Kevin Dick
Impact in
- Virology top 10%
- Poxvirus research and outbreaks
-
- Atmospheric chemistry and aerosols
Papers in
-
- Bioinformatics and Genomic Networks 7
- Protein Structure and Dynamics 3
-
- Advanced Neural Network Applications 3
- Co-authors
- James R. Green (21 shared papers)John G. Watson (2 shared papers)Judith C. Chow (2 shared papers)John Lenard (1 shared paper)Jingxin Cao (2 shared papers)Xiangzhi Meng (1 shared paper)L.‐W. Antony Chen (1 shared paper)Canhua Jiang (1 shared paper)
- Journals
- Scientific Reports (6 papers)Journal of Visualized Experiments (2 papers)Quality & Quantity (1 paper)iScience (1 paper)Journal of Virology (1 paper)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Kevin Dick
41 papers receiving 550 citations
Peers
Comparison fields: 5 of 137
- Virology 50
- Atmospheric Science 96
- Health, Toxicology and Mutagenesis 74
- Environmental Engineering 50
- Global and Planetary Change 70
Countries citing papers authored by Kevin Dick
This map shows the geographic impact of Kevin Dick'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 Kevin Dick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Dick more than expected).
Fields of papers citing papers by Kevin Dick
This network shows the impact of papers produced by Kevin Dick. 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 Kevin Dick. The network helps show where Kevin Dick may publish in the future.
Co-authors
The 25 scholars most cited alongside Kevin Dick, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 61 | |
| 2 | 2019 | 61 | |
| 3 | 2012 | 60 | |
| 4 | 2015 | 43 | |
| 5 | 2007 | 36 | |
| 6 | 2004 | 33 | |
| 7 | 2021 | 27 | |
| 8 | 2020 | 20 | |
| 9 | 2018 | 19 | |
| 10 | 2017 | 19 | |
| 11 | 2012 | 19 | |
| 12 | XML: A Manager's Guide | 2002 | 17 |
| 13 | 1976 | 16 | |
| 14 | 2020 | 13 | |
| 15 | 2018 | 13 | |
| 16 | 2012 | 13 | |
| 17 | 2021 | 13 | |
| 18 | 2009 | 11 | |
| 19 | 2021 | 8 | |
| 20 | 2018 | 6 |
About Kevin Dick
Kevin Dick is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Epidemiology, Computational Theory and Mathematics and Economics and Econometrics, having authored 43 papers that have together received 564 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (7 papers), Computational Drug Discovery Methods (4 papers), Protein Structure and Dynamics (3 papers), Advanced Neural Network Applications (3 papers), Atmospheric chemistry and aerosols (2 papers), Air Quality and Health Impacts (2 papers), Memory Processes and Influences (2 papers) and Memory and Neural Mechanisms (2 papers). The work is most often cited by research in Virology (50 citations), Atmospheric Science (96 citations), Health, Toxicology and Mutagenesis (74 citations), Environmental Engineering (50 citations) and Global and Planetary Change (70 citations). Kevin Dick has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include James R. Green, John G. Watson, Judith C. Chow, John Lenard, Jingxin Cao, Xiangzhi Meng, L.‐W. Antony Chen, Canhua Jiang, Janilyn Arsenio and Yan Xiang. Their work appears in journals such as Scientific Reports, Journal of Visualized Experiments, Quality & Quantity, iScience and Journal of Virology.
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.