Brian J. Boyle

1.4k total citations
9 papers, 508 citations indexed

About

Brian J. Boyle is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Brian J. Boyle has authored 9 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Astronomy and Astrophysics, 2 papers in Nuclear and High Energy Physics and 1 paper in Atomic and Molecular Physics, and Optics. Recurrent topics in Brian J. Boyle's work include Galaxies: Formation, Evolution, Phenomena (6 papers), Radio Astronomy Observations and Technology (4 papers) and Gamma-ray bursts and supernovae (3 papers). Brian J. Boyle is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (6 papers), Radio Astronomy Observations and Technology (4 papers) and Gamma-ray bursts and supernovae (3 papers). Brian J. Boyle collaborates with scholars based in Australia, United States and United Kingdom. Brian J. Boyle's co-authors include S. M. Croom, Carole Jackson, T. Shanks, David A. Wake, Kevin A. Pimbblet, Adam D. Myers, Gordon T. Richards, T. J. Cornwell, R. C. Nichol and Nicholas P. Ross and has published in prestigious journals such as The Astrophysical Journal, Proceedings of the IEEE and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

Brian J. Boyle

8 papers receiving 492 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brian J. Boyle Australia 6 478 173 119 76 40 9 508
Marta Spinelli Italy 15 405 0.8× 240 1.4× 43 0.4× 59 0.8× 31 0.8× 25 476
Tabitha Voytek United States 5 606 1.3× 312 1.8× 32 0.3× 115 1.5× 35 0.9× 6 632
Sourav Mitra India 14 613 1.3× 251 1.5× 151 1.3× 33 0.4× 22 0.6× 21 635
Attila Popping Australia 15 664 1.4× 158 0.9× 218 1.8× 26 0.3× 14 0.3× 27 673
F. H. Briggs Netherlands 11 373 0.8× 90 0.5× 96 0.8× 43 0.6× 18 0.5× 18 400
Steven Cunnington United Kingdom 12 329 0.7× 139 0.8× 48 0.4× 30 0.4× 24 0.6× 21 373
Paul M. Geil Australia 12 573 1.2× 208 1.2× 240 2.0× 30 0.4× 29 0.7× 22 588
A. P. Chippendale Australia 12 379 0.8× 110 0.6× 43 0.4× 182 2.4× 88 2.2× 33 429
Michelle C. Storey Australia 8 334 0.7× 127 0.7× 25 0.2× 81 1.1× 43 1.1× 19 366
Lewis Ball Australia 11 478 1.0× 253 1.5× 21 0.2× 81 1.1× 44 1.1× 35 507

Countries citing papers authored by Brian J. Boyle

Since Specialization
Citations

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

Fields of papers citing papers by Brian J. Boyle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian J. Boyle

This figure shows the co-authorship network connecting the top 25 collaborators of Brian J. Boyle. A scholar is included among the top collaborators of Brian J. Boyle 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 Brian J. Boyle. Brian J. Boyle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Croom, S. M., Gordon T. Richards, T. Shanks, et al.. (2009). The 2dF���SDSS LRG and QSO survey: the QSO luminosity function at 0.4 <z< 2.6. Monthly Notices of the Royal Astronomical Society. 399(4). 1755–1772. 143 indexed citations
2.
DeBoer, David R., R. G. Gough, John D. Bunton, et al.. (2009). Australian SKA Pathfinder: A High-Dynamic Range Wide-Field of View Survey Telescope. Proceedings of the IEEE. 97(8). 1507–1521. 170 indexed citations
3.
Middelberg, E., R. P. Norris, T. J. Cornwell, et al.. (2008). DEEP AUSTRALIA TELESCOPE LARGE AREA SURVEY RADIO OBSERVATIONS OF THE EUROPEAN LARGE AREA ISO SURVEY S1/SPITZERWIDE-AREA INFRARED EXTRAGALCTIC FIELD. The Astronomical Journal. 135(4). 1276–1290. 46 indexed citations
4.
Norris, R. P., J. Afonso, P. N. Appleton, et al.. (2006). Deep ATLAS Radio Observations of the Chandra Deep Field?South/SpitzerWide?Area Infrared Extragalactic Field. The Astronomical Journal. 132(6). 2409–2423. 111 indexed citations
5.
Norris, R. P., Minh Huynh, Carole Jackson, et al.. (2005). Radio Observations of the Hubble Deep Field-South Region. I. Survey Description and Initial Results. The Astronomical Journal. 130(4). 1358–1372. 10 indexed citations
6.
Croom, S. M., D. Schade, Brian J. Boyle, et al.. (2004). Gemini Imaging of QSO Host Galaxies atz ∼ 2. The Astrophysical Journal. 606(1). 126–138. 20 indexed citations
7.
Brown, George W., et al.. (2000). Watershed management in the United States in the 21st Century. 13. 57–64. 1 indexed citations
8.
Berk, D. E. vanden, J. T. Lauroesch, Chris Stoughton, et al.. (1999). Clustering Properties of Low‐Redshift QSO Absorption Systems Toward the Galactic Poles. The Astrophysical Journal Supplement Series. 122(2). 355–414. 4 indexed citations
9.
Boyle, Brian J.. (1994). Policies and mythologies of the US Forest Service : a conversation with employees. 3 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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