Daryl Haggard

18.1k total citations
82 papers, 1.7k citations indexed

About

Daryl Haggard is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Biomedical Engineering. According to data from OpenAlex, Daryl Haggard has authored 82 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Astronomy and Astrophysics, 21 papers in Nuclear and High Energy Physics and 10 papers in Biomedical Engineering. Recurrent topics in Daryl Haggard's work include Astrophysical Phenomena and Observations (55 papers), Pulsars and Gravitational Waves Research (36 papers) and Gamma-ray bursts and supernovae (31 papers). Daryl Haggard is often cited by papers focused on Astrophysical Phenomena and Observations (55 papers), Pulsars and Gravitational Waves Research (36 papers) and Gamma-ray bursts and supernovae (31 papers). Daryl Haggard collaborates with scholars based in United States, Canada and United Kingdom. Daryl Haggard's co-authors include John J. Ruan, Melania Nynka, P. A. Evans, C. O. Heinke, Vicky Kalogera, Michael A. Nowak, Sera Markoff, Frederick K. Baganoff, Joey Neilsen and Jason Dexter and has published in prestigious journals such as Science, The Astrophysical Journal and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

Daryl Haggard

65 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daryl Haggard United States 22 1.6k 538 228 161 70 82 1.7k
Paul C. Duffell United States 20 2.5k 1.6× 365 0.7× 349 1.5× 123 0.8× 50 0.7× 40 2.6k
Nicholas C. Stone United States 32 2.9k 1.9× 658 1.2× 156 0.7× 119 0.7× 133 1.9× 76 3.0k
Elena M. Rossi Netherlands 29 2.6k 1.6× 577 1.1× 306 1.3× 63 0.4× 66 0.9× 80 2.7k
Barry McKernan United States 26 2.3k 1.5× 484 0.9× 112 0.5× 90 0.6× 74 1.1× 58 2.4k
L. Zampieri Italy 27 2.3k 1.5× 735 1.4× 154 0.7× 156 1.0× 82 1.2× 133 2.4k
M. D. Filipović Australia 24 2.1k 1.3× 1.1k 2.0× 131 0.6× 73 0.5× 44 0.6× 205 2.2k
D. Pooley United States 30 2.5k 1.6× 605 1.1× 246 1.1× 227 1.4× 104 1.5× 103 2.5k
K. E. Saavik Ford United States 25 2.0k 1.3× 280 0.5× 101 0.4× 86 0.5× 64 0.9× 52 2.1k
A. M. Cherepashchuk Russia 22 1.6k 1.0× 343 0.6× 109 0.5× 197 1.2× 56 0.8× 220 1.7k
Tassos Fragos United States 26 2.3k 1.4× 494 0.9× 246 1.1× 65 0.4× 59 0.8× 76 2.3k

Countries citing papers authored by Daryl Haggard

Since Specialization
Citations

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

Fields of papers citing papers by Daryl Haggard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daryl Haggard

This figure shows the co-authorship network connecting the top 25 collaborators of Daryl Haggard. A scholar is included among the top collaborators of Daryl Haggard 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 Daryl Haggard. Daryl Haggard 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, Nicole M., et al.. (2024). KilonovAE: Exploring Kilonova Spectral Features with Autoencoders. The Astrophysical Journal. 961(1). 119–119. 2 indexed citations
2.
Plotkin, Richard M., W. N. Brandt, Elena Gallo, et al.. (2024). Radio Scrutiny of the X-Ray-weak Tail of Low-mass Active Galactic Nuclei: A Novel Signature of High-Eddington Accretion?. The Astrophysical Journal. 974(1). 66–66. 1 indexed citations
3.
Dage, Kristen C., Arash Bahramian, Smadar Naoz, et al.. (2024). An extreme ultra-compact X-ray binary in a globular cluster: multiwavelength observations of RZ 2109 explored in a triple system framework. Monthly Notices of the Royal Astronomical Society. 529(2). 1347–1355. 2 indexed citations
4.
Russell, Christopher M. P., Lía Corrales, Jorge Cuadra, et al.. (2024). Multistructured Accretion Flow of Sgr A*. II. Signatures of a Cool Accretion Disk in Hydrodynamic Simulations of Stellar Winds. The Astrophysical Journal. 974(1). 99–99. 4 indexed citations
5.
Eckner, Christopher, et al.. (2024). Simulation-based Inference of Radio Millisecond Pulsars in Globular Clusters. The Astrophysical Journal. 974(1). 144–144. 3 indexed citations
6.
Haggard, Daryl, Martin Bureau, Jindra Gensior, et al.. (2024). WISDOM project XX. – Strong shear tearing molecular clouds apart in NGC 524. Monthly Notices of the Royal Astronomical Society. 531(4). 3888–3904. 1 indexed citations
7.
Arcodia, R., F. E. Bauer, S. B. Cenko, et al.. (2024). Prospects for Time-Domain and Multi-Messenger Science with AXIS. Universe. 10(8). 316–316. 3 indexed citations
8.
9.
10.
Ruan, John J., et al.. (2023). Debiasing standard siren inference of the Hubble constant with marginal neural ratio estimation. Monthly Notices of the Royal Astronomical Society. 520(1). 1–13. 12 indexed citations
11.
Ruan, John J., Daryl Haggard, Nicole M. Ford, et al.. (2023). Spectroscopic r-Process Abundance Retrieval for Kilonovae. I. The Inferred Abundance Pattern of Early Emission from GW170817. The Astrophysical Journal. 944(2). 123–123. 21 indexed citations
12.
Davis, Timothy A., Martin Bureau, Michele Cappellari, et al.. (2023). A fundamental plane of black hole accretion at millimetre wavelengths. Monthly Notices of the Royal Astronomical Society Letters. 528(1). L76–L82. 2 indexed citations
13.
Daly, Ruth A., et al.. (2023). New black hole spin values for Sagittarius A* obtained with the outflow method. Monthly Notices of the Royal Astronomical Society. 527(1). 428–436. 14 indexed citations
14.
Dage, Kristen C., Arash Bahramian, Daryl Haggard, et al.. (2021). Ultraluminous X-ray sources in seven edge-on spiral galaxies. Monthly Notices of the Royal Astronomical Society. 508(3). 4008–4016. 5 indexed citations
15.
Cabero, M., et al.. (2021). GWSkyNet-Multi: A Machine Learning Multi-Class Classifier for LIGO-Virgo Public Alerts. arXiv (Cornell University). 8 indexed citations
16.
Witzel, Gunther, Gregory D. Martinez, S. P. Willner, et al.. (2021). Rapid Variability of Sgr A* across the Electromagnetic Spectrum. The Astrophysical Journal. 917(2). 73–73. 42 indexed citations
17.
Wang, Q. Daniel, G. W. Wilson, M. H. Heyer, et al.. (2021). AzTEC survey of the central molecular zone: data reduction, analysis, and preliminary results. Monthly Notices of the Royal Astronomical Society. 505(2). 2392–2411. 8 indexed citations
18.
Haggard, Daryl, Melania Nynka, Michael A. Nowak, et al.. (2019). UvA-DARE (University of Amsterdam). 10 indexed citations
19.
Haggard, Daryl, et al.. (2019). No Sign of G2's Encounter Affecting Sgr A*'s X-Ray Flaring Rate from Chandra Observations. The Astrophysical Journal. 884(2). 148–148. 8 indexed citations
20.
Capellupo, Daniel M., Daryl Haggard, F. K. Baganoff, et al.. (2017). Simultaneous Monitoring of X-Ray and Radio Variability in Sagittarius A*. The Astrophysical Journal. 845(1). 35–35. 10 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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