Matthew O’Dowd

883 total citations
28 papers, 559 citations indexed

About

Matthew O’Dowd is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Instrumentation. According to data from OpenAlex, Matthew O’Dowd has authored 28 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Astronomy and Astrophysics, 9 papers in Nuclear and High Energy Physics and 4 papers in Instrumentation. Recurrent topics in Matthew O’Dowd's work include Galaxies: Formation, Evolution, Phenomena (19 papers), Astrophysical Phenomena and Observations (15 papers) and Astrophysics and Cosmic Phenomena (8 papers). Matthew O’Dowd is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (19 papers), Astrophysical Phenomena and Observations (15 papers) and Astrophysics and Cosmic Phenomena (8 papers). Matthew O’Dowd collaborates with scholars based in United States, Australia and United Kingdom. Matthew O’Dowd's co-authors include C. M. Urry, R. Scarpa, R. Falomo, A. Treves, Joseph E. Pesce, R. L. Webster, N. F. Bate, Kathleen Labrie, R. B. Wayth and K. E. Saavik Ford and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and Space Science Reviews.

In The Last Decade

Matthew O’Dowd

27 papers receiving 533 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew O’Dowd United States 11 532 249 58 38 13 28 559
Lixin Dai United States 14 462 0.9× 199 0.8× 33 0.6× 26 0.7× 22 1.7× 30 527
M. T. Ceballos Spain 13 545 1.0× 247 1.0× 62 1.1× 20 0.5× 6 0.5× 47 566
Fabrizia Guglielmetti Germany 8 297 0.6× 163 0.7× 45 0.8× 27 0.7× 6 0.5× 19 345
Evangelia Tremou United States 13 488 0.9× 160 0.6× 89 1.5× 20 0.5× 24 1.8× 49 514
D. Jerius United States 10 421 0.8× 223 0.9× 42 0.7× 34 0.9× 8 0.6× 29 447
Frank Eisenhauer Germany 5 440 0.8× 91 0.4× 56 1.0× 45 1.2× 13 1.0× 5 455
H. Bartko Germany 7 557 1.0× 148 0.6× 71 1.2× 54 1.4× 23 1.8× 13 574
G. Hasinger Germany 8 604 1.1× 248 1.0× 107 1.8× 16 0.4× 16 1.2× 21 633
I. M. McHardy United Kingdom 14 486 0.9× 232 0.9× 61 1.1× 28 0.7× 5 0.4× 36 502
U. Feindt Sweden 10 489 0.9× 167 0.7× 68 1.2× 20 0.5× 8 0.6× 20 515

Countries citing papers authored by Matthew O’Dowd

Since Specialization
Citations

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

Fields of papers citing papers by Matthew O’Dowd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew O’Dowd. 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 Matthew O’Dowd. The network helps show where Matthew O’Dowd may publish in the future.

