Eugene Vasiliev

3.7k total citations · 5 hit papers
51 papers, 2.5k citations indexed

About

Eugene Vasiliev is a scholar working on Astronomy and Astrophysics, Instrumentation and Oceanography. According to data from OpenAlex, Eugene Vasiliev has authored 51 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Astronomy and Astrophysics, 18 papers in Instrumentation and 4 papers in Oceanography. Recurrent topics in Eugene Vasiliev's work include Galaxies: Formation, Evolution, Phenomena (31 papers), Stellar, planetary, and galactic studies (28 papers) and Astronomy and Astrophysical Research (18 papers). Eugene Vasiliev is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (31 papers), Stellar, planetary, and galactic studies (28 papers) and Astronomy and Astrophysical Research (18 papers). Eugene Vasiliev collaborates with scholars based in United Kingdom, Russia and United States. Eugene Vasiliev's co-authors include Holger Baumgardt, Vasily Belokurov, N. W. Evans, Denis Erkal, GyuChul Myeong, Giuliano Iorio, David Merritt, James Binney, E. Athanassoula and Aleksey Generozov 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

Eugene Vasiliev

49 papers receiving 2.1k citations

Hit Papers

AGAMA: action-based galaxy modelling architecture 2018 2026 2020 2023 2018 2021 2019 2021 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eugene Vasiliev United Kingdom 24 2.3k 1.1k 190 103 82 51 2.5k
Adrian M. Price-Whelan United States 28 2.3k 1.0× 987 0.9× 216 1.1× 74 0.7× 83 1.0× 90 2.5k
Jason L. Sanders United Kingdom 28 2.3k 1.0× 1.1k 1.0× 280 1.5× 122 1.2× 71 0.9× 79 2.5k
Alis J. Deason United Kingdom 32 3.5k 1.5× 1.8k 1.7× 295 1.6× 85 0.8× 86 1.0× 66 3.7k
C. Babusiaux France 20 2.3k 1.0× 1.1k 1.0× 143 0.8× 44 0.4× 110 1.3× 39 2.4k
J. H. J. de Bruijne Netherlands 21 2.9k 1.3× 953 0.9× 170 0.9× 52 0.5× 147 1.8× 52 3.0k
Melissa Ness United States 25 2.4k 1.0× 1.2k 1.2× 126 0.7× 48 0.5× 98 1.2× 95 2.5k
Richard R. Lane Chile 28 2.2k 1.0× 1.2k 1.2× 121 0.6× 56 0.5× 79 1.0× 103 2.3k
Denis Erkal United Kingdom 38 3.6k 1.6× 1.6k 1.5× 451 2.4× 140 1.4× 120 1.5× 82 3.8k
C. Jordi Spain 31 3.4k 1.4× 1.9k 1.8× 98 0.5× 60 0.6× 192 2.3× 112 3.6k
Giuliano Iorio Italy 23 2.1k 0.9× 764 0.7× 209 1.1× 38 0.4× 66 0.8× 52 2.2k

Countries citing papers authored by Eugene Vasiliev

Since Specialization
Citations

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

Fields of papers citing papers by Eugene Vasiliev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eugene Vasiliev

