S. P. Burton

6.8k total citations
96 papers, 2.8k citations indexed

About

S. P. Burton is a scholar working on Global and Planetary Change, Atmospheric Science and Astronomy and Astrophysics. According to data from OpenAlex, S. P. Burton has authored 96 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Global and Planetary Change, 87 papers in Atmospheric Science and 6 papers in Astronomy and Astrophysics. Recurrent topics in S. P. Burton's work include Atmospheric aerosols and clouds (76 papers), Atmospheric chemistry and aerosols (76 papers) and Atmospheric and Environmental Gas Dynamics (55 papers). S. P. Burton is often cited by papers focused on Atmospheric aerosols and clouds (76 papers), Atmospheric chemistry and aerosols (76 papers) and Atmospheric and Environmental Gas Dynamics (55 papers). S. P. Burton collaborates with scholars based in United States, Netherlands and United Kingdom. S. P. Burton's co-authors include R. A. Ferrare, C. A. Hostetler, Johnathan W. Hair, David B. Harper, Anthony L. Cook, Mark Vaughan, M. D. Obland, L. W. Thomason, Raymond R. Rogers and R. R. Rogers and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Remote Sensing of Environment.

In The Last Decade

S. P. Burton

92 papers receiving 2.7k citations

Peers

S. P. Burton
Ralph E. Kuehn United States
C. Kittaka United States
C. J. Seftor United States
Stuart A. Young Australia
Igor V. Geogdzhayev United States
Connor Flynn United States
Tom F. Eck United States
Jens Redemann United States
Ralph E. Kuehn United States
S. P. Burton
Citations per year, relative to S. P. Burton S. P. Burton (= 1×) peers Ralph E. Kuehn

Countries citing papers authored by S. P. Burton

Since Specialization
Citations

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

Fields of papers citing papers by S. P. Burton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. P. Burton. 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 S. P. Burton. The network helps show where S. P. Burton may publish in the future.