Co-authorship network of co-authors of Matthew O’Dowd

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew O’Dowd. A scholar is included among the top collaborators of Matthew O’Dowd 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 Matthew O’Dowd. Matthew O’Dowd 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.
Ford, K. E. Saavik, et al.. (2025). Evolution of LISA Observables for Binary Black Holes Lensed by a Supermassive Black Hole. The Astrophysical Journal. 991(2). 161–161.
2.
O’Dowd, Matthew, et al.. (2025). amoeba: an AGN Model of Optical Emissions Beyond steady-state Accretion discs. Monthly Notices of the Royal Astronomical Society. 539(2). 1269–1290. 1 indexed citations
3.
Anguita, T., et al.. (2025). Predicting High-magnification Events in Microlensed Quasars in the Era of LSST Using Recurrent Neural Networks. The Astrophysical Journal. 981(1). 61–61. 1 indexed citations
4.
Vernardos, G., et al.. (2024). Resolving the vicinity of supermassive black holes with gravitational microlensing. Monthly Notices of the Royal Astronomical Society. 531(1). 1095–1112. 5 indexed citations
5.
Chan, J. H. H., et al.. (2024). Reverberation Mapping of Lamppost and Wind Structures in Accretion Thin Disks. The Astrophysical Journal. 978(1). 54–54. 1 indexed citations
6.
Chan, J. H. H., K. E. Saavik Ford, M. J. Graham, et al.. (2024). Latent Stochastic Differential Equations for Modeling Quasar Variability and Inferring Black Hole Properties. The Astrophysical Journal. 965(2). 104–104. 5 indexed citations
7.
Vernardos, G., et al.. (2024). Measuring the substructure mass power spectrum of 23 SLACS strong galaxy–galaxy lenses with convolutional neural networks. Monthly Notices of the Royal Astronomical Society. 532(2). 2248–2269. 2 indexed citations
8.
Vernardos, G., Dominique Sluse, D. Pooley, et al.. (2024). Microlensing of Strongly Lensed Quasars. Space Science Reviews. 220(1). 17 indexed citations
9.
Ford, K. E. Saavik, I. Bartos, Barry McKernan, et al.. (2019). AGN (and other) astrophysics with Gravitational Wave Events. Bulletin of the American Astronomical Society. 51(3). 247. 2 indexed citations
10.
Webster, R. L., et al.. (2019). Determining Quasar Orientation. Monthly Notices of the Royal Astronomical Society. 5 indexed citations
11.
Bate, N. F., G. Vernardos, Matthew O’Dowd, et al.. (2018). HST imaging of four gravitationally lensed quasars. Monthly Notices of the Royal Astronomical Society. 479(4). 4796–4814. 21 indexed citations
12.
O’Dowd, Matthew, et al.. (2017). Ultrahigh energy cosmic ray nuclei from remnants of dead quasars. Journal of High Energy Astrophysics. 13-14. 32–45. 5 indexed citations
13.
Webster, R. L., et al.. (2017). The Kinematics of Quasar Broad Emission Line Regions Using a Disk-Wind Model. Publications of the Astronomical Society of Australia. 34. 14 indexed citations
14.
O’Dowd, Matthew, et al.. (2017). The intrinsic far-UV spectrum of the high-redshift quasar B1422+231. Monthly Notices of the Royal Astronomical Society. 473(4). 4722–4730. 1 indexed citations
15.
O’Dowd, Matthew, David Schiminovich, Benjamin D. Johnson, et al.. (2009). POLYCYCLIC AROMATIC HYDROCARBONS IN GALAXIES ATz∼ 0.1: THE EFFECT OF STAR FORMATION AND ACTIVE GALACTIC NUCLEI. The Astrophysical Journal. 705(1). 885–898. 44 indexed citations
16.
Wayth, R. B., Matthew O’Dowd, & R. L. Webster. (2005). A microlensing measurement of the size of the broad emission-line region in the lensed quasar QSO 2237+0305. Monthly Notices of the Royal Astronomical Society. 359(2). 561–566. 30 indexed citations
17.
O’Dowd, Matthew, C. M. Urry, & R. Scarpa. (2002). The Host Galaxies of Radio‐loud Active Galactic Nuclei: The Black Hole–Galaxy Connection. The Astrophysical Journal. 580(1). 96–103. 28 indexed citations
18.
Urry, C. M., R. Scarpa, Matthew O’Dowd, et al.. (2002). Host galaxies and the unification of radio-loud AGN. New Astronomy Reviews. 46(2-7). 349–351. 3 indexed citations
19.
Pesce, Joseph E., C. M. Urry, Matthew O’Dowd, et al.. (2002). Hubble space telescope observations of BL Lacertae environments. New Astronomy Reviews. 46(2-7). 159–162. 3 indexed citations
20.
Scarpa, R., C. M. Urry, R. Falomo, et al.. (1999). TheHubble Space TelescopeSurvey of BL Lacertae Objects: Gravitational Lens Candidates and Other Unusual Sources. The Astrophysical Journal. 521(1). 134–144. 29 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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