Daniel T. McCoy

4.9k total citations · 1 hit paper
38 papers, 2.3k citations indexed

About

Daniel T. McCoy is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, Daniel T. McCoy has authored 38 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Global and Planetary Change, 33 papers in Atmospheric Science and 2 papers in Oceanography. Recurrent topics in Daniel T. McCoy's work include Atmospheric aerosols and clouds (30 papers), Atmospheric chemistry and aerosols (25 papers) and Climate variability and models (16 papers). Daniel T. McCoy is often cited by papers focused on Atmospheric aerosols and clouds (30 papers), Atmospheric chemistry and aerosols (25 papers) and Climate variability and models (16 papers). Daniel T. McCoy collaborates with scholars based in United States, United Kingdom and Sweden. Daniel T. McCoy's co-authors include Mark D. Zelinka, Dennis L. Hartmann, Paulo Ceppi, Daniel P. Grosvenor, Timothy A. Myers, Karl E. Taylor, Stephen A. Klein, Peter Caldwell, Stephen Po–Chedley and Robert Wood and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Chemical Physics and SHILAP Revista de lepidopterología.

In The Last Decade

Daniel T. McCoy

33 papers receiving 2.3k citations

Hit Papers

Causes of Higher Climate Sensitivity in CMIP6 Models 2020 2026 2022 2024 2020 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel T. McCoy United States 20 2.1k 2.0k 203 144 68 38 2.3k
Christophe Lavaysse France 22 1.3k 0.6× 1.1k 0.6× 135 0.7× 142 1.0× 66 1.0× 43 1.5k
Sean Milton United Kingdom 24 1.7k 0.8× 1.7k 0.9× 202 1.0× 159 1.1× 53 0.8× 59 1.9k
Paulo Ceppi United Kingdom 26 3.1k 1.5× 2.8k 1.4× 449 2.2× 96 0.7× 69 1.0× 60 3.5k
Romain Roehrig France 24 1.7k 0.8× 1.6k 0.8× 347 1.7× 54 0.4× 51 0.8× 66 1.9k
Kyu‐Myong Kim United States 25 2.2k 1.1× 2.1k 1.1× 210 1.0× 83 0.6× 179 2.6× 64 2.5k
Mark A. Ringer United Kingdom 29 2.7k 1.3× 2.5k 1.3× 449 2.2× 83 0.6× 31 0.5× 58 3.0k
Yoko Tsushima Japan 21 2.0k 1.0× 1.7k 0.9× 360 1.8× 46 0.3× 52 0.8× 45 2.3k
Marc Salzmann Germany 20 1.7k 0.8× 1.7k 0.9× 227 1.1× 58 0.4× 154 2.3× 37 2.1k
Mark Reyers Germany 20 1.1k 0.5× 1.0k 0.5× 253 1.2× 81 0.6× 26 0.4× 42 1.6k
Jason N. S. Cole Canada 29 3.0k 1.4× 2.6k 1.3× 266 1.3× 46 0.3× 113 1.7× 92 3.2k

Countries citing papers authored by Daniel T. McCoy

Since Specialization
Citations

This map shows the geographic impact of Daniel T. McCoy'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 Daniel T. McCoy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel T. McCoy more than expected).

Fields of papers citing papers by Daniel T. McCoy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel T. McCoy. 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 Daniel T. McCoy. The network helps show where Daniel T. McCoy may publish in the future.

