Daniel G. Partridge

3.5k total citations
40 papers, 1.4k citations indexed

About

Daniel G. Partridge is a scholar working on Atmospheric Science, Global and Planetary Change and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Daniel G. Partridge has authored 40 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Atmospheric Science, 29 papers in Global and Planetary Change and 4 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Daniel G. Partridge's work include Atmospheric chemistry and aerosols (31 papers), Atmospheric aerosols and clouds (28 papers) and Atmospheric Ozone and Climate (18 papers). Daniel G. Partridge is often cited by papers focused on Atmospheric chemistry and aerosols (31 papers), Atmospheric aerosols and clouds (28 papers) and Atmospheric Ozone and Climate (18 papers). Daniel G. Partridge collaborates with scholars based in United Kingdom, Sweden and United States. Daniel G. Partridge's co-authors include Philip Stier, William B. Yates, Edward Gryspeerdt, Ulrike Lohmann, David Neubauer, Sylvaine Ferrachat, Zak Kipling, Andrew Gettelman, Minghuai Wang and Hailong Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Geoscience.

In The Last Decade

Daniel G. Partridge

39 papers receiving 1.3k citations

Peers

Daniel G. Partridge
Comparison fields: 5 of 97
  • Atmospheric Science 1.0k
  • Global and Planetary Change 956
  • Artificial Intelligence 190
  • Health, Toxicology and Mutagenesis 159
  • Earth-Surface Processes 93
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Citations per field, relative to Daniel G. Partridge
Daniel G. Partridge · 1×
Citations per year, relative to Daniel G. Partridge
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Countries citing papers authored by Daniel G. Partridge

Since Specialization
Citations

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

Fields of papers citing papers by Daniel G. Partridge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel G. Partridge

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel G. Partridge. A scholar is included among the top collaborators of Daniel G. Partridge 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 G. Partridge. Daniel G. Partridge 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
# Work Indexed citations
1 0
2 4
3 1
4 5
5 19
6 3
7 2
8 12
9 18
10 18
11 56
12 42
13 25
14 29
15 38
16 12
17 62
18
Comparing droplet activation parameterisations against adiabatic parcel models using a novel inverse modelling framework
1
19 63
20
What's Wrong With Neural Architectures.
2

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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