P. J. McMillan

40.4k total citations · 3 hit papers
47 papers, 3.0k citations indexed

About

P. J. McMillan is a scholar working on Astronomy and Astrophysics, Instrumentation and Statistical and Nonlinear Physics. According to data from OpenAlex, P. J. McMillan has authored 47 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Astronomy and Astrophysics, 27 papers in Instrumentation and 6 papers in Statistical and Nonlinear Physics. Recurrent topics in P. J. McMillan's work include Stellar, planetary, and galactic studies (37 papers), Astronomy and Astrophysical Research (27 papers) and Astrophysics and Star Formation Studies (23 papers). P. J. McMillan is often cited by papers focused on Stellar, planetary, and galactic studies (37 papers), Astronomy and Astrophysical Research (27 papers) and Astrophysics and Star Formation Studies (23 papers). P. J. McMillan collaborates with scholars based in Sweden, United Kingdom and Germany. P. J. McMillan's co-authors include James Binney, Ralph Schönrich, Walter Dehnen, D. Hobbs, M. Ramos-Lerate, U. Bastian, L. Lindegren, S. A. Klioner, E. Gerlach and J. Hernández and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Earth and Planetary Science Letters and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

P. J. McMillan

44 papers receiving 2.7k citations

Hit Papers

The mass distribution and... 2011 2026 2016 2021 2016 2020 2011 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. J. McMillan Sweden 24 2.8k 1.2k 360 118 106 47 3.0k
Ralph Schönrich United Kingdom 30 4.4k 1.6× 1.9k 1.7× 263 0.7× 123 1.0× 134 1.3× 52 4.5k
Anne Thoul Belgium 17 3.6k 1.3× 1.1k 0.9× 318 0.9× 58 0.5× 144 1.4× 36 3.7k
Kareem El-Badry United States 37 3.8k 1.4× 1.7k 1.5× 470 1.3× 78 0.7× 135 1.3× 122 4.0k
M. Marconi Italy 36 4.3k 1.5× 2.1k 1.8× 377 1.0× 46 0.4× 175 1.7× 228 4.5k
R. G. Izzard United Kingdom 34 4.8k 1.7× 1.4k 1.2× 505 1.4× 36 0.3× 138 1.3× 99 5.0k
Jarrod R. Hurley Australia 37 5.7k 2.0× 1.7k 1.5× 269 0.7× 62 0.5× 72 0.7× 92 5.8k
J. H. J. de Bruijne Netherlands 21 2.9k 1.0× 953 0.8× 170 0.5× 52 0.4× 147 1.4× 52 3.0k
P. E. Nissen Denmark 38 3.7k 1.3× 1.5k 1.3× 481 1.3× 55 0.5× 116 1.1× 106 3.9k
J. Montalbán Belgium 37 3.9k 1.4× 2.1k 1.8× 162 0.5× 33 0.3× 166 1.6× 114 4.1k
Jason W. Ferguson United States 23 4.4k 1.6× 1.3k 1.2× 504 1.4× 61 0.5× 91 0.9× 45 4.7k

Countries citing papers authored by P. J. McMillan

Since Specialization
Citations

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

Fields of papers citing papers by P. J. McMillan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. J. McMillan