Co-authorship network of co-authors of S. P. Burton

This figure shows the co-authorship network connecting the top 25 collaborators of S. P. Burton. A scholar is included among the top collaborators of S. P. Burton 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 S. P. Burton. S. P. Burton 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.
Burton, S. P., C. A. Hostetler, R. A. Ferrare, et al.. (2023). Application of DIAL/HSRL and CATCH algorithm-based methodologies for surface PM2.5 concentrations during the KORUS-AQ campaign. Atmospheric Environment. 301. 119719–119719. 1 indexed citations
2.
Dobracki, Amie, Paquita Zuidema, S. G. Howell, et al.. (2023). An attribution of the low single-scattering albedo of biomass burning aerosol over the southeastern Atlantic. Atmospheric chemistry and physics. 23(8). 4775–4799. 7 indexed citations
3.
Cochrane, Sabrina, K. Sebastian Schmidt, Hong Chen, et al.. (2022). Biomass burning aerosol heating rates from the ORACLES (ObseRvations of Aerosols above CLouds and their intEractionS) 2016 and 2017 experiments. Atmospheric measurement techniques. 15(1). 61–77. 10 indexed citations
4.
Kacenelenbogen, Meloë, Qian Tan, S. P. Burton, et al.. (2022). Identifying chemical aerosol signatures using optical suborbital observations: how much can optical properties tell us about aerosol composition?. Atmospheric chemistry and physics. 22(6). 3713–3742. 6 indexed citations
5.
Schlosser, Joseph S., Snorre Stamnes, S. P. Burton, et al.. (2022). Polarimeter + Lidar–Derived Aerosol Particle Number Concentration. SHILAP Revista de lepidopterología. 3. 9 indexed citations
6.
Gao, Meng, Bryan A. Franz, Kirk Knobelspiesse, et al.. (2021). Efficient multi-angle polarimetric inversion of aerosols and ocean color powered by a deep neural network forward model. Atmospheric measurement techniques. 14(6). 4083–4110. 38 indexed citations
7.
Chang, Ian, Lan Gao, S. P. Burton, et al.. (2021). Spatiotemporal Heterogeneity of Aerosol and Cloud Properties Over the Southeast Atlantic: An Observational Analysis. Geophysical Research Letters. 48(7). 15 indexed citations
8.
Cochrane, Sabrina, K. Sebastian Schmidt, Hong Chen, et al.. (2021). Biomass Burning Aerosol Heating Rates from the ORACLES 2016 and 2017 Experiments. 2 indexed citations
9.
Shinozuka, Y., Meloë Kacenelenbogen, S. P. Burton, et al.. (2020). Daytime aerosol optical depth above low-level clouds is similar to that in adjacent clear skies at the same heights: airborne observation above the southeast Atlantic. Atmospheric chemistry and physics. 20(19). 11275–11285. 7 indexed citations
10.
Puthukkudy, Anin, J. Vanderlei Martins, L. A. Remer, et al.. (2020). Retrieval of aerosol properties from Airborne Hyper-Angular Rainbow Polarimeter (AirHARP) observations during ACEPOL 2017. Atmospheric measurement techniques. 13(10). 5207–5236. 26 indexed citations
11.
Adebiyi, Adeyemi A., Paquita Zuidema, Ian Chang, S. P. Burton, & Brian Cairns. (2020). Mid-level clouds are frequent above the southeast Atlantic stratocumulus clouds. Atmospheric chemistry and physics. 20(18). 11025–11043. 16 indexed citations
12.
Vaughan, Mark, Anne Garnier, Damien Josset, et al.. (2019). CALIPSO lidar calibration at 1064 nm: version 4 algorithm. Atmospheric measurement techniques. 12(1). 51–82. 55 indexed citations
13.
Mallet, Marc, Pierre Nabat, Paquita Zuidema, et al.. (2019). Simulation of the transport, vertical distribution, optical properties and radiative impact of smoke aerosols with the ALADIN regional climate model during the ORACLES-2016 and LASIC experiments. Atmospheric chemistry and physics. 19(7). 4963–4990. 21 indexed citations
14.
Campbell, James R., Peng Xian, Anthony Bucholtz, et al.. (2019). Quantifying the direct radiative effect of absorbing aerosols for numerical weather prediction: a case study. Atmospheric chemistry and physics. 19(1). 205–218. 5 indexed citations
15.
Ottaviani, Matteo, Robert E. Foster, Alexander Gilerson, et al.. (2018). Airborne and shipborne polarimetric measurements over open ocean and coastal waters: Intercomparisons and implications for spaceborne observations. Remote Sensing of Environment. 206. 375–390. 26 indexed citations
16.
Campbell, James R., Peng Xian, Anthony Bucholtz, et al.. (2018). Quantifying the Direct Radiative Effect of Absorbing Aerosols for Numerical Weather Prediction: A case study. 1 indexed citations
17.
Liu, X., R. A. Ferrare, C. A. Hostetler, et al.. (2015). Optimal Estimation Retrievals of Aerosol Microphysical Properties from High Spectral Resolution Lidar (HSRL) and Polarimeter Data. AGU Fall Meeting Abstracts. 2015. 2 indexed citations
18.
Russell, Philip B., Meloë Kacenelenbogen, John M. Livingston, et al.. (2013). Classification of Aerosol Retrievals from Spaceborne Polarimetry Using a Multiparameter Algorithm. 2013. 1 indexed citations
19.
Russell, Philip B., Meloë Kacenelenbogen, Patrick Hamill, et al.. (2012). Aerosol Classification Using Multiparameter Retrievals from Remote Measurements on Space and Other Platforms. AGU Fall Meeting Abstracts. 2012. 1 indexed citations
20.
Burton, S. P., R. A. Ferrare, C. A. Hostetler, et al.. (2007). Planetary Boundary Layer (PBL) Heights Derived From NASA Langley Airborne High Spectral Resolution Lidar (HSRL) Data Acquired During TexAQS/GoMACCS, CHAPS, and MILAGRO. AGU Fall Meeting Abstracts. 2007.

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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