D. J. Allen

4.3k total citations
85 papers, 2.9k citations indexed

About

D. J. Allen is a scholar working on Atmospheric Science, Global and Planetary Change and Astronomy and Astrophysics. According to data from OpenAlex, D. J. Allen has authored 85 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Atmospheric Science, 58 papers in Global and Planetary Change and 17 papers in Astronomy and Astrophysics. Recurrent topics in D. J. Allen's work include Atmospheric chemistry and aerosols (66 papers), Atmospheric Ozone and Climate (43 papers) and Atmospheric and Environmental Gas Dynamics (37 papers). D. J. Allen is often cited by papers focused on Atmospheric chemistry and aerosols (66 papers), Atmospheric Ozone and Climate (43 papers) and Atmospheric and Environmental Gas Dynamics (37 papers). D. J. Allen collaborates with scholars based in United States, Germany and United Kingdom. D. J. Allen's co-authors include Kenneth Pickering, Richard B. Rood, A. R. Douglass, J.D. Hunt, Russell R. Dickerson, Christopher P. Loughner, B. N. Duncan, Georgiy Stenchikov, Da‐Lin Zhang and Anne M. Thompson 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. J. Allen

83 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. J. Allen United States 30 2.3k 1.8k 717 384 353 85 2.9k
Dieter Kley Germany 24 2.2k 0.9× 1.5k 0.8× 519 0.7× 209 0.5× 217 0.6× 34 2.5k
D. W. Tarasick Canada 41 4.2k 1.8× 3.1k 1.7× 784 1.1× 289 0.8× 480 1.4× 116 4.7k
R. S. Gao United States 42 5.8k 2.5× 4.1k 2.3× 1.9k 2.6× 363 0.9× 208 0.6× 132 6.3k
M. C. Barth United States 39 3.6k 1.5× 3.1k 1.7× 1.2k 1.7× 826 2.2× 281 0.8× 125 4.4k
Karen Cady‐Pereira United States 33 3.9k 1.7× 3.4k 1.9× 503 0.7× 557 1.5× 261 0.7× 98 4.5k
Kazuyuki Kita Japan 36 4.1k 1.8× 2.5k 1.4× 2.0k 2.8× 729 1.9× 194 0.5× 116 4.7k
J. F. Gleason United States 32 4.2k 1.8× 3.5k 2.0× 890 1.2× 458 1.2× 113 0.3× 52 4.6k
Gonzalo González Abad United States 30 2.4k 1.0× 1.5k 0.8× 1.0k 1.5× 730 1.9× 128 0.4× 92 2.9k
Kazuyuki Miyazaki Japan 30 2.4k 1.0× 1.9k 1.1× 691 1.0× 406 1.1× 462 1.3× 102 3.0k
Nicholas Jones Australia 33 3.0k 1.3× 2.8k 1.6× 309 0.4× 292 0.8× 121 0.3× 111 3.7k

Countries citing papers authored by D. J. Allen

Since Specialization
Citations

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

Fields of papers citing papers by D. J. Allen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. J. Allen

