E. J. Moyer

4.6k total citations
66 papers, 2.2k citations indexed

About

E. J. Moyer is a scholar working on Global and Planetary Change, Atmospheric Science and Economics and Econometrics. According to data from OpenAlex, E. J. Moyer has authored 66 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Global and Planetary Change, 43 papers in Atmospheric Science and 10 papers in Economics and Econometrics. Recurrent topics in E. J. Moyer's work include Atmospheric Ozone and Climate (30 papers), Atmospheric and Environmental Gas Dynamics (29 papers) and Atmospheric chemistry and aerosols (19 papers). E. J. Moyer is often cited by papers focused on Atmospheric Ozone and Climate (30 papers), Atmospheric and Environmental Gas Dynamics (29 papers) and Atmospheric chemistry and aerosols (19 papers). E. J. Moyer collaborates with scholars based in United States, Germany and United Kingdom. E. J. Moyer's co-authors include Michael Glotter, David A. Weisbach, Yuk L. Yung, F. W. Irion, M. R. Gunson, Gregory S. Engel, Michael L. Stein, Frank N. Keutsch, Jason M. St. Clair and D. S. Sayres and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Journal of Geophysical Research Atmospheres.

In The Last Decade

E. J. Moyer

63 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E. J. Moyer United States 29 1.4k 1.4k 384 247 194 66 2.2k
R. G. Prinn United States 25 1.6k 1.1× 1.8k 1.3× 114 0.3× 74 0.3× 48 0.2× 37 2.6k
C. O’Dell United States 36 4.3k 3.0× 3.4k 2.4× 288 0.8× 139 0.6× 24 0.1× 101 4.8k
J. D. Shanklin United Kingdom 5 1.2k 0.9× 1.9k 1.4× 242 0.6× 31 0.1× 87 0.4× 18 2.5k
J. C. Farman United Kingdom 8 1.4k 0.9× 2.0k 1.5× 251 0.7× 33 0.1× 90 0.5× 16 2.6k
G. E. Bodeker New Zealand 32 2.6k 1.8× 2.9k 2.1× 76 0.2× 39 0.2× 73 0.4× 134 3.5k
Peter Hoor Germany 38 3.5k 2.5× 4.4k 3.2× 185 0.5× 20 0.1× 58 0.3× 129 5.2k
Hartmut Bösch United Kingdom 25 2.0k 1.4× 1.8k 1.3× 260 0.7× 92 0.4× 10 0.1× 51 2.6k
I. Bey United States 38 5.2k 3.7× 6.8k 4.9× 119 0.3× 44 0.2× 94 0.5× 58 7.6k
Jochen Landgraf Netherlands 33 3.5k 2.4× 2.8k 2.0× 271 0.7× 31 0.1× 20 0.1× 130 4.0k
Nicholas Jones Australia 33 2.8k 2.0× 3.0k 2.1× 545 1.4× 23 0.1× 26 0.1× 111 3.7k

Countries citing papers authored by E. J. Moyer

Since Specialization
Citations

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

Fields of papers citing papers by E. J. Moyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. J. Moyer