This figure shows the co-authorship network connecting the top 25 collaborators of P. J. McMillan. A scholar is included among the top collaborators of P. J. McMillan 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 P. J. McMillan. P. J. McMillan 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.
Jiménez-Arranz, Ó., S. Roca-Fàbrega, M. Romero-Gómez, et al.. (2024). KRATOS: A large suite of N-body simulations to interpret the stellar kinematics of LMC-like discs. Astronomy and Astrophysics. 688. A51–A51. 15 indexed citations
2.
Schultheis, M., Mattia C. Sormani, Francesca Fragkoudi, et al.. (2024). Orbital analysis of stars in the nuclear stellar disc of the Milky Way. Astronomy and Astrophysics. 685. A93–A93. 6 indexed citations
3.
Jiménez-Arranz, Ó., L. Chemin, M. Romero-Gómez, et al.. (2024). The bar pattern speed of the Large Magellanic Cloud. Astronomy and Astrophysics. 683. A102–A102. 12 indexed citations
4.
Palicio, P. A., A. Recio–Blanco, E. Poggio, et al.. (2023). Spiral-like features in the disc revealed by Gaia DR3 radial actions. Astronomy and Astrophysics. 670. L7–L7. 19 indexed citations
5.
Vaher, Eero, D. Hobbs, P. J. McMillan, & T. Prusti. (2023). Finding the dispersing siblings of young open clusters. Astronomy and Astrophysics. 679. A105–A105. 3 indexed citations
6.
Ripepi, V., L. Chemin, R. Molinaro, et al.. (2022). The VMC survey – XLVIII. Classical cepheids unveil the 3D geometry of the LMC. Monthly Notices of the Royal Astronomical Society. 512(1). 563–582. 28 indexed citations
7.
Jiménez-Arranz, Ó., M. Romero-Gómez, X. Luri, et al.. (2022). Kinematic analysis of the Large Magellanic Cloud using Gaia DR3. Astronomy and Astrophysics. 669. A91–A91. 20 indexed citations
8.
McMillan, P. J., et al.. (2022). The velocity distribution of white dwarfs in Gaia EDR3. Monthly Notices of the Royal Astronomical Society. 512(4). 6201–6216. 6 indexed citations
9.
Helmi, A., F. van Leeuwen, P. J. McMillan, et al.. (2021). Gaia Data Release 2. Kinematics of globular clusters and dwarf galaxies around the Milky Way. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas).
10.
Carrillo, I., Ivan Minchev, Matthias Steinmetz, et al.. (2019). Kinematics with Gaia DR2: the force of a dwarf. Monthly Notices of the Royal Astronomical Society. 490(1). 797–812. 31 indexed citations
11.
McMillan, P. J., G. Kordopatis, Andrea Kunder, et al.. (2017). Improved distances to stars common to TGAS and RAVE. arXiv (Cornell University). 1 indexed citations
12.
McMillan, P. J.. (2016). GalPot: Galaxy potential code. ascl. 3 indexed citations
13.
Wojno, Jennifer, G. Kordopatis, Matthias Steinmetz, et al.. (2016). Chemical separation of disc components using RAVE. Monthly Notices of the Royal Astronomical Society. 461(4). 4246–4255. 30 indexed citations
14.
McMillan, P. J.. (2016). The mass distribution and gravitational potential of the Milky Way. Monthly Notices of the Royal Astronomical Society. 465(1). 76–94. 665 indexed citations breakdown →
15.
Wojno, Jennifer, G. Kordopatis, Matthias Steinmetz, G. Matijevič, & P. J. McMillan. (2015). Age-metallicity-velocity relation of stars as seen by RAVE. Proceedings of the International Astronomical Union. 11(S317). 367–368. 1 indexed citations
16.
Binney, James, B. Burnett, P. J. McMillan, et al.. (2013). New distances to RAVE stars. Monthly Notices of the Royal Astronomical Society. 437(1). 351–370. 52 indexed citations
17.
Gilmore, G., R. F. G. Wyse, Matthias Steinmetz, et al.. (2013). In the thick of it: metal-poor disc stars in RAVE. Monthly Notices of the Royal Astronomical Society. 436(4). 3231–3246. 44 indexed citations
18.
McMillan, P. J.. (2013). Extending the Hyades. Monthly Notices of the Royal Astronomical Society. 430(4). 3276–3284. 21 indexed citations
19.
McMillan, P. J.. (2011). Mass models of the Milky Way. Monthly Notices of the Royal Astronomical Society. 414(3). 2446–2457. 508 indexed citations breakdown →
20.
Bernard, J.-P., É. Quirico, Olivier Brissaud, et al.. (2006). Reflectance spectra and chemical structure of Titan's tholins: Application to the analysis of Cassini–Huygens observations. Icarus. 185(1). 301–307. 67 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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