Jennifer Hains

1.2k total citations
17 papers, 773 citations indexed

About

Jennifer Hains is a scholar working on Atmospheric Science, Global and Planetary Change and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Jennifer Hains has authored 17 papers receiving a total of 773 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Atmospheric Science, 9 papers in Global and Planetary Change and 8 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Jennifer Hains's work include Atmospheric chemistry and aerosols (15 papers), Air Quality and Health Impacts (8 papers) and Atmospheric aerosols and clouds (5 papers). Jennifer Hains is often cited by papers focused on Atmospheric chemistry and aerosols (15 papers), Air Quality and Health Impacts (8 papers) and Atmospheric aerosols and clouds (5 papers). Jennifer Hains collaborates with scholars based in United States, Netherlands and Canada. Jennifer Hains's co-authors include Russell R. Dickerson, Bruce G. Doddridge, J. W. Stehr, N. A. Krotkov, James J. Schwab, B. F. Taubman, Andreas Richter, L. T. Marufu, Aaron van Donkelaar and Randall V. Martin and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Atmospheric Environment and Atmospheric chemistry and physics.

In The Last Decade

Jennifer Hains

17 papers receiving 762 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jennifer Hains United States 13 677 460 375 147 89 17 773
Aaron S. Katzenstein United States 8 586 0.9× 352 0.8× 310 0.8× 210 1.4× 124 1.4× 8 711
Qindan Zhu United States 14 557 0.8× 307 0.7× 384 1.0× 189 1.3× 61 0.7× 27 707
Michael Pikridas Cyprus 18 699 1.0× 402 0.9× 485 1.3× 244 1.7× 84 0.9× 45 842
Duseong S. Jo United States 14 921 1.4× 467 1.0× 563 1.5× 127 0.9× 96 1.1× 33 979
Ja‐Ho Koo South Korea 13 628 0.9× 464 1.0× 325 0.9× 135 0.9× 45 0.5× 43 728
Mikko Äijälä Finland 16 656 1.0× 327 0.7× 405 1.1× 176 1.2× 57 0.6× 30 735
Marco Zanatta Germany 15 686 1.0× 380 0.8× 386 1.0× 126 0.9× 127 1.4× 29 782
Daeok Youn South Korea 13 569 0.8× 388 0.8× 349 0.9× 149 1.0× 85 1.0× 32 684
C. N. Poon Hong Kong 7 888 1.3× 297 0.6× 646 1.7× 273 1.9× 129 1.4× 7 963
Yongjoo Choi South Korea 13 462 0.7× 250 0.5× 354 0.9× 126 0.9× 105 1.2× 56 540

Countries citing papers authored by Jennifer Hains

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Hains

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Hains

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

All Works

17 of 17 papers shown
1.
2.
Anderson, Daniel C., Cory Martin, Xinrong Ren, et al.. (2020). Using near-road observations of CO, NOy, and CO2 to investigate emissions from vehicles: Evidence for an impact of ambient temperature and specific humidity. Atmospheric Environment. 232. 117558–117558. 31 indexed citations
3.
Loughner, Christopher P., Melanie B. Follette‐Cook, B. N. Duncan, et al.. (2019). The benefits of lower ozone due to air pollution emission reductions (2002–2011) in the Eastern United States during extreme heat. Journal of the Air & Waste Management Association. 70(2). 193–205. 7 indexed citations
4.
He, Hao, Konstantin Y. Vinnikov, Can Li, et al.. (2016). Response of SO2 and particulate air pollution to local and regional emission controls: A case study in Maryland. Earth s Future. 4(4). 94–109. 33 indexed citations
5.
Dickerson, Russell R., Jennifer Hains, R. J. Salawitch, et al.. (2015). Ground-level ozone: A path forward for the eastern United States. 3 indexed citations
6.
7.
Flynn, Clare M., Kenneth Pickering, J. H. Crawford, et al.. (2014). Relationship between column-density and surface mixing ratio: Statistical analysis of O3 and NO2 data from the July 2011 Maryland DISCOVER-AQ mission. Atmospheric Environment. 92. 429–441. 40 indexed citations
8.
He, Hao, Christopher P. Loughner, J. W. Stehr, et al.. (2013). An elevated reservoir of air pollutants over the Mid-Atlantic States during the 2011 DISCOVER-AQ campaign: Airborne measurements and numerical simulations. Atmospheric Environment. 85. 18–30. 31 indexed citations
9.
He, Hao, J. W. Stehr, Jennifer Hains, et al.. (2013). Trends in emissions and concentrations of air pollutants in the lower troposphere in the Baltimore/Washington airshed from 1997 to 2011. Atmospheric chemistry and physics. 13(15). 7859–7874. 62 indexed citations
10.
Lee, Chulkyu, Randall V. Martin, Aaron van Donkelaar, et al.. (2011). SO2emissions and lifetimes: Estimates from inverse modeling using in situ and global, space-based (SCIAMACHY and OMI) observations. Journal of Geophysical Research Atmospheres. 116(D6). 227 indexed citations
11.
Castellanos, Patricia, L. T. Marufu, Bruce G. Doddridge, et al.. (2011). Ozone, oxides of nitrogen, and carbon monoxide during pollution events over the eastern United States: An evaluation of emissions and vertical mixing. Journal of Geophysical Research Atmospheres. 116(D16). 45 indexed citations
12.
Hains, Jennifer, K. F. Boersma, M. Kroon, et al.. (2010). Testing and improving OMI DOMINO tropospheric NO2 using observations from the DANDELIONS and INTEX‐B validation campaigns. Journal of Geophysical Research Atmospheres. 115(D5). 73 indexed citations
13.
Volten, H., E. J. Brinksma, A. J. C. Berkhout, et al.. (2009). NO2 lidar profile measurements for satellite interpretation and validation. Journal of Geophysical Research Atmospheres. 114(D24). 23 indexed citations
14.
Hains, Jennifer, B. F. Taubman, Anne M. Thompson, et al.. (2007). Origins of chemical pollution derived from Mid-Atlantic aircraft profiles using a clustering technique. Atmospheric Environment. 42(8). 1727–1741. 42 indexed citations
15.
Hains, Jennifer, L.‐W. Antony Chen, B. F. Taubman, Bruce G. Doddridge, & Russell R. Dickerson. (2007). A side-by-side comparison of filter-based PM2.5 measurements at a suburban site: A closure study. Atmospheric Environment. 41(29). 6167–6184. 19 indexed citations
16.
Taubman, B. F., Jennifer Hains, Anne M. Thompson, et al.. (2006). Aircraft vertical profiles of trace gas and aerosol pollution over the mid‐Atlantic United States: Statistics and meteorological cluster analysis. Journal of Geophysical Research Atmospheres. 111(D10). 97 indexed citations
17.
Dickerson, Russell R., Jennifer Hains, & John P. Burrows. (2004). Combining in situ and Remote Measurements with Models: Picking the Right Tools. AGU Spring Meeting Abstracts. 2004. 1 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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