R. A. Ferrare

20.7k total citations · 3 hit papers
243 papers, 10.5k citations indexed

About

R. A. Ferrare is a scholar working on Global and Planetary Change, Atmospheric Science and Health, Toxicology and Mutagenesis. According to data from OpenAlex, R. A. Ferrare has authored 243 papers receiving a total of 10.5k indexed citations (citations by other indexed papers that have themselves been cited), including 231 papers in Global and Planetary Change, 224 papers in Atmospheric Science and 13 papers in Health, Toxicology and Mutagenesis. Recurrent topics in R. A. Ferrare's work include Atmospheric aerosols and clouds (210 papers), Atmospheric chemistry and aerosols (177 papers) and Atmospheric and Environmental Gas Dynamics (132 papers). R. A. Ferrare is often cited by papers focused on Atmospheric aerosols and clouds (210 papers), Atmospheric chemistry and aerosols (177 papers) and Atmospheric and Environmental Gas Dynamics (132 papers). R. A. Ferrare collaborates with scholars based in United States, Germany and United Kingdom. R. A. Ferrare's co-authors include C. A. Hostetler, S. H. Melfi, David N. Whiteman, S. P. Burton, Johnathan W. Hair, Mark Vaughan, Arlindo da Silva, Virginie Buchard, Peter R. Colarco and Cynthia A. Randles 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

R. A. Ferrare

224 papers receiving 10.1k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The MERRA-2 Aerosol Reanalysis, 1980 Onward. Part I: System Description and Data Assimilation Evaluation

2017 913 citations Arlindo da Silva, Virginie Buchard et al. profile →
The CALIPSO Automated Aerosol Classification and Lidar Ratio Selection Algorithm

2009 798 citations Ali Omar, Mark Vaughan et al. profile →
The MERRA-2 Aerosol Reanalysis, 1980 Onward. Part II: Evaluation and Case Studies

2017 591 citations Virginie Buchard, Arlindo da Silva et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
R. A. Ferrare United States	51	9.2k	9.1k	1.5k	861	418	243	10.5k
P. K. Bhartia United States	56	10.4k 1.1×	11.5k 1.3×	1.0k 0.7×	701 0.8×	288 0.7×	232	12.4k
David M. Winker United States	60	16.4k 1.8×	15.8k 1.7×	1.8k 1.2×	948 1.1×	1.1k 2.7×	203	18.3k
Michael Iacono United States	21	11.5k 1.3×	12.6k 1.4×	913 0.6×	2.0k 2.3×	218 0.5×	49	14.3k
James A. Coakley United States	40	6.7k 0.7×	7.0k 0.8×	946 0.6×	454 0.5×	433 1.0×	106	8.8k
Stefan Kinne Germany	41	9.8k 1.1×	10.3k 1.1×	1.6k 1.1×	521 0.6×	371 0.9×	87	11.3k
D. A. Chu United States	28	6.2k 0.7×	6.3k 0.7×	1.4k 0.9×	763 0.9×	172 0.4×	50	7.1k
Mark W. Shephard United States	39	7.3k 0.8×	8.0k 0.9×	867 0.6×	1.2k 1.3×	72 0.2×	101	9.0k
P. F. Levelt Netherlands	40	6.5k 0.7×	7.2k 0.8×	2.2k 1.4×	1.4k 1.6×	66 0.2×	145	8.9k
Jacques Pelon France	44	6.2k 0.7×	6.1k 0.7×	306 0.2×	542 0.6×	488 1.2×	194	6.9k
Mark Vaughan United States	53	12.2k 1.3×	11.4k 1.3×	538 0.4×	495 0.6×	767 1.8×	167	12.8k

Countries citing papers authored by R. A. Ferrare

Since Specialization

Citations

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

Fields of papers citing papers by R. A. Ferrare

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. A. Ferrare. 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 R. A. Ferrare. The network helps show where R. A. Ferrare may publish in the future.

Co-authorship network of co-authors of R. A. Ferrare

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

All Works

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20 of 20 papers shown

Gao, Lan, R. A. Ferrare, S. P. Burton, et al.. (2025). Aerosol effective radius governs the relationship between cloud condensation nuclei (CCN) concentration and aerosol backscatter. Atmospheric chemistry and physics. 25(20). 13747–13768.

