D. E. Flittner

3.1k total citations
57 papers, 1.4k citations indexed

About

D. E. Flittner is a scholar working on Atmospheric Science, Global and Planetary Change and Astronomy and Astrophysics. According to data from OpenAlex, D. E. Flittner has authored 57 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Atmospheric Science, 35 papers in Global and Planetary Change and 14 papers in Astronomy and Astrophysics. Recurrent topics in D. E. Flittner's work include Atmospheric Ozone and Climate (42 papers), Atmospheric chemistry and aerosols (33 papers) and Atmospheric and Environmental Gas Dynamics (25 papers). D. E. Flittner is often cited by papers focused on Atmospheric Ozone and Climate (42 papers), Atmospheric chemistry and aerosols (33 papers) and Atmospheric and Environmental Gas Dynamics (25 papers). D. E. Flittner collaborates with scholars based in United States, Canada and France. D. E. Flittner's co-authors include Benjamin M. Herman, P. K. Bhartia, Scott J. Janz, Yongxiang Hu, Ralph E. Kuehn, Mark Vaughan, Jianping Huang, David M. Winker, Bing Lin and E. Hilsenrath and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Geophysical Research Letters and Journal of the Atmospheric Sciences.

In The Last Decade

D. E. Flittner

51 papers receiving 1.3k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
D. E. Flittner 1.2k 1.1k 159 159 61 57 1.4k
Anne Garnier 1.4k 1.1× 1.5k 1.3× 111 0.7× 106 0.7× 33 0.5× 60 1.6k
Piet Stammes 1.1k 0.9× 1.2k 1.0× 75 0.5× 95 0.6× 43 0.7× 49 1.4k
Roland Neuber 1.6k 1.3× 1.4k 1.3× 169 1.1× 51 0.3× 50 0.8× 104 1.7k
Daniel Pérez‐Ramírez 1.1k 0.9× 1.1k 1.0× 84 0.5× 110 0.7× 34 0.6× 58 1.3k
David P. Donovan 1.6k 1.3× 1.6k 1.4× 129 0.8× 80 0.5× 17 0.3× 86 1.8k
David P. Kratz 1.5k 1.2× 1.5k 1.3× 207 1.3× 233 1.5× 56 0.9× 64 1.8k
Maria Cadeddu 1.3k 1.1× 1.1k 1.0× 42 0.3× 80 0.5× 68 1.1× 60 1.5k
Klaus P. Hoinka 1.2k 1.0× 1.1k 0.9× 170 1.1× 43 0.3× 132 2.2× 43 1.4k
M. P. McCormick 1.6k 1.3× 1.5k 1.4× 139 0.9× 42 0.3× 30 0.5× 37 1.8k
S. Hannon 1.4k 1.1× 1.3k 1.1× 60 0.4× 187 1.2× 59 1.0× 35 1.5k

Countries citing papers authored by D. E. Flittner

Since Specialization
Citations

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

Fields of papers citing papers by D. E. Flittner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. E. Flittner. 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 D. E. Flittner. The network helps show where D. E. Flittner may publish in the future.

