Paul E. Bieringer

649 total citations
28 papers, 465 citations indexed

About

Paul E. Bieringer is a scholar working on Environmental Engineering, Atmospheric Science and Global and Planetary Change. According to data from OpenAlex, Paul E. Bieringer has authored 28 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Environmental Engineering, 17 papers in Atmospheric Science and 11 papers in Global and Planetary Change. Recurrent topics in Paul E. Bieringer's work include Wind and Air Flow Studies (19 papers), Meteorological Phenomena and Simulations (14 papers) and Climate variability and models (6 papers). Paul E. Bieringer is often cited by papers focused on Wind and Air Flow Studies (19 papers), Meteorological Phenomena and Simulations (14 papers) and Climate variability and models (6 papers). Paul E. Bieringer collaborates with scholars based in United States, United Kingdom and Japan. Paul E. Bieringer's co-authors include Peter S. Ray, Saúl Lozano‐Fuentes, Andrew J. Monaghan, Daniel F. Steinhoff, Lars Eisen, Mary H. Hayden, Yu Xie, Steven E. Koch, M. Chan and Marilyn M. Wolfson and has published in prestigious journals such as Atmospheric Environment, Monthly Weather Review and Bulletin of the American Meteorological Society.

In The Last Decade

Paul E. Bieringer

28 papers receiving 445 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul E. Bieringer United States 10 223 183 160 116 64 28 465
Alejandro Casallas Colombia 11 89 0.4× 127 0.7× 99 0.6× 169 1.5× 99 1.5× 23 455
R. Damoah United States 11 495 2.2× 504 2.8× 18 0.1× 135 1.2× 95 1.5× 19 706
E. S. Kasischke United States 10 106 0.5× 277 1.5× 189 1.2× 36 0.3× 31 0.5× 27 475
Marc Despinoy France 10 67 0.3× 126 0.7× 34 0.2× 67 0.6× 38 0.6× 18 380
K. C. Gouda India 13 200 0.9× 287 1.6× 95 0.6× 57 0.5× 39 0.6× 54 498
Andrea Vajda Finland 10 175 0.8× 156 0.9× 58 0.4× 16 0.1× 23 0.4× 27 329
Ernest O. Asare United States 11 165 0.7× 245 1.3× 73 0.5× 112 1.0× 90 1.4× 21 530
Ardhasena Sopaheluwakan Indonesia 14 299 1.3× 445 2.4× 78 0.5× 47 0.4× 14 0.2× 96 782
Francisco José Cuesta‐Valero Canada 9 166 0.7× 117 0.6× 33 0.2× 36 0.3× 48 0.8× 22 297
R. E. Mickle Canada 14 259 1.2× 257 1.4× 171 1.1× 33 0.3× 8 0.1× 29 554

Countries citing papers authored by Paul E. Bieringer

Since Specialization
Citations

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

Fields of papers citing papers by Paul E. Bieringer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul E. Bieringer

This figure shows the co-authorship network connecting the top 25 collaborators of Paul E. Bieringer. A scholar is included among the top collaborators of Paul E. Bieringer 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 Paul E. Bieringer. Paul E. Bieringer 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.
Bieringer, Paul E.. (2018). Large-Eddy Simulation (LES) Based System for Producing Coupled Urban and Indoor Airborne Contaminant Transport and Dispersion Solutions. 1 indexed citations
2.
Bieringer, Paul E., et al.. (2017). Paradigms and commonalities in atmospheric source term estimation methods. Atmospheric Environment. 156. 102–112. 36 indexed citations
3.
Steinhoff, Daniel F., Andrew J. Monaghan, Lars Eisen, et al.. (2016). WHATCH’EM: A Weather-Driven Energy Balance Model for Determining Water Height and Temperature in Container Habitats for Aedes aegypti. Earth Interactions. 20(24). 1–31. 4 indexed citations
4.
Nelson, Matthew, et al.. (2015). A Case Study of the Weather Research and Forecasting Model Applied to the Joint Urban 2003 Tracer Field Experiment. Part 1: Wind and Turbulence. Boundary-Layer Meteorology. 158(2). 285–309. 14 indexed citations
5.
Kim, Minsik, R. Ohba, Shinsuke Kato, et al.. (2015). A source term estimation method for a nuclear accident using atmospheric dispersion models. International Journal of Environment and Pollution. 58(1/2). 39–39. 4 indexed citations
6.
Bieringer, Paul E., et al.. (2015). Automated source term and wind parameter estimation for atmospheric transport and dispersion applications. Atmospheric Environment. 122. 206–219. 27 indexed citations
7.
Kosović, Branko, et al.. (2014). Eulerian dispersion modeling with WRF-LES of plume impingement in neutrally and stably stratified turbulent boundary layers. Atmospheric Environment. 99. 571–581. 13 indexed citations
8.
Platt, Nathan, et al.. (2014). Comparison of hazard area and casualty predictions of a small-scale chemical attack using various toxic load toxicity models. International Journal of Environment and Pollution. 54(2/3/4). 222–222. 2 indexed citations
9.
Eisen, Lars, Andrew J. Monaghan, Saúl Lozano‐Fuentes, et al.. (2014). The Impact of Temperature on the Bionomics ofAedes(Stegomyia)aegypti, With Special Reference to the Cool Geographic Range Margins. Journal of Medical Entomology. 51(3). 496–516. 117 indexed citations
10.
Bieringer, Paul E., et al.. (2013). A method for targeting air samplers for facility monitoring in an urban environment. Atmospheric Environment. 80. 1–12. 6 indexed citations
11.
Bieringer, Paul E., et al.. (2012). The Effect of Topographic Variability on Initial Condition Sensitivity of Low-Level Wind Forecasts. Part I: Experiments Using Idealized Terrain. Monthly Weather Review. 141(7). 2137–2155. 1 indexed citations
12.
Bieringer, Paul E., Steven R. Hanna, George S. Young, et al.. (2012). Methods For Estimating The Atmospheric Radiation Release From The Fukushima Dai-Ichi Nuclear Power Plant. Bulletin of the American Meteorological Society. 94(1). ES1–ES4. 9 indexed citations
13.
14.
Bieringer, Paul E., et al.. (2012). Urban transport and dispersion model sensitivity to wind direction uncertainty and source location. Atmospheric Environment. 64. 25–39. 17 indexed citations
15.
Platt, Nathan, et al.. (2011). H14-179 USE OF THE ENSEMBLE-MEAN PLUME VERSUS INDIVIDUAL PLUME REALIZATIONS FOR TOXIC LOAD MODELING. 2 indexed citations
16.
Xie, Yu, Steven E. Koch, John A. McGinley, et al.. (2011). A Space–Time Multiscale Analysis System: A Sequential Variational Analysis Approach. Monthly Weather Review. 139(4). 1224–1240. 100 indexed citations
17.
Bieringer, Paul E., et al.. (2011). Fusion of chemical, biological, and meteorological observations for agent source term estimation and hazard refinement. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8064. 80640H–80640H. 2 indexed citations
18.
Bieringer, Paul E.. (2004). Commercial Aviation Encounters with Severe Low Altitude Turbulence. 3 indexed citations
19.
Ray, Peter S., et al.. (2003). An Improved Estimate of Tornado Occurrence in the Central Plains of the United States. Monthly Weather Review. 131(5). 1026–1031. 23 indexed citations
20.
Bieringer, Paul E. & Peter S. Ray. (1996). A Comparison of Tornado Warning Lead Times with and without NEXRAD Doppler Radar. Weather and Forecasting. 11(1). 47–52. 36 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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