Choi, Yonghoon, Ewan Crosbie, Joshua P. DiGangi, et al.. (2024). Bridging gas and aerosol properties between the northeastern US and Bermuda: analysis of eight transit flights. Atmospheric chemistry and physics. 24(18). 10385–10408. 3 indexed citations

Schlosser, Joseph S., David Painemal, Brian Cairns, et al.. (2024). Retrievals of aerosol optical depth over the western North Atlantic Ocean during ACTIVATE. Atmospheric measurement techniques. 17(9). 2739–2759. 1 indexed citations

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

Gao, Lan, Jens Redemann, Feng Xu, et al.. (2023). Use of lidar aerosol extinction and backscatter coefficients to estimate cloud condensation nuclei (CCN) concentrations in the southeast Atlantic. Atmospheric measurement techniques. 16(7). 2037–2054. 7 indexed citations

Ferrare, R. A., S. P. Burton, Johnathan W. Hair, et al.. (2022). Vertical structure of biomass burning aerosol transported over the southeast Atlantic Ocean. Atmospheric chemistry and physics. 22(15). 9859–9876. 2 indexed citations

Collow, Allison B. Marquardt, Virginie Buchard, Peter R. Colarco, et al.. (2022). An evaluation of biomass burning aerosol mass, extinction, and size distribution in GEOS using observations from CAMP ² Ex. Atmospheric chemistry and physics. 22(24). 16091–16109. 4 indexed citations

Painemal, David, Fu‐Lung Chang, R. A. Ferrare, et al.. (2020). Reducing uncertainties in satellite estimates of aerosol–cloud interactions over the subtropical ocean by integrating vertically resolved aerosol observations. Atmospheric chemistry and physics. 20(12). 7167–7177. 20 indexed citations

Fu, Guangliang, Otto Hasekamp, Jeroen Rietjens, et al.. (2020). Aerosol retrievals from different polarimeters during the ACEPOL campaign using a common retrieval algorithm. Atmospheric measurement techniques. 13(2). 553–573. 37 indexed citations

10.

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

11.

Sawamura, Patrícia, Richard H. Moore, S. P. Burton, et al.. (2017). HSRL-2 aerosol optical measurements and microphysical retrievals vs. airborne in situ measurements during DISCOVER-AQ 2013: an intercomparison study. Atmospheric chemistry and physics. 17(11). 7229–7243. 42 indexed citations

12.

Burton, S. P., Eduard Chemyakin, Xu Liu, et al.. (2016). Information content and sensitivity of the 3 β + 2 α lidar measurement system for aerosol microphysical retrievals. Atmospheric measurement techniques. 9(11). 5555–5574. 49 indexed citations

13.

Scarino, Amy Jo, J. D. Fast, S. P. Burton, et al.. (2014). Comparison of mixed layer heights from airborne high spectral resolution lidar, ground-based measurements, and the WRF-Chem model during CalNex and CARES. Atmospheric chemistry and physics. 14(11). 5547–5560. 59 indexed citations

14.

Hostetler, C. A., S. P. Burton, R. A. Ferrare, et al.. (2013). Multi-wavelength Airborne High Spectral Resolution Lidar Observations of Aerosol Above Clouds in California during DISCOVER-AQ. AGU Fall Meeting Abstracts. 2013. 1 indexed citations

15.

Burton, S. P., R. A. Ferrare, Mark Vaughan, et al.. (2013). Aerosol classification from airborne HSRL and comparisons with the CALIPSO vertical feature mask. Atmospheric measurement techniques. 6(5). 1397–1412. 194 indexed citations

16.

Ottaviani, Matteo, Brian Cairns, Jacek Chowdhary, et al.. (2010). Polarimetric Retrievals of Surface and Aerosol Properties in the Region Affected by the Deepwater Horizon Oil Spill. AGUFM. 2010. 1 indexed citations

17.

Molina, L. T., S. Madronich, J. S. Gaffney, et al.. (2010). An overview of the MILAGRO 2006 Campaign: Mexico City emissions and their transport and transformation. Atmospheric chemistry and physics. 10(18). 8697–8760. 298 indexed citations

18.

Melfi, S. H., David N. Whiteman, R. A. Ferrare, et al.. (1992). Atmospheric water vapor measurements during the SPECTRE campaign using an advanced Raman lidar. Conference on Lasers and Electro-Optics. 1 indexed citations

19.

Melfi, S. H., David N. Whiteman, R. A. Ferrare, & Francis J. Schmidlin. (1990). Comparison of Lidar and Radiosonde Measurements of Atmospheric Moisture Profiles. TuC2–TuC2. 1 indexed citations

20.

Whiteman, David N., S. H. Melfi, Thomas J. McGee, et al.. (1990). Lidar Data Validation Techniques. WD21–WD21. 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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