Jeremy J. Webb

1.1k total citations
54 papers, 852 citations indexed

About

Jeremy J. Webb is a scholar working on Astronomy and Astrophysics, Instrumentation and Spectroscopy. According to data from OpenAlex, Jeremy J. Webb has authored 54 papers receiving a total of 852 indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Astronomy and Astrophysics, 22 papers in Instrumentation and 2 papers in Spectroscopy. Recurrent topics in Jeremy J. Webb's work include Stellar, planetary, and galactic studies (50 papers), Astrophysics and Star Formation Studies (32 papers) and Astronomy and Astrophysical Research (22 papers). Jeremy J. Webb is often cited by papers focused on Stellar, planetary, and galactic studies (50 papers), Astrophysics and Star Formation Studies (32 papers) and Astronomy and Astrophysical Research (22 papers). Jeremy J. Webb collaborates with scholars based in Canada, United States and Chile. Jeremy J. Webb's co-authors include Alison Sills, Nathan W. C. Leigh, Jo Bovy, Enrico Vesperini, William E. Harris, R. G. Carlberg, Jarrod R. Hurley, E. Dalessandro, Jongsuk Hong and Pavel Kroupa and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and Astronomy and Astrophysics.

In The Last Decade

Jeremy J. Webb

52 papers receiving 794 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeremy J. Webb Canada 20 790 327 42 33 19 54 852
M. Langer France 13 380 0.5× 66 0.2× 169 5.1× 4 0.2× 28 407
Mojegan Azadi United States 16 739 0.9× 324 1.0× 70 2.1× 27 763
C. M. Boily France 14 912 1.2× 317 1.0× 104 3.2× 1 0.1× 27 936
Julio Chanamé Chile 15 658 0.8× 301 0.9× 43 1.3× 37 670
J. Koppenhoefer Germany 12 419 0.5× 172 0.5× 37 1.1× 29 425
Wolfgang Kerzendorf Germany 19 933 1.2× 148 0.5× 1 0.0× 232 7.0× 2 0.1× 56 972
J. De Ridder Belgium 13 749 0.9× 434 1.3× 8 0.2× 18 813
P. M. Knezek United States 12 722 0.9× 215 0.7× 60 1.8× 28 748
Phil Cigan United States 13 692 0.9× 170 0.5× 149 4.5× 30 712
K. Geréb Australia 10 449 0.6× 166 0.5× 113 3.4× 12 468

Countries citing papers authored by Jeremy J. Webb

Since Specialization
Citations

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

Fields of papers citing papers by Jeremy J. Webb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeremy J. Webb. 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 Jeremy J. Webb. The network helps show where Jeremy J. Webb may publish in the future.

Co-authorship network of co-authors of Jeremy J. Webb

This figure shows the co-authorship network connecting the top 25 collaborators of Jeremy J. Webb. A scholar is included among the top collaborators of Jeremy J. Webb 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 Jeremy J. Webb. Jeremy J. Webb 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.
Leigh, Nathan W. C., J. V. Da Fonseca Pinto, Jeremy J. Webb, et al.. (2025). A systematic method to identify runaways from star clusters produced from single-binary interactions. Astronomy and Astrophysics. 697. A183–A183.
2.
Bovy, Jo, et al.. (2025). Stream Members Only: Data-driven Characterization of Stellar Streams with Mixture Density Networks. The Astrophysical Journal. 980(2). 253–253. 2 indexed citations
3.
Grulke, N. E., et al.. (2024). Assessing Tree Water Balance after Forest Thinning Treatments Using Thermal and Multispectral Imaging. Remote Sensing. 16(6). 1005–1005. 1 indexed citations
4.
Bovy, Jo, et al.. (2023). On the fast track: Rapid construction of stellar stream paths. Monthly Notices of the Royal Astronomical Society. 522(4). 5022–5036. 2 indexed citations
5.
Webb, Jeremy J., John Douglas Hunt, & Jo Bovy. (2023). Made-to-measure modelling of globular clusters. Monthly Notices of the Royal Astronomical Society. 521(3). 3898–3908. 2 indexed citations
6.
Webb, Jeremy J.. (2023). clustertools: A Python Package for Analyzing StarCluster Simulations. The Journal of Open Source Software. 8(85). 4483–4483. 1 indexed citations
7.
Speagle, Joshua S., et al.. (2023). Hierarchical Bayesian inference of globular cluster properties. Monthly Notices of the Royal Astronomical Society. 527(2). 4193–4208. 2 indexed citations
8.
Leigh, Nathan W. C., et al.. (2023). The dominant mechanism(s) for populating the outskirts of star clusters with neutron star binaries. Monthly Notices of the Royal Astronomical Society. 527(3). 6913–6925. 3 indexed citations
9.
Webb, Jeremy J. & Jo Bovy. (2021). Variation in the stellar mass function along stellar streams. Monthly Notices of the Royal Astronomical Society. 510(1). 774–785. 6 indexed citations
10.
Webb, Jeremy J. & Jo Bovy. (2020). High-resolution simulations of dark matter subhalo disruption in a Milky-Way-like tidal field. Monthly Notices of the Royal Astronomical Society. 499(1). 116–128. 23 indexed citations
11.
Webb, Jeremy J., Natalie Price-Jones, Jo Bovy, et al.. (2020). Searching for solar siblings in APOGEE and Gaia DR2 with N-body simulations. Monthly Notices of the Royal Astronomical Society. 494(2). 2268–2279. 7 indexed citations
12.
Bovy, Jo, et al.. (2020). An extended Pal 5 stream in Gaia DR2. Monthly Notices of the Royal Astronomical Society. 493(4). 4978–4986. 26 indexed citations
13.
Webb, Jeremy J., et al.. (2020). The effects of dwarf galaxies on the orbital evolution of galactic globular clusters. Monthly Notices of the Royal Astronomical Society. 499(1). 804–813. 15 indexed citations
14.
Price-Jones, Natalie, Jo Bovy, Jeremy J. Webb, et al.. (2020). Strong chemical tagging with APOGEE: 21 candidate star clusters that have dissolved across the Milky Way disc. Monthly Notices of the Royal Astronomical Society. 496(4). 5101–5115. 27 indexed citations
15.
Webb, Jeremy J. & Jo Bovy. (2019). Searching for the GD-1 stream progenitor inGaiaDR2 with directN-body simulations. Monthly Notices of the Royal Astronomical Society. 485(4). 5929–5938. 30 indexed citations
16.
Webb, Jeremy J., et al.. (2019). The orbital anisotropy profiles of nearby globular clusters from Gaia Data Release 2. Monthly Notices of the Royal Astronomical Society. 487(3). 3693–3701. 25 indexed citations
17.
Hong, Jongsuk, et al.. (2018). Spatial mixing of binary stars in multiple-population globular clusters. Monthly Notices of the Royal Astronomical Society. 483(2). 2592–2599. 14 indexed citations
18.
Webb, Jeremy J., et al.. (2017). The early evolution of star clusters in compressive and extensive tidal fields. Monthly Notices of the Royal Astronomical Society Letters. 468(1). L92–L96. 8 indexed citations
19.
Webb, Jeremy J. & Nathan W. C. Leigh. (2015). Back to the future: estimating initial globular cluster masses from their present-day stellar mass functions. Monthly Notices of the Royal Astronomical Society. 453(3). 3279–3288. 67 indexed citations
20.
Leigh, Nathan W. C., Mirek Giersz, Michael Marks, et al.. (2014). The state of globular clusters at birth – II. Primordial binaries. Monthly Notices of the Royal Astronomical Society. 446(1). 226–239. 46 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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