J. Burke

2.0k total citations
26 papers, 259 citations indexed

About

J. Burke is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Instrumentation. According to data from OpenAlex, J. Burke has authored 26 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Astronomy and Astrophysics, 7 papers in Nuclear and High Energy Physics and 2 papers in Instrumentation. Recurrent topics in J. Burke's work include Gamma-ray bursts and supernovae (21 papers), Astrophysical Phenomena and Observations (15 papers) and Stellar, planetary, and galactic studies (9 papers). J. Burke is often cited by papers focused on Gamma-ray bursts and supernovae (21 papers), Astrophysical Phenomena and Observations (15 papers) and Stellar, planetary, and galactic studies (9 papers). J. Burke collaborates with scholars based in United States, France and Israel. J. Burke's co-authors include D. A. Howell, C. McCully, D. Hiramatsu, G. Hosseinzadeh, I. Arcavi, T. A. Pritchard, C. Pellegrino, S. Valenti, P. J. Brown and Estefania Padilla Gonzalez and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and Publications of the Astronomical Society of the Pacific.

In The Last Decade

J. Burke

22 papers receiving 224 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Burke United States 9 253 87 30 5 5 26 259
C. Rojas-Bravo United States 8 226 0.9× 85 1.0× 38 1.3× 6 1.2× 4 0.8× 15 244
Liang-Duan Liu China 13 365 1.4× 103 1.2× 30 1.0× 5 1.0× 5 1.0× 35 374
Marie-Luise Menzel Germany 4 247 1.0× 78 0.9× 58 1.9× 5 1.0× 4 0.8× 5 254
C. Vignali Italy 5 218 0.9× 100 1.1× 29 1.0× 6 1.2× 3 0.6× 6 230
Yuu Niino Japan 7 205 0.8× 114 1.3× 55 1.8× 4 0.8× 8 1.6× 18 228
Q. D’Amato Italy 7 148 0.6× 52 0.6× 54 1.8× 7 1.4× 6 1.2× 13 162
E. Reilly United Kingdom 9 257 1.0× 83 1.0× 27 0.9× 2 0.4× 7 1.4× 12 266
Murilo Marinello Brazil 8 170 0.7× 71 0.8× 48 1.6× 6 1.2× 2 0.4× 15 185
Judit Fogasy Sweden 6 245 1.0× 136 1.6× 28 0.9× 5 1.0× 4 0.8× 11 250
X. Zhao United States 8 135 0.5× 72 0.8× 17 0.6× 14 2.8× 6 1.2× 20 145

Countries citing papers authored by J. Burke

Since Specialization
Citations

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

Fields of papers citing papers by J. Burke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Burke