Co-authorship network of co-authors of Daniel T. McCoy

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel T. McCoy. A scholar is included among the top collaborators of Daniel T. McCoy 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 Daniel T. McCoy. Daniel T. McCoy 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.
Rebassoo, F., et al.. (2025). Applying the ACE2 Emulator to SST Green's Functions for the E3SMv3 Global Atmosphere Model. SHILAP Revista de lepidopterología. 2(3).
2.
Song, Ci, et al.. (2025). Signatures of aerosol-cloud interactions in GiOcean: a coupled global reanalysis with two-moment cloud microphysics. Atmospheric chemistry and physics. 25(21). 15567–15592.
3.
Song, Ci, Daniel T. McCoy, Isabel L. McCoy, et al.. (2025). Aircraft in-situ measurements from SOCRATES constrain the anthropogenic perturbations of cloud droplet number. Atmospheric chemistry and physics. 25(22). 16063–16083.
4.
Watson‐Parris, Duncan, Laura J. Wilcox, Camilla W. Stjern, et al.. (2025). Surface temperature effects of recent reductions in shipping SO 2 emissions are within internal variability. Atmospheric chemistry and physics. 25(8). 4443–4454. 2 indexed citations
5.
McCoy, Daniel T., Trude Eidhammer, Andrew Gettelman, et al.. (2025). Constraining aerosol–cloud adjustments by uniting surface observations with a perturbed parameter ensemble. Atmospheric chemistry and physics. 25(8). 4547–4570. 2 indexed citations
6.
Eidhammer, Trude, Andrew Gettelman, Katherine Thayer‐Calder, et al.. (2024). An extensible perturbed parameter ensemble for the Community Atmosphere Model version 6. Geoscientific model development. 17(21). 7835–7853. 9 indexed citations
7.
McCoy, Daniel T., et al.. (2024). Meteorology Modulates the Impact of GCM Horizontal Resolution on Underestimation of Midlatitude Ocean Wind Speeds. Geophysical Research Letters. 51(13). 2 indexed citations
8.
McCoy, Daniel T., et al.. (2024). Constraints on Southern Ocean Shortwave Cloud Feedback From the Hydrological Cycle. Journal of Geophysical Research Atmospheres. 129(6).
9.
Gettelman, Andrew, et al.. (2024). The Interaction Between Climate Forcing and Feedbacks. Journal of Geophysical Research Atmospheres. 129(18). 8 indexed citations
10.
McCoy, Isabel L., Daniel T. McCoy, Robert Wood, Paquita Zuidema, & Frida A.‐M. Bender. (2023). The Role of Mesoscale Cloud Morphology in the Shortwave Cloud Feedback. Geophysical Research Letters. 50(2). 17 indexed citations
11.
Gryspeerdt, Edward, Daniel T. McCoy, Ewan Crosbie, et al.. (2022). The impact of sampling strategy on the cloud droplet number concentration estimated from satellite data. Atmospheric measurement techniques. 15(12). 3875–3892. 36 indexed citations
12.
McCoy, Daniel T., Paul R. Field, Mark D. Zelinka, et al.. (2022). Extratropical Shortwave Cloud Feedbacks in the Context of the Global Circulation and Hydrological Cycle. Geophysical Research Letters. 49(8). 13 indexed citations
13.
Gryspeerdt, Edward, Daniel T. McCoy, Ewan Crosbie, et al.. (2021). The impact of sampling strategy on the cloud droplet number concentration estimated from satellite data. 3 indexed citations
14.
McCoy, Isabel L., Daniel T. McCoy, Robert Wood, et al.. (2020). The hemispheric contrast in cloud microphysical properties constrains aerosol forcing. Proceedings of the National Academy of Sciences. 117(32). 18998–19006. 66 indexed citations
15.
McCoy, Daniel T., Paul R. Field, Alejandro Bodas‐Salcedo, Gregory S. Elsaesser, & Mark D. Zelinka. (2020). A Regime-Oriented Approach to Observationally Constraining Extratropical Shortwave Cloud Feedbacks. Journal of Climate. 33(23). 9967–9983. 19 indexed citations
16.
McCoy, Daniel T., Paul R. Field, Hamish Gordon, Gregory S. Elsaesser, & Daniel P. Grosvenor. (2020). Untangling causality in midlatitude aerosol–cloud adjustments. Atmospheric chemistry and physics. 20(7). 4085–4103. 29 indexed citations
17.
McCoy, Daniel T., Paul R. Field, Gregory S. Elsaesser, et al.. (2019). Cloud feedbacks in extratropical cyclones: insight from long-term satellite data and high-resolution global simulations. Atmospheric chemistry and physics. 19(2). 1147–1172. 20 indexed citations
18.
McCoy, Daniel T., Paul R. Field, Anja Schmidt, et al.. (2018). Aerosol midlatitude cyclone indirect effects in observations and high-resolution simulations. Atmospheric chemistry and physics. 18(8). 5821–5846. 36 indexed citations
19.
McCoy, Daniel T., Frida A.‐M. Bender, Daniel P. Grosvenor, et al.. (2018). Predicting decadal trends in cloud droplet number concentration using reanalysis and satellite data. Atmospheric chemistry and physics. 18(3). 2035–2047. 44 indexed citations
20.
McCoy, Daniel T., Paul R. Field, Anja Schmidt, et al.. (2017). The aerosol-cyclone indirect effect in observations and high-resolution simulations. 2 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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