This figure shows the co-authorship network connecting the top 25 collaborators of Eugene Vasiliev. A scholar is included among the top collaborators of Eugene Vasiliev 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 Eugene Vasiliev. Eugene Vasiliev 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.
Hunt, John Douglas & Eugene Vasiliev. (2025). Milky Way dynamics in light of Gaia. New Astronomy Reviews. 100. 101721–101721. 18 indexed citations
2.
Pascale, R., G. Battaglia, Guillaume F. Thomas, et al.. (2025). Chemo-dynamics of the stellar component of the Sculptor dwarf galaxy. Astronomy and Astrophysics. 699. A347–A347. 3 indexed citations
3.
Sormani, Mattia C., Eugene Vasiliev, Simon C. O. Glover, et al.. (2024). Testing kinematic distances under a realistic Galactic potential. Astronomy and Astrophysics. 692. A216–A216. 12 indexed citations
4.
Tepper-García, Thor, Joss Bland‐Hawthorn, Eugene Vasiliev, et al.. (2024). Nexus: a framework for controlled simulations of idealized galaxies. Monthly Notices of the Royal Astronomical Society. 535(1). 187–206. 4 indexed citations
5.
Vasiliev, Eugene, et al.. (2024). The Lower Limit of Dynamical Black Hole Masses Detectable in Virgo Compact Stellar Systems Using the JWST/NIRSpec IFU. The Astrophysical Journal. 974(1). 60–60.
6.
Vasiliev, Eugene, M. Sarzi, Massimo Dotti, et al.. (2023). The fragility of thin discs in galaxies – I. Building tailored N-body galaxy models. Monthly Notices of the Royal Astronomical Society. 520(3). 4490–4501. 3 indexed citations
7.
Vasiliev, Eugene, et al.. (2023). The Mass of the Black Hole in NGC 5273 from Stellar Dynamical Modeling. The Astrophysical Journal. 949(1). 13–13. 4 indexed citations
8.
Capelo, Pedro R., Eugene Vasiliev, Massimo Dotti, et al.. (2023). The fragility of thin discs in galaxies – II. Thin discs as tracers of the assembly history of galaxies. Monthly Notices of the Royal Astronomical Society. 523(3). 3939–3948. 3 indexed citations
9.
Vasiliev, Eugene. (2023). The Effect of the LMC on the Milky Way System. Galaxies. 11(2). 59–59. 45 indexed citations
10.
Sormani, Mattia C., Jason L. Sanders, T. K. Fritz, et al.. (2022). Self-consistent modelling of the Milky Way's nuclear stellar disc. IrInSubria (University of Insubria). 55 indexed citations
11.
Sormani, Mattia C., et al.. (2022). The stellar mass distribution of the Milky Way’s bar: an analytical model. Monthly Notices of the Royal Astronomical Society Letters. 514(1). L1–L5. 33 indexed citations
12.
Belokurov, Vasily, Eugene Vasiliev, Alis J. Deason, et al.. (2022). Energy wrinkles and phase-space folds of the last major merger. Monthly Notices of the Royal Astronomical Society. 518(4). 6200–6215. 34 indexed citations
13.
Bentz, Misty C., et al.. (2021). The Black Hole Mass of NGC 4151 from Stellar Dynamical Modeling. The Astrophysical Journal. 916(1). 25–25. 13 indexed citations
14.
Read, Justin I., G. A. Mamon, Eugene Vasiliev, et al.. (2020). Breaking beta: a comparison of mass modelling methods for spherical systems. Monthly Notices of the Royal Astronomical Society. 501(1). 978–993. 29 indexed citations
15.
Myeong, GyuChul, Eugene Vasiliev, Giuliano Iorio, N. W. Evans, & Vasily Belokurov. (2019). Evidence for two early accretion events that built the Milky Way stellar halo. Monthly Notices of the Royal Astronomical Society. 488(1). 1235–1247. 309 indexed citations breakdown →
16.
Vasiliev, Eugene & Monica Valluri. (2019). FORSTAND: Flexible ORbit Superposition Toolbox for ANalyzing Dynamical models. Astrophysics Source Code Library. 1 indexed citations
17.
Vasiliev, Eugene. (2019). Proper motions and dynamics of the Milky Way globular cluster system fromGaiaDR2. Monthly Notices of the Royal Astronomical Society. 484(2). 2832–2850. 166 indexed citations
18.
Vasiliev, Eugene. (2018). AGAMA: Action-based galaxy modeling framework. Astrophysics Source Code Library. 3 indexed citations
19.
Stone, Nicholas C., Aleksey Generozov, Eugene Vasiliev, & Brian D. Metzger. (2018). Understanding the Host Galaxies of Tidal Disruption Flares. 231. 1 indexed citations
20.
Vasiliev, Eugene. (2013). SMILE: Orbital analysis and Schwarzschild modeling of triaxial stellar systems. Astrophysics Source Code Library. 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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