Tom Wagg

623 total citations · 1 hit paper
15 papers, 288 citations indexed

About

Tom Wagg is a scholar working on Astronomy and Astrophysics, Instrumentation and Nuclear and High Energy Physics. According to data from OpenAlex, Tom Wagg has authored 15 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Astronomy and Astrophysics, 5 papers in Instrumentation and 3 papers in Nuclear and High Energy Physics. Recurrent topics in Tom Wagg's work include Gamma-ray bursts and supernovae (9 papers), Stellar, planetary, and galactic studies (8 papers) and Pulsars and Gravitational Waves Research (5 papers). Tom Wagg is often cited by papers focused on Gamma-ray bursts and supernovae (9 papers), Stellar, planetary, and galactic studies (8 papers) and Pulsars and Gravitational Waves Research (5 papers). Tom Wagg collaborates with scholars based in United States, Germany and Netherlands. Tom Wagg's co-authors include S. E. de Mink, L. A. C. van Son, Stephen Justham, Floor S. Broekgaarden, Mathieu Renzo, Ilya Mandel, Katelyn Breivik, Rüdiger Pakmor, T. A. Callister and Neige Frankel and has published in prestigious journals such as Physical Review Letters, The Astrophysical Journal and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

Tom Wagg

12 papers receiving 225 citations

Hit Papers

align trajectories

What are hit papers?

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.

The Redshift Evolution of the Binary Black Hole Merger Rate: A Weighty Matter

2022 115 citations L. A. C. van Son, S. E. de Mink et al. The Astrophysical Journal profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tom Wagg United States	7	273	45	41	12	10	15	288
H. F. Stevance United Kingdom	12	385 1.4×	57 1.3×	65 1.6×	6 0.5×	6 0.6×	29	405
G. Dálya Hungary	6	199 0.7×	24 0.5×	57 1.4×	18 1.5×	11 1.1×	15	213
Jason T. Hinkle United States	10	170 0.6×	32 0.7×	45 1.1×	4 0.3×	7 0.7×	22	185
L. Errico Italy	10	252 0.9×	31 0.7×	17 0.4×	9 0.8×	11 1.1×	37	267
Nathaniel Roth United States	7	277 1.0×	19 0.4×	89 2.2×	12 1.0×	9 0.9×	11	306
Ciprian T. Berghea United States	9	226 0.8×	32 0.7×	41 1.0×	11 0.9×	14 1.4×	17	237
Jamie A. P. Law-Smith United States	8	236 0.9×	27 0.6×	66 1.6×	5 0.4×	12 1.2×	11	260
D. A. Coulter United States	11	344 1.3×	36 0.8×	117 2.9×	12 1.0×	13 1.3×	20	360
D. Godoy-Rivera United States	10	339 1.2×	106 2.4×	47 1.1×	5 0.4×	7 0.7×	22	348
Elia Pizzati Netherlands	9	184 0.7×	65 1.4×	11 0.3×	10 0.8×	6 0.6×	10	200

Countries citing papers authored by Tom Wagg

Since Specialization

Citations

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

Fields of papers citing papers by Tom Wagg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tom Wagg

This figure shows the co-authorship network connecting the top 25 collaborators of Tom Wagg. A scholar is included among the top collaborators of Tom Wagg 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 Tom Wagg. Tom Wagg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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15 of 15 papers shown

Wagg, Tom, Katelyn Breivik, Mathieu Renzo, & Adrian M. Price-Whelan. (2025). cogsworth: A Gala of COSMIC proportions combining binary stellar evolution and galactic dynamics. The Journal of Open Source Software. 10(105). 7400–7400. 3 indexed citations

Wagg, Tom, Katelyn Breivik, Mathieu Renzo, & Adrian M. Price-Whelan. (2025). cogsworth: A Gala of COSMIC Proportions Combining Binary Stellar Evolution and Galactic Dynamics. The Astrophysical Journal Supplement Series. 276(1). 16–16. 5 indexed citations

Wagg, Tom, Julianne J. Dalcanton, Mathieu Renzo, et al.. (2025). Delayed and Displaced: The Impact of Binary Interactions on Core-collapse SN Feedback. The Astronomical Journal. 170(3). 192–192. 1 indexed citations

Wagg, Tom, et al.. (2025). Expected Impact of Rubin Observatory LSST on NEO Follow-up. The Astronomical Journal. 169(6). 315–315.

Wagg, Tom, Adrian M. Price-Whelan, Mathieu Renzo, & Katelyn Breivik. (2025). Stellar ejection velocities from the binary supernova scenario: A comparison across population synthesis codes. The Open Journal of Astrophysics. 8. 1 indexed citations

Vigna-Gómez, Alejandro, Irene Tamborra, Ilya Mandel, et al.. (2024). Constraints on Neutrino Natal Kicks from Black-Hole Binary VFTS 243. Physical Review Letters. 132(19). 191403–191403. 25 indexed citations

Davenport, James R. A., et al.. (2024). Searching for Stellar Activity Cycles Using Flares: The Short- and Long-timescale Activity Variations of TIC-272272592. The Astronomical Journal. 168(6). 232–232. 2 indexed citations

Zasowski, Gail, Joshua Pepper, Tom Wagg, et al.. (2023). Catalog of Integrated-light Star Cluster Light Curves in TESS. The Astronomical Journal. 166(3). 106–106. 1 indexed citations

Wagg, Tom, et al.. (2023). ELK: A python package for correcting, analyzing, anddiagnosing TESS integrated light curves. The Journal of Open Source Software. 8(90). 5605–5605.

10.

Son, L. A. C. van, S. E. de Mink, T. A. Callister, et al.. (2022). The Redshift Evolution of the Binary Black Hole Merger Rate: A Weighty Matter. The Astrophysical Journal. 931(1). 17–17. 115 indexed citations breakdown →

11.

Wagg, Tom, Katelyn Breivik, & S. E. de Mink. (2022). LEGWORK: A python package for computing the evolution and detectability of stellar-origin gravitational-wave sources with space-based detectors. The Journal of Open Source Software. 7(70). 3998–3998. 15 indexed citations

12.

Wagg, Tom, Katelyn Breivik, & S. E. de Mink. (2022). LEGWORK: A Python Package for Computing the Evolution and Detectability of Stellar-origin Gravitational-wave Sources with Space-based Detectors. The Astrophysical Journal Supplement Series. 260(2). 52–52. 21 indexed citations

13.

Wagg, Tom, Floor S. Broekgaarden, S. E. de Mink, et al.. (2022). Gravitational Wave Sources in Our Galactic Backyard: Predictions for BHBH, BHNS, and NSNS Binaries Detectable with LISA. The Astrophysical Journal. 937(2). 118–118. 40 indexed citations

14.

Maxted, P. F. L., D. R. Anderson, A. Collier Cameron, et al.. (2016). Five transiting hot Jupiters discovered using WASP-South,Euler, and TRAPPIST: WASP-119 b, WASP-124 b, WASP-126 b, WASP-129 b, and WASP-133 b. Astronomy and Astrophysics. 591. A55–A55. 19 indexed citations

15.

Hellier, C., D. R. Anderson, A. Collier Cameron, et al.. (2016). WASP-South transiting exoplanets: WASP-130b, WASP-131b, WASP-132b, WASP-139b, WASP-140b, WASP-141b and WASP-142b. Monthly Notices of the Royal Astronomical Society. 465(3). 3693–3707. 40 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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