W. W. McMillan

2.2k citations
38 papers · 1.0k indexed · h-index 13

W. W. McMillan

35 papers receiving 973 citations

Peers

W. W. McMillan
Comparison fields: 5 of 74
  • Atmospheric Science 845
  • Global and Planetary Change 739
  • Health, Toxicology and Mutagenesis 185
  • Environmental Engineering 61
  • Plant Science 44
Replace Jong-Chul Ha with:
Jong-Chul Ha South Korea
Donghui Li China
Werner K. Graber Switzerland
Jiří Mikšovský Czechia
François Jeanneret Switzerland
Helga U. Kuechly Germany
S. Ilavajhala United States
Ella-Maria Kyrö Finland
D. E. Lolkema Netherlands
Francisco Javier Acero Spain
W. W. McMillan relative to Jong-Chul Ha South Korea Jong-Chul Ha's profile →
Citations per field
00.5×3.6×
Jong-Chul Ha · 1×
Citations per year

Countries citing papers authored by W. W. McMillan

Since Specialization
Citations

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

Fields of papers citing papers by W. W. McMillan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W. W. McMillan. 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 W. W. McMillan. The network helps show where W. W. McMillan may publish in the future.

Co-authorship network of co-authors of W. W. McMillan

This figure shows the co-authorship network connecting the top 25 collaborators of W. W. McMillan. A scholar is included among the top collaborators of W. W. McMillan 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 W. W. McMillan. W. W. McMillan 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
1 214
2 20
3 7
4
Validation of AIRS CO Retrievals for Air Quality and Transport Assessments
1
5 25
6 239
7
Validation of AIRS v5.0.14.0 CO Retrievals From INTEX-A and B
1
8 72
9 5
10 153
11 1
12 15
13
First Results from BBAERI: The Baltimore Bomem Atmospheric Emitted Radiance Interferometer
0
14 15
15 7
16
Revelations of a stratospheric circulation: The dynamical transport of hydrocarbons in the stratosphere of Uranus
2
17 0
18
Classical conditioning as an example of natural models useful in machine learning
1
19 3
20 1

About W. W. McMillan

W. W. McMillan is a scholar working on Atmospheric Science, Human Factors and Ergonomics and Global and Planetary Change, having authored 38 papers that have together received 1.0k indexed citations. Recurring topics across this work include Atmospheric and Environmental Gas Dynamics (16 papers), Atmospheric chemistry and aerosols (15 papers) and Atmospheric Ozone and Climate (13 papers). The work is most often cited by research in Atmospheric Science (845 citations), Global and Planetary Change (739 citations) and Health, Toxicology and Mutagenesis (185 citations). W. W. McMillan has collaborated with scholars based in United States, Netherlands and Australia. Frequent co-authors include E. Maddy, Lin Zhang, J. X. Warner, C. Barnet, Leonid Yurganov, L. Larrabee Strow, Nicholas Jones, Guido R. van der Werf, A. V. Dzhola and P. C. Novelli. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Geophysical Research Letters and Atmospheric chemistry and physics.

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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