Jeff McQueen

963 total citations
25 papers, 495 citations indexed

About

Jeff McQueen is a scholar working on Atmospheric Science, Global and Planetary Change and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Jeff McQueen has authored 25 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Atmospheric Science, 17 papers in Global and Planetary Change and 7 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Jeff McQueen's work include Atmospheric chemistry and aerosols (19 papers), Atmospheric and Environmental Gas Dynamics (12 papers) and Air Quality and Health Impacts (7 papers). Jeff McQueen is often cited by papers focused on Atmospheric chemistry and aerosols (19 papers), Atmospheric and Environmental Gas Dynamics (12 papers) and Air Quality and Health Impacts (7 papers). Jeff McQueen collaborates with scholars based in United States, Hungary and Ireland. Jeff McQueen's co-authors include Youhua Tang, Georg Grell, P. Lee, S. A. McKeen, Steven E. Peckham, Pius Lee, James M. Wilczak, Irina V. Djalalova, Ivanka Štajner and Li Pan and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Atmospheric Environment and Monthly Weather Review.

In The Last Decade

Jeff McQueen

25 papers receiving 479 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeff McQueen United States 13 413 291 199 188 31 25 495
Liji M. David India 12 483 1.2× 355 1.2× 170 0.9× 317 1.7× 29 0.9× 22 687
Chongshui Gong China 12 442 1.1× 353 1.2× 132 0.7× 259 1.4× 21 0.7× 26 504
Chune Shi China 16 524 1.3× 422 1.5× 361 1.8× 381 2.0× 37 1.2× 37 749
Clinton P. MacDonald United States 8 344 0.8× 283 1.0× 133 0.7× 212 1.1× 33 1.1× 19 437
Xinghong Cheng China 13 376 0.9× 250 0.9× 206 1.0× 288 1.5× 56 1.8× 34 530
Bingui Wu China 12 413 1.0× 361 1.2× 232 1.2× 145 0.8× 14 0.5× 31 513
Gerrit Kuhlmann Switzerland 14 430 1.0× 401 1.4× 154 0.8× 135 0.7× 30 1.0× 41 556
René Parra Ecuador 11 382 0.9× 230 0.8× 180 0.9× 256 1.4× 70 2.3× 38 538
Wenjun Qu China 12 613 1.5× 410 1.4× 140 0.7× 396 2.1× 60 1.9× 23 681

Countries citing papers authored by Jeff McQueen

Since Specialization
Citations

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

Fields of papers citing papers by Jeff McQueen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeff McQueen. 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 Jeff McQueen. The network helps show where Jeff McQueen may publish in the future.

