Jack L. Warner
Impact in
- Statistics and Probability top 5%
- Advanced Statistical Methods and Models
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- Air Quality and Health Impacts
Papers in
-
- Air Quality and Health Impacts 4
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- Advanced Statistical Methods and Models 2
- Co-authors
- Beat Kleiner (4 shared papers)William S. Cleveland (4 shared papers)R. Gnanadesikan (2 shared papers)David F. Andrews (2 shared papers)T. E. Graedel (2 shared papers)John H. Flowers (1 shared paper)Baoling Ma (1 shared paper)Chuan Li (1 shared paper)
- Journals
- Science (2 papers)Journal of Applied Psychology (2 papers)Memory & Cognition (1 paper)Biometrics (1 paper)Mathematical Biosciences (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Jack L. Warner
13 papers receiving 544 citations
Peers
Comparison fields: 5 of 114
- Statistics and Probability 127
- Health, Toxicology and Mutagenesis 163
- Atmospheric Science 186
- Environmental Engineering 101
- Automotive Engineering 54
Countries citing papers authored by Jack L. Warner
This map shows the geographic impact of Jack L. Warner'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 Jack L. Warner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jack L. Warner more than expected).
Fields of papers citing papers by Jack L. Warner
This network shows the impact of papers produced by Jack L. Warner. 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 Jack L. Warner. The network helps show where Jack L. Warner may publish in the future.
Co-authors
The 11 scholars most cited alongside Jack L. Warner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1974 | 188 | |
| 2 | 1971 | 104 | |
| 3 | 1984 | 100 | |
| 4 | 1973 | 77 | |
| 5 | 1979 | 52 | |
| 6 | 1974 | 47 | |
| 7 | 1977 | 14 | |
| 8 | 1976 | 12 | |
| 9 | 1984 | 8 | |
| 10 | 2019 | 7 | |
| 11 | 2004 | 5 | |
| 12 | 2018 | 1 | |
| 13 | 2022 | 1 |
About Jack L. Warner
Jack L. Warner is a scholar working on Health, Toxicology and Mutagenesis, Statistics and Probability, Applied Psychology, Automotive Engineering and Environmental Engineering, having authored 13 papers that have together received 616 indexed citations. Recurring topics across this work include Air Quality and Health Impacts (4 papers), Atmospheric chemistry and aerosols (2 papers), Advanced Statistical Methods and Models (2 papers), Air Quality Monitoring and Forecasting (2 papers), Impact of Light on Environment and Health (2 papers), Vehicle emissions and performance (2 papers), Human Resource Development and Performance Evaluation (2 papers) and Behavioral and Psychological Studies (1 paper). The work is most often cited by research in Statistics and Probability (127 citations), Health, Toxicology and Mutagenesis (163 citations), Atmospheric Science (186 citations), Environmental Engineering (101 citations) and Automotive Engineering (54 citations). Jack L. Warner has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Beat Kleiner, William S. Cleveland, R. Gnanadesikan, David F. Andrews, T. E. Graedel, John H. Flowers, Baoling Ma, Chuan Li, Williams John and Kim Judge. Their work appears in journals such as Science, Journal of Applied Psychology, Memory & Cognition, Biometrics and Mathematical Biosciences.
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.