Daniel T. McCoy

4.9k citations
38 papers · 2.3k indexed · 1 hit paper · h-index 20
Topics
Atmospheric aerosols and clouds (30 papers)Atmospheric chemistry and aerosols (25 papers)Climate variability and models (16 papers)

In The Last Decade

Daniel T. McCoy

33 papers receiving 2.3k citations

Hit Papers

Causes of Higher Climate Sensitivity in CMIP6 Models202020262022202420202505007501000

Peers

Daniel T. McCoy
Comparison fields: 5 of 81
  • Global and Planetary Change 2.1k
  • Atmospheric Science 2.0k
  • Oceanography 203
  • Earth-Surface Processes 144
  • Health, Toxicology and Mutagenesis 68
Replace Michael Previdi with:
Michael Previdi United States
Hylke de Vries Netherlands
Paulo Ceppi United Kingdom
Marc Salzmann Germany
Ingo Kirchner Germany
Christophe Lavaysse France
Pierre Nabat France
Alejandro Bodas‐Salcedo United Kingdom
Kyu‐Myong Kim United States
Ryan Eastman United States
Daniel T. McCoy relative to Michael Previdi United States Michael Previdi's profile →
Citations per field
00.5×
Michael Previdi · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 0
3 0
4 2
5 2
6 9
7 2
8 0
9 8
10 17
11 36
12 13
13 3
14 66
15 19
16 29
17 20
18 36
19 44
20 2

About Daniel T. McCoy

Daniel T. McCoy is a scholar working on Atmospheric Science, Global and Planetary Change and Earth-Surface Processes, having authored 38 papers that have together received 2.3k indexed citations. Recurring topics across this work include Atmospheric aerosols and clouds (30 papers), Atmospheric chemistry and aerosols (25 papers) and Climate variability and models (16 papers). The work is most often cited by research in Atmospheric Science (2.0k citations), Global and Planetary Change (2.1k citations) and Earth-Surface Processes (144 citations). Daniel T. McCoy has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent 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. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Chemical Physics and SHILAP Revista de lepidopterología.

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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