Elizabeth W. Lundgren

1.3k total citations
15 papers, 435 citations indexed

About

Elizabeth W. Lundgren is a scholar working on Global and Planetary Change, Atmospheric Science and Computer Networks and Communications. According to data from OpenAlex, Elizabeth W. Lundgren has authored 15 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Global and Planetary Change, 12 papers in Atmospheric Science and 2 papers in Computer Networks and Communications. Recurrent topics in Elizabeth W. Lundgren's work include Atmospheric and Environmental Gas Dynamics (12 papers), Atmospheric Ozone and Climate (12 papers) and Atmospheric chemistry and aerosols (11 papers). Elizabeth W. Lundgren is often cited by papers focused on Atmospheric and Environmental Gas Dynamics (12 papers), Atmospheric Ozone and Climate (12 papers) and Atmospheric chemistry and aerosols (11 papers). Elizabeth W. Lundgren collaborates with scholars based in United States, Canada and China. Elizabeth W. Lundgren's co-authors include Daniel J. Jacob, Christoph A. Keller, Sebastian D. Eastham, Melissa P. Sulprizio, Robert M. Yantosca, Haipeng Lin, Jiawei Zhuang, Steven Pawson, Randall V. Martin and Thomas L. Clune and has published in prestigious journals such as SHILAP Revista de lepidopterología, Atmospheric chemistry and physics and Global Biogeochemical Cycles.

In The Last Decade

Elizabeth W. Lundgren

14 papers receiving 432 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Elizabeth W. Lundgren United States 11 318 270 142 96 22 15 435
Sang-Bum Hong South Korea 10 219 0.7× 111 0.4× 87 0.6× 34 0.4× 19 0.9× 33 280
Sarah Safieddine France 15 455 1.4× 349 1.3× 119 0.8× 87 0.9× 32 1.5× 31 552
J. K. Vaughan United States 13 328 1.0× 271 1.0× 153 1.1× 68 0.7× 9 0.4× 22 441
Alba Badía Spain 13 325 1.0× 213 0.8× 215 1.5× 186 1.9× 13 0.6× 28 488
Dien Wu United States 13 353 1.1× 440 1.6× 117 0.8× 105 1.1× 6 0.3× 25 527
Sagar Rathod United States 8 237 0.7× 185 0.7× 74 0.5× 44 0.5× 116 5.3× 20 386
Atanas Trayanov United States 7 233 0.7× 206 0.8× 49 0.3× 35 0.4× 77 3.5× 14 343
Teresa Lo Feudo Italy 12 230 0.7× 232 0.9× 57 0.4× 86 0.9× 32 1.5× 42 371
Mingyuan Yu China 11 252 0.8× 126 0.5× 198 1.4× 99 1.0× 12 0.5× 37 348
Hendrik Andersen Germany 15 409 1.3× 419 1.6× 110 0.8× 116 1.2× 10 0.5× 33 551

Countries citing papers authored by Elizabeth W. Lundgren

Since Specialization
Citations

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

Fields of papers citing papers by Elizabeth W. Lundgren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elizabeth W. Lundgren. 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 Elizabeth W. Lundgren. The network helps show where Elizabeth W. Lundgren may publish in the future.

