Brendan M. Quine

897 total citations
54 papers, 512 citations indexed

About

Brendan M. Quine is a scholar working on Aerospace Engineering, Atmospheric Science and Spectroscopy. According to data from OpenAlex, Brendan M. Quine has authored 54 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Aerospace Engineering, 18 papers in Atmospheric Science and 13 papers in Spectroscopy. Recurrent topics in Brendan M. Quine's work include Spectroscopy and Laser Applications (13 papers), Atmospheric Ozone and Climate (10 papers) and Atmospheric and Environmental Gas Dynamics (10 papers). Brendan M. Quine is often cited by papers focused on Spectroscopy and Laser Applications (13 papers), Atmospheric Ozone and Climate (10 papers) and Atmospheric and Environmental Gas Dynamics (10 papers). Brendan M. Quine collaborates with scholars based in Canada, United Kingdom and Australia. Brendan M. Quine's co-authors include Sanjar M. Abrarov, J. R. Drummond, Hugh Durrant‐Whyte, Richard Hornsey, Henok Mebrahtu, Zheng Zhu, R. K. Seth, Jeffrey Uhlmann, Kimberly Strong and Regina Lee and has published in prestigious journals such as SHILAP Revista de lepidopterología, Automatica and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

Brendan M. Quine

49 papers receiving 459 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brendan M. Quine Canada 12 164 158 135 108 76 54 512
Samuel J. Grauer United States 16 128 0.8× 81 0.5× 189 1.4× 170 1.6× 59 0.8× 39 711
F. Kerber Germany 19 65 0.4× 118 0.7× 150 1.1× 47 0.4× 67 0.9× 151 1.5k
Edwin M. Winter United States 11 148 0.9× 314 2.0× 17 0.1× 18 0.2× 30 0.4× 61 907
Jose Israel Rodriguez United States 12 158 1.0× 124 0.8× 20 0.1× 115 1.1× 27 0.4× 77 557
Kerri Cahoy United States 18 335 2.0× 135 0.9× 32 0.2× 28 0.3× 334 4.4× 148 1.0k
Jiansheng Chen China 16 40 0.2× 50 0.3× 23 0.2× 75 0.7× 78 1.0× 78 850
G. A. Lyzenga United States 18 117 0.7× 44 0.3× 15 0.1× 10 0.1× 78 1.0× 53 1.2k
Patrick Fischer France 12 60 0.4× 80 0.5× 12 0.1× 51 0.5× 19 0.3× 43 465
Eric P. Fox United States 8 65 0.4× 26 0.2× 15 0.1× 34 0.3× 24 0.3× 16 659
William J. Lentz United States 8 115 0.7× 38 0.2× 9 0.1× 55 0.5× 37 0.5× 14 348

Countries citing papers authored by Brendan M. Quine

Since Specialization
Citations

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

Fields of papers citing papers by Brendan M. Quine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brendan M. Quine. 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 Brendan M. Quine. The network helps show where Brendan M. Quine may publish in the future.

Co-authorship network of co-authors of Brendan M. Quine

This figure shows the co-authorship network connecting the top 25 collaborators of Brendan M. Quine. A scholar is included among the top collaborators of Brendan M. Quine 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 Brendan M. Quine. Brendan M. Quine 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.
Abrarov, Sanjar M., et al.. (2024). An Iterative Method for Computing π by Argument Reduction of the Tangent Function. Mathematical and Computational Applications. 29(2). 17–17.
2.
Abrarov, Sanjar M., et al.. (2023). A Generalized Series Expansion of the Arctangent Function Based on the Enhanced Midpoint Integration. SHILAP Revista de lepidopterología. 3(2). 395–405. 1 indexed citations
3.
Abrarov, Sanjar M., et al.. (2022). Effect of the Instrument Slit Function on Upwelling Radiance from a Wavelength Dependent Surface Reflectance. Natural Science. 14(3). 133–147. 1 indexed citations
4.
Simard, Dana, Robert Main, Ue‐Li Pen, et al.. (2021). Scintillation of PSR B1508+55 – the view from a 10 000-km baseline. Monthly Notices of the Royal Astronomical Society. 506(4). 5160–5169. 6 indexed citations
5.
Abrarov, Sanjar M., et al.. (2020). A New Approach to Detect Combustion-Originated Aerosols by Using a Cloud Method. AGU Fall Meeting Abstracts. 2020. 1 indexed citations
6.
7.
Abrarov, Sanjar M., et al.. (2019). Carbon dioxide retrieval of Argus 1000 space data by using GENSPECT line-by-line radiative transfer model. Environment and Natural Resources Research. 9(3). 77–77. 3 indexed citations
8.
Abrarov, Sanjar M., et al.. (2019). Efficient detection of cloud scenes by Radiance Enhancement and Shortwave up Radiative Flux within the NIR wavelength bands of space orbiting Argus 1000 spectrometer. arXiv (Cornell University). 1 indexed citations
9.
Abrarov, Sanjar M., et al.. (2018). A sampling-based approximation of the complex error function and its implementation without poles. Applied Numerical Mathematics. 129. 181–191. 9 indexed citations
10.
Quine, Brendan M., et al.. (2015). ArgusE: Design and Development of a Micro-Spectrometer used for Remote Earth and Atmospheric Observations. amos. 98. 1 indexed citations
11.
Abrarov, Sanjar M. & Brendan M. Quine. (2015). Accurate Approximations for the Complex Error Function with Small Imaginary Argument. Journal of Mathematics Research. 7(1). 44–44. 8 indexed citations
12.
Seth, R. K., Zheng Zhu, & Brendan M. Quine. (2013). Experimental investigation of inflated multiple-beam structures for future space tower. 1(1). 82–82.
13.
Abrarov, Sanjar M. & Brendan M. Quine. (2011). Efficient algorithmic implementation of the Voigt/complex error function based on exponential series approximation. Applied Mathematics and Computation. 218(5). 1894–1902. 69 indexed citations
14.
Lee, Regina, et al.. (2011). Geolocation of Argus Flight Data. IEEE Transactions on Geoscience and Remote Sensing. 50(2). 357–361. 6 indexed citations
15.
Seth, R. K., Brendan M. Quine, & Zheng Zhu. (2009). Feasibility of 20 km Free-Standing Inflatable Space Tower. York University Digital Library (York University). 62. 342–353. 1 indexed citations
16.
Quine, Brendan M., et al.. (2009). Carbon Dioxide Retrieval from Space Spectral Data of ARGUS 1000 Spectrometer. AGUFM. 2009. 1 indexed citations
17.
Abrarov, Sanjar M., et al.. (2009). A simple interpolating algorithm for the rapid and accurate calculation of the Voigt function. Journal of Quantitative Spectroscopy and Radiative Transfer. 110(6-7). 376–383. 16 indexed citations
18.
Abrarov, Sanjar M., et al.. (2009). Rapidly convergent series for high-accuracy calculation of the Voigt function. Journal of Quantitative Spectroscopy and Radiative Transfer. 111(3). 372–375. 15 indexed citations
19.
Toohey, Matthew, Brendan M. Quine, Kimberly Strong, et al.. (2007). Balloon-borne radiometer measurements of Northern Hemisphere mid-latitude stratospheric HNO 3 profiles spanning 12 years. Atmospheric chemistry and physics. 7(23). 6075–6084. 2 indexed citations
20.
Quine, Brendan M. & Hugh Durrant‐Whyte. (1996). A fast autonomous star-acquisition algorithm for spacecraft. Control Engineering Practice. 4(12). 1735–1740. 22 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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