This figure shows the co-authorship network connecting the top 25 collaborators of J. Burke. A scholar is included among the top collaborators of J. Burke 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 J. Burke. J. Burke 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.
Newsome, Megan, I. Arcavi, D. A. Howell, et al.. (2024). Probing the Subparsec Dust of a Supermassive Black Hole with the Tidal Disruption Event AT 2020mot. The Astrophysical Journal. 961(2). 239–239. 5 indexed citations
2.
Gonzalez, Estefania Padilla, D. A. Howell, J. Burke, et al.. (2023). Peculiar Spectral Evolution of the Type I Supernova 2019eix: A Possible Double Detonation from a Helium Shell on a Sub-Chandrasekhar-mass White Dwarf. The Astrophysical Journal. 953(1). 25–25. 2 indexed citations
3.
Pellegrino, C., D. Hiramatsu, I. Arcavi, et al.. (2023). SN 2020bio: A Double-peaked, H-poor Type IIb Supernova with Evidence of Circumstellar Interaction. The Astrophysical Journal. 954(1). 35–35. 8 indexed citations
4.
Vogl, C., M. Modjaz, Wolfgang Kerzendorf, et al.. (2023). SN 2019ewu: A Peculiar Supernova with Early Strong Carbon and Weak Oxygen Features from a New Sample of Young SN Ic Spectra. The Astrophysical Journal Letters. 944(2). L49–L49. 5 indexed citations
5.
Arcavi, I., Megan Newsome, Joseph Farah, et al.. (2023). The Type Ibn Supernova 2019kbj: Indications for Diversity in Type Ibn Supernova Progenitors. The Astrophysical Journal. 946(1). 30–30. 5 indexed citations
6.
Hosseinzadeh, G., David J. Sand, J. Jencson, et al.. (2023). JWST Imaging of the Cartwheel Galaxy Reveals Dust Associated with SN 2021afdx. The Astrophysical Journal Letters. 942(1). L18–L18. 1 indexed citations
7.
Pellegrino, C., D. A. Howell, J. Vinkó, et al.. (2022). Circumstellar Interaction Powers the Light Curves of Luminous Rapidly Evolving Optical Transients. The Astrophysical Journal. 926(2). 125–125. 32 indexed citations
8.
Gangopadhyay, Anjasha, Kuntal Misra, G. Hosseinzadeh, et al.. (2022). Evolution of a Peculiar Type Ibn Supernova SN 2019wep. The Astrophysical Journal. 930(2). 127–127. 3 indexed citations
9.
Singh, Mridweeka, Kuntal Misra, D. K. Sahu, et al.. (2022). Optical studies of a bright Type Iax supernova SN 2020rea. Monthly Notices of the Royal Astronomical Society. 517(4). 5617–5626. 1 indexed citations
10.
Wang, Lifan, N. B. Suntzeff, Lei Hu, et al.. (2022). Using 1991T/1999aa-like Type Ia Supernovae as Standardizable Candles. The Astrophysical Journal. 938(1). 83–83. 4 indexed citations
11.
Andrews, Jennifer E., Jeniveve Pearson, M. Lundquist, et al.. (2022). High-Cadence TESS and Ground-based Data of SN 2019esa, the Less Energetic Sibling of SN 2006gy . The Astrophysical Journal. 938(1). 19–19.
12.
Pellegrino, C., D. A. Howell, G. Terreran, et al.. (2022). The Diverse Properties of Type Icn Supernovae Point to Multiple Progenitor Channels. The Astrophysical Journal. 938(1). 73–73. 19 indexed citations
13.
Graham, M. L., Sahana Kumar, David J. Sand, et al.. (2022). Nebular-phase spectra of Type Ia supernovae from the Las Cumbres Observatory Global Supernova Project. Monthly Notices of the Royal Astronomical Society. 511(3). 3682–3707. 5 indexed citations
14.
Johansson, J., S. B. Cenko, Ori D. Fox, et al.. (2021). Near-infrared Supernova Ia Distances: Host Galaxy Extinction and Mass-step Corrections Revisited. The Astrophysical Journal. 923(2). 237–237. 23 indexed citations
15.
Dastidar, Raya, Kuntal Misra, S. Valenti, et al.. (2019). SN 2015an: a normal luminosity type II supernova with low expansion velocity at early phases. Monthly Notices of the Royal Astronomical Society. 490(2). 1605–1619. 4 indexed citations
16.
Arcavi, I., C. McCully, D. Hiramatsu, et al.. (2019). LIGO/Virgo S190426c: Nemo is Unrelated.. GCN. 24251. 1.
17.
Wyatt, S., A. Tohuvavohu, I. Arcavi, et al.. (2019). Announcing the GW Treasure Map. GRB Coordinates Network. 26244. 1. 1 indexed citations
18.
Burke, J., I. Arcavi, D. A. Howell, et al.. (2019). FLOYDS Classification of AT 2019ein / ATLAS19ieo as a Young and Peculiar SN Ia. The astronomer's telegram. 12719. 1.
19.
Hiramatsu, D., I. Arcavi, J. Burke, et al.. (2019). LIGO/Virgo S190425z: ZTF19aarykkb Imaging from Las Cumbres Observatory.. GRB Coordinates Network. 24194. 1.
20.
Arcavi, I., J. Burke, K. Decker French, et al.. (2018). FLOYDS Classification of AT 2018dyk/ZTF18aajupnt as a Possible Tidal Disruption Event. ATel. 11953. 1. 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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