Daniel J. D’Orazio

3.7k total citations · 1 hit paper
55 papers, 1.7k citations indexed

About

Daniel J. D’Orazio is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Oceanography. According to data from OpenAlex, Daniel J. D’Orazio has authored 55 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Astronomy and Astrophysics, 5 papers in Nuclear and High Energy Physics and 3 papers in Oceanography. Recurrent topics in Daniel J. D’Orazio's work include Astrophysical Phenomena and Observations (40 papers), Pulsars and Gravitational Waves Research (37 papers) and Gamma-ray bursts and supernovae (18 papers). Daniel J. D’Orazio is often cited by papers focused on Astrophysical Phenomena and Observations (40 papers), Pulsars and Gravitational Waves Research (37 papers) and Gamma-ray bursts and supernovae (18 papers). Daniel J. D’Orazio collaborates with scholars based in United States, Denmark and Switzerland. Daniel J. D’Orazio's co-authors include Zoltán Haiman, Johan Samsing, Andrew MacFadyen, Paul C. Duffell, Abraham Loeb, R. Di Stefano, Brian D. Farris, David Schiminovich, Janna Levin and Andrea Derdzinski and has published in prestigious journals such as Nature, The Astrophysical Journal and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

Daniel J. D’Orazio

49 papers receiving 1.5k citations

Hit Papers

AGN as potential factories for eccentric black hole mergers 2022 2026 2023 2024 2022 40 80 120
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.

  1. AGN as potential factories for eccentric black hole mergers
    2022 149 citations Johan Samsing, I. Bartos et al. Nature profile →

Peers

Daniel J. D’Orazio
Johan Samsing United States
Dacheng Lin United States
Martín E. Pessah Denmark
Hotaka Shiokawa United States
S. Yoshida Japan
R. P. Fender United Kingdom
Federico García Argentina
V. Dhawan United States
Yuk Tung Liu United States
Monika Mościbrodzka Netherlands
Johan Samsing United States
Daniel J. D’Orazio
Citations per year, relative to Daniel J. D’Orazio Daniel J. D’Orazio (= 1×) peers Johan Samsing

Countries citing papers authored by Daniel J. D’Orazio

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. D’Orazio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. D’Orazio. 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 Daniel J. D’Orazio. The network helps show where Daniel J. D’Orazio may publish in the future.

Co-authorship network of co-authors of Daniel J. D’Orazio

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. D’Orazio. A scholar is included among the top collaborators of Daniel J. D’Orazio 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 Daniel J. D’Orazio. Daniel J. D’Orazio 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
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D’Orazio, Daniel J., et al.. (2025). Hot, Cold, and Multicomponent Accretion Flows around Supermassive Black Hole Binaries. The Astrophysical Journal. 995(1). 68–68. 1 indexed citations
3.
Laal, Nima, Stephen R. Taylor, Luke Zoltan Kelley, et al.. (2025). Deep Neural Emulation of the Supermassive Black Hole Binary Population. The Astrophysical Journal. 982(1). 55–55. 3 indexed citations
4.
Rigamonti, Fabio, et al.. (2025). Testing compact massive black hole binary candidates through multi-epoch spectroscopy. Astronomy and Astrophysics. 702. A165–A165. 2 indexed citations
5.
6.
D’Orazio, Daniel J., et al.. (2024). Disk-induced Binary Precession: Implications for Dynamics and Multimessenger Observations of Black Hole Binaries. The Astrophysical Journal. 964(1). 46–46. 15 indexed citations
7.
Brightman, Murray, Daniel Stern, Thomas Connor, et al.. (2024). NuSTAR Observations of Candidate Subparsec Binary Supermassive Black Holes. The Astrophysical Journal. 966(1). 104–104. 4 indexed citations
8.
Duffell, Paul C., Alexander J. Dittmann, Daniel J. D’Orazio, et al.. (2024). The Santa Barbara Binary−disk Code Comparison. The Astrophysical Journal. 970(2). 156–156. 23 indexed citations
9.
D’Orazio, Daniel J., et al.. (2024). Gaseous Dynamical Friction on Elliptical Keplerian Orbits. The Astrophysical Journal. 974(2). 216–216. 9 indexed citations
10.
D’Orazio, Daniel J., et al.. (2024). Fast Methods for Computing Photometric Variability of Eccentric Binaries: Boosting, Lensing, and Variable Accretion. The Astrophysical Journal. 977(2). 244–244. 6 indexed citations
11.
D’Orazio, Daniel J., et al.. (2023). Eccentric binaries in retrograde discs. Monthly Notices of the Royal Astronomical Society. 527(3). 6021–6037. 16 indexed citations
12.
Kara, Erin, Dheeraj R. Pasham, Daniel J. D’Orazio, et al.. (2023). Unusual Hard X-Ray Flares Caught in NICER Monitoring of the Binary Supermassive Black Hole Candidate AT2019cuk/Tick Tock/SDSS J1430+2303. The Astrophysical Journal Letters. 945(2). L34–L34. 4 indexed citations
13.
Dotti, Massimo, Matteo Bonetti, Daniel J. D’Orazio, Zoltán Haiman, & Luis C. Ho. (2022). Binary black hole signatures in polarized light curves. BOA (University of Milano-Bicocca). 8 indexed citations
14.
Samsing, Johan, I. Bartos, Daniel J. D’Orazio, et al.. (2022). AGN as potential factories for eccentric black hole mergers. Nature. 603(7900). 237–240. 149 indexed citations breakdown →
15.
D’Orazio, Daniel J. & Abraham Loeb. (2021). Using gravitational wave parallax to measure the Hubble parameter with pulsar timing arrays. Physical review. D. 104(6). 9 indexed citations
16.
Kelley, Luke Zoltan, Daniel J. D’Orazio, & R. Di Stefano. (2021). Gravitational self-lensing in populations of massive black hole binaries. Monthly Notices of the Royal Astronomical Society. 508(2). 2524–2536. 25 indexed citations
17.
D’Orazio, Daniel J., Zoltán Haiman, Krista Lynne Smith, et al.. (2020). Spikey: self-lensing flares from eccentric SMBH binaries. Monthly Notices of the Royal Astronomical Society. 495(4). 4061–4070. 30 indexed citations
18.
Kremer, Kyle, Daniel J. D’Orazio, Johan Samsing, Sourav Chatterjee, & Frederic A. Rasio. (2019). Probing the Survival of Planetary Systems in Globular Clusters with Tidal Disruption Events. The Astrophysical Journal. 885(1). 2–2. 9 indexed citations
19.
D’Orazio, Daniel J. & Abraham Loeb. (2018). Repeated Imaging of Massive Black Hole Binary Orbits with Millimeter Interferometry: Measuring Black Hole Masses and the Hubble Constant. The Astrophysical Journal. 863(2). 185–185. 28 indexed citations
20.
D’Orazio, Daniel J., Zoltán Haiman, & David Schiminovich. (2015). Relativistic boost as the cause of periodicity in a massive black-hole binary candidate. Nature. 525(7569). 351–353. 123 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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