James T. Kelly

82 papers receiving 4.1k citations

Hit Papers

An ensemble-based model of PM2.5 concentration across the...20192026202120232019100200300400

Peers

James T. Kelly
Comparison fields: 5 of 150
  • Health, Toxicology and Mutagenesis 2.0k
  • Atmospheric Science 1.6k
  • Environmental Engineering 1.1k
  • Global and Planetary Change 818
  • Computational Mechanics 638
Replace Joakim Pagels with:
Joakim Pagels Sweden
David M. Broday Israel
J.G. Bartzis Greece
Hilkka Timonen Finland
Zhaolin Gu China
Alan Robins United Kingdom
John T. Walker United States
E.R. Jayaratne Australia
Paul Fischer Netherlands
J. Smolík Czechia
James T. Kelly relative to Joakim Pagels Sweden Joakim Pagels's profile →
Citations per field
00.5×1.5×2.4×
Joakim Pagels · 1×
Citations per year

Countries citing papers authored by James T. Kelly

Since Specialization
Citations

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

Fields of papers citing papers by James T. Kelly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James T. Kelly

This figure shows the co-authorship network connecting the top 25 collaborators of James T. Kelly. A scholar is included among the top collaborators of James T. Kelly 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 James T. Kelly. James T. Kelly 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 1
2 29
3 10
4 27
5 81
6 57
7 57
8 13
9 46
10 22
11 99
12 385
13
Progress in mathematical biology research
17
14
Impact of parameter representation in gas-particle partitioning on aerosol yield model prediction
1
15 24
16 101
17 24
18 18
19
Localized vein necrosis to BCMNV in pinto P94207 is conditioned by a dominant gene.
1
20 26

About James T. Kelly

James T. Kelly is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science and Environmental Engineering, having authored 83 papers that have together received 4.2k indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (40 papers), Air Quality and Health Impacts (33 papers) and Air Quality Monitoring and Forecasting (18 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (2.0k citations), Atmospheric Science (1.6k citations) and Environmental Engineering (1.1k citations). James T. Kelly has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Anthony S. Wexler, Robert W. Schefer, M. Namazian, Walter Leutenegger, Bahman Asgharian, Julia S. Kimbell, Ajay K. Prasad, Brian A. Wong, Qian Di and Petros Koutrakis. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Environmental Science & Technology and The Science of The Total Environment.

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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