society. 432(2). 1640–1650. 34 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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