This figure shows the co-authorship network connecting the top 25 collaborators of E. J. Moyer. A scholar is included among the top collaborators of E. J. Moyer 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 E. J. Moyer. E. J. Moyer 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
2.
Salawitch, R. J., J. B. Smith, Henry B. Selkirk, et al.. (2025). The Imminent Data Desert: The Future of Stratospheric Monitoring in a Rapidly Changing World. Bulletin of the American Meteorological Society. 106(3). E540–E563.
3.
Konopka, Paul, Christian Rolf, Marc von Hobe, et al.. (2023). The dehydration carousel of stratospheric water vapor in the Asian summer monsoon anticyclone. Atmospheric chemistry and physics. 23(20). 12935–12947. 2 indexed citations
4.
Wang, Ziwei & E. J. Moyer. (2023). Robust Relationship Between Midlatitudes CAPE and Moist Static Energy Surplus in Present and Future Simulations. Geophysical Research Letters. 50(14). 4 indexed citations
5.
Singer, Clare E., Sergey Khaykin, Martina Krämer, et al.. (2022). Intercomparison of upper tropospheric and lower stratospheric water vapor measurements over the Asian Summer Monsoon during the StratoClim campaign. Atmospheric measurement techniques. 15(16). 4767–4783. 7 indexed citations
6.
Zabel, Florian, Christoph Müller, Joshua Elliott, et al.. (2021). Large potential for crop production adaptation depends on available future varieties. Global Change Biology. 27(16). 3870–3882. 105 indexed citations
7.
Müller, Christoph, James Franke, Jonas Jägermeyr, et al.. (2021). Exploring uncertainties in global crop yield projections in a large ensemble of crop models and CMIP5 and CMIP6 climate scenarios. Environmental Research Letters. 16(3). 34040–34040. 82 indexed citations
8.
Franke, James, Christoph Müller, Sara Minoli, et al.. (2021). Agricultural breadbaskets shift poleward given adaptive farmer behavior under climate change. Global Change Biology. 28(1). 167–181. 40 indexed citations
9.
Callahan, Christopher W., Chen Chen, Maria Rugenstein, et al.. (2021). Robust decrease in El Niño/Southern Oscillation amplitude under long-term warming. Nature Climate Change. 11(9). 752–757. 61 indexed citations
10.
Lamb, Kara D., et al.. (2020). No anomalous supersaturation in ultracold cirrus laboratory experiments. Atmospheric chemistry and physics. 20(2). 1089–1103. 3 indexed citations
11.
Moyer, E. J., et al.. (2019). Developing Unsupervised Learning Models for Cloud Classification. AGU Fall Meeting Abstracts. 2019. 1 indexed citations
12.
Fridlind, Ann M., Rachel Atlas, Bastiaan van Diedenhoven, et al.. (2016). Derivation of physical and optical properties of mid-latitude cirrus ice crystals for a size-resolved cloud microphysics model. Atmospheric chemistry and physics. 16(11). 7251–7283. 10 indexed citations
13.
Glotter, Michael, et al.. (2014). Evaluating the Reliability of Reanalysis as a Substitute for Observational Data in Large-scale Agricultural Assessments. AGU Fall Meeting Abstracts. 2014.
14.
Legras, Bernard, et al.. (2013). Modelling and interpreting the isotopic composition of water vapour in convective updrafts. Atmospheric chemistry and physics. 13(16). 7903–7935. 46 indexed citations
15.
McInerney, David & E. J. Moyer. (2012). Direct and disequilibrium effects on precipitation in transient climates. 3 indexed citations
16.
Elliott, Joshua, Ian Foster, Kenneth L. Judd, E. J. Moyer, & Todd Munson. (2010). CIM-EARTH: Framework and Case Study. The B E Journal of Economic Analysis & Policy. 10(2). 7 indexed citations
17.
Engel, Gregory S. & E. J. Moyer. (2007). Precise multipass Herriott cell design: Derivation of controlling design equations. Optics Letters. 32(6). 704–704. 21 indexed citations
18.
Andrews, A. E., K. A. Boering, Bruce C. Daube, et al.. (2001). Mean ages of stratospheric air derived from in situ observations of CO2, CH4, and N2O. Journal of Geophysical Research Atmospheres. 106(D23). 32295–32314. 155 indexed citations
19.
Scott, D. C., R. L. Herman, Christopher R. Webster, et al.. (1999). Airborne Laser Infrared Absorption Spectrometer (ALIAS-II) for in situ atmospheric measurements of N_2O, CH_4, CO, HCL, and NO_2 from balloon or remotely piloted aircraft platforms. Applied Optics. 38(21). 4609–4609. 44 indexed citations
20.
Herman, R. L., D. C. Scott, Christopher R. Webster, et al.. (1998). Tropical entrainment time scales inferred from stratospheric N2O and CH4 observations. Geophysical Research Letters. 25(15). 2781–2784. 44 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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