Dan Bergmann

5.2k total citations
16 papers, 449 citations indexed

About

Dan Bergmann is a scholar working on Atmospheric Science, Global and Planetary Change and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Dan Bergmann has authored 16 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Atmospheric Science, 13 papers in Global and Planetary Change and 4 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Dan Bergmann's work include Atmospheric chemistry and aerosols (14 papers), Atmospheric Ozone and Climate (10 papers) and Atmospheric and Environmental Gas Dynamics (7 papers). Dan Bergmann is often cited by papers focused on Atmospheric chemistry and aerosols (14 papers), Atmospheric Ozone and Climate (10 papers) and Atmospheric and Environmental Gas Dynamics (7 papers). Dan Bergmann collaborates with scholars based in United States, United Kingdom and Japan. Dan Bergmann's co-authors include David B. Considine, Mian Chin, Philip J. Rasch, Huisheng Bian, Minghuai Wang, Joyce E. Penner, S. E. Strahan, José M. Rodríguez, Xiaohong Liu and Yan Feng and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Geophysical Research Letters.

In The Last Decade

Dan Bergmann

16 papers receiving 436 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dan Bergmann United States 10 368 322 117 32 15 16 449
Sung‐Nam Oh South Korea 8 340 0.9× 308 1.0× 141 1.2× 50 1.6× 16 1.1× 27 451
T. L. Anderson United States 6 396 1.1× 332 1.0× 147 1.3× 23 0.7× 12 0.8× 8 448
K. Lapina United States 8 358 1.0× 268 0.8× 97 0.8× 32 1.0× 14 0.9× 9 413
P. Chamard Italy 9 431 1.2× 440 1.4× 49 0.4× 37 1.2× 13 0.9× 12 511
Robert Höller Austria 9 353 1.0× 303 0.9× 140 1.2× 39 1.2× 28 1.9× 22 487
A. L. Correia Brazil 8 256 0.7× 234 0.7× 75 0.6× 18 0.6× 8 0.5× 21 317
Rinus Scheele Netherlands 9 475 1.3× 446 1.4× 61 0.5× 26 0.8× 13 0.9× 11 559
Dashdondog Batdorj Japan 8 175 0.5× 159 0.5× 112 1.0× 42 1.3× 10 0.7× 13 302
B. Abish India 10 489 1.3× 466 1.4× 158 1.4× 53 1.7× 15 1.0× 15 554
Mona Johnsrud Norway 10 716 1.9× 666 2.1× 107 0.9× 42 1.3× 19 1.3× 16 766

Countries citing papers authored by Dan Bergmann

Since Specialization
Citations

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

Fields of papers citing papers by Dan Bergmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Bergmann

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

All Works

16 of 16 papers shown
1.
Guilderson, T. P., Philip Cameron‐Smith, Dan Bergmann, et al.. (2016). Measurements and modeling of contemporary radiocarbon in the stratosphere. Geophysical Research Letters. 43(3). 1399–1406. 8 indexed citations
2.
Lucas, D. D., Camille Yver Kwok, Philip Cameron‐Smith, et al.. (2015). Designing optimal greenhouse gas observing networks that consider performance and cost. SHILAP Revista de lepidopterología. 4(1). 121–137. 21 indexed citations
3.
Anenberg, Susan C., J. Jason West, Hongbin Yu, et al.. (2014). Impacts of intercontinental transport of anthropogenic fine particulate matter on human mortality. Air Quality Atmosphere & Health. 7(3). 369–379. 59 indexed citations
4.
Locatelli, Robin, Philippe Bousquet, Frédéric Chevallier, et al.. (2013). Impact of transport model errors on the global and regional methane emissions estimated by inverse modelling. Atmospheric chemistry and physics. 13(19). 9917–9937. 45 indexed citations
5.
6.
Hsu, Juno, Michael J. Prather, Dan Bergmann, & Philip Cameron‐Smith. (2013). Sensitivity of stratospheric dynamics to uncertainty in O3production. Journal of Geophysical Research Atmospheres. 118(16). 8984–8999. 4 indexed citations
7.
Yu, Hongbin, Mian Chin, J. Jason West, et al.. (2012). A multimodel assessment of the influence of regional anthropogenic emission reductions on aerosol direct radiative forcing and the role of intercontinental transport. Journal of Geophysical Research Atmospheres. 118(2). 700–720. 47 indexed citations
8.
Penner, Joyce E., et al.. (2007). Uncertainties in global aerosol simulations: Assessment using three meteorological data sets. 2005. 3 indexed citations
9.
Liu, Xiaohong, Joyce E. Penner, Dan Bergmann, et al.. (2007). Uncertainties in global aerosol simulations: Assessment using three meteorological data sets. Journal of Geophysical Research Atmospheres. 112(D11). 60 indexed citations
10.
Considine, David B., et al.. (2005). Sensitivity of Global Modeling Initiative chemistry and transport model simulations of radon-222 and lead-210 to input meteorological data. Atmospheric chemistry and physics. 5(12). 3389–3406. 39 indexed citations
11.
Rotman, D. & Dan Bergmann. (2003). Sensitivity of Global Modeling Initiative CTM predictions of Antarctic ozone recovery to GCM and DAS generated meteorological fields. University of North Texas Digital Library (University of North Texas). 109. 1 indexed citations
12.
Atherton, C. S., et al.. (2002). Large Scale Atmospheric Chemistry Simulations for 2001: An Analysis of Ozone and Other Species in Central Arizona. University of North Texas Digital Library (University of North Texas). 1 indexed citations
13.
Rotman, D., J. Tannahill, D. E. Kinnison, et al.. (2001). Global Modeling Initiative assessment model: Model description, integration, and testing of the transport shell. Journal of Geophysical Research Atmospheres. 106(D2). 1669–1691. 70 indexed citations
14.
Lohmann, Ulrike, W. R. Leaitch, L. A. Barrie, et al.. (2001). Vertical distributions of sulfur species simulated by large scale atmospheric models in COSAM: Comparison with observations. Tellus B. 53(5). 646–646. 23 indexed citations
15.
Roelofs, G. J., P. S. Kasibhatla, L. A. Barrie, et al.. (2001). Analysis of regional budgets of sulfur species modeled for the COSAM exercise. Tellus B. 53(5). 673–673. 34 indexed citations
16.
Roelofs, G. J., P. S. Kasibhatla, L. A. Barrie, et al.. (2001). Analysis of regional budgets of sulfur species modeled for the COSAM exercise. Tellus B. 53(5). 673–694. 31 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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