Co-authorship network of co-authors of Jeff McQueen

This figure shows the co-authorship network connecting the top 25 collaborators of Jeff McQueen. A scholar is included among the top collaborators of Jeff McQueen 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 Jeff McQueen. Jeff McQueen 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.
Campbell, Patrick, Youhua Tang, Pius Lee, et al.. (2022). Development and evaluation of an advanced National Air Quality Forecasting Capability using the NOAA Global Forecast System version 16. Geoscientific model development. 15(8). 3281–3313. 15 indexed citations
2.
Zhang, Li, Raffaele Montuoro, S. A. McKeen, et al.. (2022). Development and evaluation of the Aerosol Forecast Member in the National Center for Environment Prediction (NCEP)'s Global Ensemble Forecast System (GEFS-Aerosols v1). Geoscientific model development. 15(13). 5337–5369. 16 indexed citations
4.
Zhang, Li, Raffaele Montuoro, S. A. McKeen, et al.. (2021). Development and Evaluation of the Aerosol Forecast Member in NCEP’s Global Ensemble Forecast System (GEFS-Aerosols v1). 3 indexed citations
5.
Chen, Xiaoyang, Yang Zhang, Kai Wang, et al.. (2021). Evaluation of the offline-coupled GFSv15–FV3–CMAQv5.0.2 in support of the next-generation National Air Quality Forecast Capability over the contiguous United States. Geoscientific model development. 14(6). 3969–3993. 5 indexed citations
6.
Darmenov, Anton, Peng Xian, Jeffrey S. Reid, et al.. (2020). The International Cooperative for Aerosol Prediction (ICAP) Perspective on the Massive June 2020 Saharan Dust Event. AGU Fall Meeting Abstracts. 2020. 1 indexed citations
7.
8.
Wang, Jun, Partha S. Bhattacharjee, Vijay Tallapragada, et al.. (2018). The implementation of NEMS GFS Aerosol Component (NGAC) Version 2.0 for global multispecies forecasting at NOAA/NCEP – Part 1: Model descriptions. Geoscientific model development. 11(6). 2315–2332. 19 indexed citations
9.
Lee, Pius, Rick Saylor, & Jeff McQueen. (2018). Air Quality Monitoring and Forecasting. Atmosphere. 9(3). 89–89. 8 indexed citations
10.
Chai, Tianfeng, Hyun Cheol Kim, P. Lee, et al.. (2013). Evaluation of the United States National Air Quality Forecast Capability experimental real-time predictions in 2010 using Air Quality System ozone and NO 2 measurements. Geoscientific model development. 6(5). 1831–1850. 64 indexed citations
11.
Lu, Cheng‐Hsuan, Haiyan Huang, Yanping Hou, et al.. (2010). Development of global aerosol forecasting system at NCEP. AGU Fall Meeting Abstracts. 2010. 1 indexed citations
12.
Djalalova, Irina V., James M. Wilczak, S. A. McKeen, et al.. (2009). Ensemble and bias-correction techniques for air quality model forecasts of surface O3 and PM2.5 during the TEXAQS-II experiment of 2006. Atmospheric Environment. 44(4). 455–467. 57 indexed citations
13.
Eder, Brian K., Daiwen Kang, S. Trivikrama Rao, et al.. (2009). Using National Air Quality Forecast Guidance to Develop Local Air Quality Index Forecasts. Bulletin of the American Meteorological Society. 91(3). 313–326. 27 indexed citations
14.
Lee, Pius, Youhua Tang, Daiwen Kang, et al.. (2008). Impact of consistent boundary layer mixing approaches between NAM and CMAQ. Environmental Fluid Mechanics. 9(1). 23–42. 7 indexed citations
15.
Lee, Pius, Daiwen Kang, Jeff McQueen, et al.. (2008). Impact of Domain Size on Modeled Ozone Forecast for the Northeastern United States. Journal of Applied Meteorology and Climatology. 47(2). 443–461. 15 indexed citations
16.
Gombos, Daniel, James A. Hansen, Jun Du, & Jeff McQueen. (2007). Theory and Applications of the Minimum Spanning Tree Rank Histogram. Monthly Weather Review. 135(4). 1490–1505. 12 indexed citations
17.
Zhou, Binbin, Jun Du, Brad S. Ferrier, Jeff McQueen, & Geoff DiMego. (2007). Numerical Forecast of Fog - Central Solutions. 9 indexed citations
18.
Monache, Luca Delle, Georg Grell, S. A. McKeen, et al.. (2006). A Kalman-filter bias correction of ozone deterministic, ensemble-averaged, and probabilistic forecasts. University of North Texas Digital Library (University of North Texas). 8 indexed citations
19.
Zhou, Binbin, Jun Du, Jeff McQueen, et al.. (2004). An introduction to NCEP SREF aviation project. 11th Conference on Aviation, Range, and Aerospace and the 22nd Conference on Severe Local Storms. 7 indexed citations
20.
Du, Jun, Jeff McQueen, Geoff DiMego, et al.. (2004). 21.3 The NOAA/NWS/NCEP Short Range Ensemble Forecast (SREF) system: Evaluation of an initial condition vs multiple model physics ensemble approach. Bulletin of the American Meteorological Society. 2329–2338. 23 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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