Co-authorship network of co-authors of Elizabeth W. Lundgren

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

All Works

15 of 15 papers shown
1.
Croft, Betty, Randall V. Martin, Rachel Chang, et al.. (2024). Toward Fine Horizontal Resolution Global Simulations of Aerosol Sectional Microphysics: Advances Enabled by GCHP‐TOMAS. Journal of Advances in Modeling Earth Systems. 16(10).
2.
Lin, Haipeng, L. K. Emmons, Elizabeth W. Lundgren, et al.. (2024). Intercomparison of GEOS-Chem and CAM-chem tropospheric oxidant chemistry within the Community Earth System Model version 2 (CESM2). Atmospheric chemistry and physics. 24(15). 8607–8624. 2 indexed citations
3.
Moch, Jonathan M., Loretta J. Mickley, Sebastian D. Eastham, et al.. (2023). Overlooked Long‐Term Atmospheric Chemical Feedbacks Alter the Impact of Solar Geoengineering: Implications for Tropospheric Oxidative Capacity. SHILAP Revista de lepidopterología. 4(5). 2 indexed citations
4.
Fritz, Thibaud M., Sebastian D. Eastham, L. K. Emmons, et al.. (2022). Implementation and evaluation of the GEOS-Chem chemistry module version 13.1.2 within the Community Earth System Model v2.1. Geoscientific model development. 15(23). 8669–8704. 6 indexed citations
5.
Martin, Randall V., Sebastian D. Eastham, Liam Bindle, et al.. (2022). Improved advection, resolution, performance, and community access in the new generation (version 13) of the high-performance GEOS-Chem global atmospheric chemistry model (GCHP). Geoscientific model development. 15(23). 8731–8748. 20 indexed citations
6.
Moch, Jonathan M., Loretta J. Mickley, Christoph A. Keller, et al.. (2022). Aerosol‐Radiation Interactions in China in Winter: Competing Effects of Reduced Shortwave Radiation and Cloud‐Snowfall‐Albedo Feedbacks Under Rapidly Changing Emissions. Journal of Geophysical Research Atmospheres. 127(9). e2021JD035442–e2021JD035442. 10 indexed citations
7.
Lin, Haipeng, Daniel J. Jacob, Elizabeth W. Lundgren, et al.. (2021). Harmonized Emissions Component (HEMCO) 3.0 as a versatile emissions component for atmospheric models: application in the GEOS-Chem, NASA GEOS, WRF-GC, CESM2, NOAA GEFS-Aerosol, and NOAA UFS models. Geoscientific model development. 14(9). 5487–5506. 53 indexed citations
8.
Bindle, Liam, Randall V. Martin, Matthew Cooper, et al.. (2021). Grid-stretching capability for the GEOS-Chem 13.0.0 atmospheric chemistry model. Geoscientific model development. 14(10). 5977–5997. 26 indexed citations
9.
Keller, Christoph A., K. Emma Knowland, B. N. Duncan, et al.. (2021). Description of the NASA GEOS Composition Forecast Modeling System GEOS‐CF v1.0. Journal of Advances in Modeling Earth Systems. 13(4). e2020MS002413–e2020MS002413. 96 indexed citations
10.
Zhuang, Jiawei, Daniel J. Jacob, Haipeng Lin, et al.. (2020). Enabling High‐Performance Cloud Computing for Earth Science Modeling on Over a Thousand Cores: Application to the GEOS‐Chem Atmospheric Chemistry Model. Journal of Advances in Modeling Earth Systems. 12(5). 28 indexed citations
12.
Lin, Haipeng, Xu Feng, Tzung‐May Fu, et al.. (2020). WRF-GC (v1.0): online coupling of WRF (v3.9.1.1) and GEOS-Chem (v12.2.1) for regional atmospheric chemistry modeling – Part 1: Description of the one-way model. Geoscientific model development. 13(7). 3241–3265. 29 indexed citations
13.
Wagner, Charlotte C., Helen M. Amos, Colin P. Thackray, et al.. (2019). A Global 3‐D Ocean Model for PCBs: Benchmark Compounds for Understanding the Impacts of Global Change on Neutral Persistent Organic Pollutants. Global Biogeochemical Cycles. 33(3). 469–481. 38 indexed citations
14.
Zhuang, Jiawei, Daniel Jacob, Robert M. Yantosca, et al.. (2019). Enabling Immediate Access to Earth Science Models through Cloud Computing: Application to the GEOS-Chem Model. Bulletin of the American Meteorological Society. 100(10). 1943–1960. 13 indexed citations
15.
Eastham, Sebastian D., M. S. Long, Christoph A. Keller, et al.. (2018). GEOS-Chem High Performance (GCHP v11-02c): a next-generation implementation of the GEOS-Chem chemical transport model for massively parallel applications. Geoscientific model development. 11(7). 2941–2953. 74 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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