Co-authorship network of co-authors of D. E. Flittner

This figure shows the co-authorship network connecting the top 25 collaborators of D. E. Flittner. A scholar is included among the top collaborators of D. E. Flittner 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 D. E. Flittner. D. E. Flittner 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.
Chong, Heesung, D. E. Flittner, James L. Carr, et al.. (2026). Algorithm Theoretical Basis for Version 3 TEMPO Level 0–1 Processor. Earth and Space Science. 13(2). 1 indexed citations
2.
Hou, Weizhen, Heesung Chong, D. E. Flittner, et al.. (2026). Spectral Calibration for TEMPO (Tropospheric Emissions: Monitoring of Pollution): Algorithm Description and Trending of Spectral Performance. Earth and Space Science. 13(2). 1 indexed citations
3.
Knowland, K. Emma, Pamela Wales, Krzysztof Wargan, et al.. (2025). Stratospheric Water Vapor Beyond NASA's Aura MLS: Assimilating SAGE III/ISS Profiles for a Continued Climate Record. Geophysical Research Letters. 52(8). 1 indexed citations
4.
Carr, James L., Heesung Chong, Xiong Liu, et al.. (2025). TEMPO at Night. Earth and Space Science. 12(10). 1 indexed citations
5.
Natarajan, M., Robert Damadeo, & D. E. Flittner. (2023). Solar occultation measurement of mesospheric ozone by SAGE III/ISS: impact of variations along the line of sight caused by photochemistry. Atmospheric measurement techniques. 16(1). 75–87. 3 indexed citations
6.
Strode, Sarah A., Ghassan Taha, Luke D. Oman, et al.. (2022). SAGE III/ISS ozone and NO 2 validation using diurnal scaling factors. Atmospheric measurement techniques. 15(20). 6145–6161. 6 indexed citations
7.
Knepp, Travis N., L. W. Thomason, Mahesh Kovilakam, et al.. (2022). Identification of smoke and sulfuric acid aerosol in SAGE III/ISS extinction spectra. Atmospheric measurement techniques. 15(18). 5235–5260. 11 indexed citations
8.
Knepp, Travis N., L. W. Thomason, Mahesh Kovilakam, et al.. (2021). Identification of Smoke and Sulfuric Acid Aerosol in SAGE III/ISS Extinction Spectra Following the 2019 Raikoke Eruption. 1 indexed citations
9.
Bourassa, Adam, Daniel Zawada, Douglas A. Degenstein, et al.. (2021). Accounting for the photochemical variation in stratospheric NO 2 in the SAGE III/ISS solar occultation retrieval. Atmospheric measurement techniques. 14(1). 557–566. 10 indexed citations
10.
Davis, Sean, Robert Damadeo, D. E. Flittner, et al.. (2020). Validation of SAGE III/ISS Solar Water Vapor Data With Correlative Satellite and Balloon‐Borne Measurements. Journal of Geophysical Research Atmospheres. 126(2). 13 indexed citations
11.
12.
Knepp, Travis N., L. W. Thomason, Robert Damadeo, et al.. (2020). Evaluation of a method for converting Stratospheric Aerosol and Gas Experiment (SAGE) extinction coefficients to backscatter coefficients for intercomparison with lidar observations. Atmospheric measurement techniques. 13(8). 4261–4276. 5 indexed citations
13.
Torres, Omar, et al.. (2018). Multi-sensor view of the Stratospheric Carbonaceous Aerosol Layer from 2017 Boreal Fires in Canada. AGUFM. 2018.
14.
Flittner, D. E., et al.. (2018). Stratospheric Aerosol and Gas Experiment III installed on the International Space Station (SAGE III/ISS): Overview. EGU General Assembly Conference Abstracts. 5483.
15.
Knepp, Travis N., Richard Querel, P. V. Johnston, et al.. (2017). Intercomparison of Pandora stratospheric NO 2 slant column product with the NDACC-certified M07 spectrometer in Lauder, New Zealand. Atmospheric measurement techniques. 10(11). 4363–4372. 3 indexed citations
16.
Nicks, D. K., Brian Baker, Brent P. Canova, et al.. (2017). Remote Sensing of Air Pollution from Geo with GEMS and TEMPO. AGU Fall Meeting Abstracts. 2017. 1 indexed citations
17.
Loughman, Robert, et al.. (2015). Gauss–Seidel limb scattering (GSLS) radiative transfer model development in support of the Ozone Mapping and Profiler Suite (OMPS) limb profiler mission. Atmospheric chemistry and physics. 15(6). 3007–3020. 19 indexed citations
18.
Adams, C., Adam Bourassa, C. A. McLinden, et al.. (2013). Characterization of Odin-OSIRIS ozone profiles with the SAGE II dataset. Atmospheric measurement techniques. 6(5). 1447–1459. 14 indexed citations
19.
Chance, K., et al.. (2012). Tropospheric Emissions: Monitoring of Pollution (TEMPO). AGUFM. 2012. 1 indexed citations
20.
Hu, Yongxiang, Mark Vaughan, Charles R. McClain, et al.. (2007). Global statistics of liquid water content and effective number concentration of water clouds over ocean derived from combined CALIPSO and MODIS measurements. Atmospheric chemistry and physics. 7(12). 3353–3359. 49 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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