This figure shows the co-authorship network connecting the top 25 collaborators of D. J. Allen. A scholar is included among the top collaborators of D. J. Allen 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. J. Allen. D. J. Allen 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.
He, Hao, et al.. (2025). Inferring near-surface ozone production regimes: Insights from using satellite retrievals over the contiguous US. Atmospheric Environment. 352. 121208–121208. 1 indexed citations
2.
Allen, D. J., Kenneth Pickering, M. A. Avery, et al.. (2024). A CloudSat and CALIPSO‐Based Evaluation of the Effects of Thermodynamic Instability and Aerosol Loading on Amazon Basin Deep Convection and Lightning. Journal of Geophysical Research Atmospheres. 129(3). 1 indexed citations
3.
Pickering, Kenneth, M. C. Barth, M. M. Bela, et al.. (2024). Evaluation of Lightning Flash Rate Parameterizations in a Cloud‐Resolved WRF‐Chem Simulation of the 29–30 May 2012 Oklahoma Severe Supercell System Observed During DC3. Journal of Geophysical Research Atmospheres. 129(11). 2 indexed citations
4.
Pickering, Kenneth, Yunyao Li, M. C. Barth, et al.. (2024). Lightning NOx in the 29–30 May 2012 Deep Convective Clouds and Chemistry (DC3) Severe Storm and Its Downwind Chemical Consequences. Journal of Geophysical Research Atmospheres. 129(11). 2 indexed citations
5.
Allen, D. J., et al.. (2023). Machine-learning-based investigation of the variables affecting summertime lightning occurrence over the Southern Great Plains. Atmospheric chemistry and physics. 23(22). 14547–14560. 1 indexed citations
6.
Roberts, Sandra, R. J. Salawitch, Glenn M. Wolfe, et al.. (2022). Multidecadal trends in ozone chemistry in the Baltimore-Washington Region. Atmospheric Environment. 285. 119239–119239. 6 indexed citations
7.
Allen, D. J., Kenneth Pickering, Lok N. Lamsal, et al.. (2021). Observations of Lightning NOx Production From GOES‐R Post Launch Test Field Campaign Flights. Journal of Geophysical Research Atmospheres. 126(8). 13 indexed citations
8.
Allen, D. J., Kenneth Pickering, E. J. Bucsela, N. A. Krotkov, & R. H. Holzworth. (2019). Lightning NOx Production in the Tropics as Determined Using OMI NO2 Retrievals and WWLLN Stroke Data. Journal of Geophysical Research Atmospheres. 124(23). 13498–13518. 22 indexed citations
9.
Bucsela, E. J., Kenneth Pickering, D. J. Allen, R. H. Holzworth, & N. A. Krotkov. (2019). Midlatitude Lightning NOx Production Efficiency Inferred From OMI and WWLLN Data. Journal of Geophysical Research Atmospheres. 124(23). 13475–13497. 34 indexed citations
10.
Kang, Daiwen, Kenneth Pickering, D. J. Allen, et al.. (2019). Simulating lightning NO production in CMAQv5.2: evolution of scientific updates. Geoscientific model development. 12(7). 3071–3083. 26 indexed citations
11.
Kang, Daiwen, Kristen M. Foley, Rohit Mathur, et al.. (2019). Simulating Lightning NO X Production in CMAQv5.2 Using mNLDN, hNLDN, and pNLDN Schemes: Performance Evaluation. 2 indexed citations
12.
Li, Yunyao, Kenneth Pickering, D. J. Allen, et al.. (2017). Evaluation of deep convective transport in storms from different convective regimes during the DC3 field campaign using WRF‐Chem with lightning data assimilation. Journal of Geophysical Research Atmospheres. 122(13). 7140–7163. 12 indexed citations
13.
Choi, Hyun-Deok, Hongyu Liu, J. H. Crawford, et al.. (2017). Global O 3 –CO correlations in a chemistry and transport model during July–August: evaluation with TES satellite observations and sensitivity to input meteorological data and emissions. Atmospheric chemistry and physics. 17(13). 8429–8452. 12 indexed citations
14.
Loughner, Christopher P., D. J. Allen, Russell R. Dickerson, Da‐Lin Zhang, & Kenneth Pickering. (2015). 1 INVESTIGATING THE USE OF A HIGH RESOLUTION WRF-URBAN CANOPY MODEL SIMULATION WITH CMAQ.
15.
Pickering, Kenneth, M. C. Barth, A. J. Weinheimer, et al.. (2014). A WRF-Chem Flash Rate Parameterization Scheme and LNOx Analysis of the 29-30 May 2012 Convective Event in Oklahoma During DC3. elib (German Aerospace Center). 2013. 1 indexed citations
16.
Pickering, Kenneth, M. C. Barth, M. M. Bela, et al.. (2014). An Analysis of Deep Convective Transport in May 21, 2012 DC3 Alabama Thunderstorms Using Results from WRF-Chem Simulations. 2014 AGU Fall Meeting. 2014. 1 indexed citations
17.
Appel, K. Wyat, Kristen M. Foley, Jesse O. Bash, et al.. (2011). A multi-resolution assessment of the Community Multiscale Air Quality (CMAQ) model v4.7 wet deposition estimates for 2002–2006. Geoscientific model development. 4(2). 357–371. 95 indexed citations
18.
Allen, D. J., et al.. (2008). Impact of lightning NO emissions on North American photochemistry as determined using the GMI model. AGUFM. 2008. 1 indexed citations
19.
Pickering, Kenneth, Lesley Ott, Alex J. DeCaria, et al.. (2006). Using Results from Cloud-resolving Models to Improve Lightning NOx Parameterizations for Global Chemical Transport and Climate Models. AGU Spring Meeting Abstracts. 2007. 4 indexed citations
20.
Allen, D. J., et al.. (2003). Evaluation of pollutant outflow and CO sources during TRACE-P using model-calculated, aircraft-based, and MOPITT-derived CO concentrations. AGU Fall Meeting Abstracts. 2003. 4 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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