J. D. Whitehead

1.9k citations
23 papers · 1.0k · h-index 13

Impact in

Papers in

J. D. Whitehead

23 papers receiving 993 citations

Peers

J. D. Whitehead
Comparison fields: 5 of 63
  • Atmospheric Science 841
  • Health, Toxicology and Mutagenesis 526
  • Global and Planetary Change 535
  • Environmental Engineering 147
  • Small Animals 52
Replace David Walter with:
David Walter Germany
Michael S. Brown United States
Sabine Matthias‐Maser Germany
Christina S. McCluskey United States
Claudio Defila Switzerland
Matthew T. Boehm United States
Bernhard Pummer Austria
Yitzhak Mahrer Israel
Stefanie Augustin‐Bauditz Germany
Evan A. Schwartz United States
J. D. Whitehead relative to David Walter Germany David Walter's profile →
Citations per field
00.5×4.0×
David Walter · 1×
Citations per year

Countries citing papers authored by J. D. Whitehead

Since Specialization
Citations

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

Fields of papers citing papers by J. D. Whitehead

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside J. D. Whitehead, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with J. D. Whitehead Line = papers co-authored together J. D. Whitehead links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007239
2 2013155
3 2010147
4 201592
5 200764
6 198347
7 201541
8 200640
9 200933
10 201032
11 201430
12 201426
13 201018
14 201012
15 20178
16 20098
17 20197
18 20126
19 19816
20 20101

About J. D. Whitehead

J. D. Whitehead is a scholar working on Atmospheric Science, Global and Planetary Change, Health, Toxicology and Mutagenesis, Ecology, Evolution, Behavior and Systematics and Environmental Engineering, having authored 23 papers that have together received 1.0k indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (18 papers), Atmospheric aerosols and clouds (11 papers), Atmospheric Ozone and Climate (9 papers), Air Quality and Health Impacts (9 papers), Plant and animal studies (2 papers), Air Quality Monitoring and Forecasting (2 papers), Atmospheric and Environmental Gas Dynamics (2 papers) and Geological and Geophysical Studies Worldwide (1 paper). The work is most often cited by research in Atmospheric Science (841 citations), Health, Toxicology and Mutagenesis (526 citations), Global and Planetary Change (535 citations), Environmental Engineering (147 citations) and Small Animals (52 citations). J. D. Whitehead has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include G. McFiggans, M. W. Gallagher, Michael Flynn, Hugh Coe, P. I. Williams, J. D. Allan, J. R. Dorsey, A. M. Gabey, M. Cubison and Keith Bower. Their work appears in journals such as Atmospheric chemistry and physics, Water Air & Soil Pollution, Veterinary Record, International Journal of Biometeorology and The Journal of Foraminiferal Research.

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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