Damian Clancy
Impact in
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies
- Agronomy and Crop Science top 5%
- Animal Disease Management and Epidemiology
Papers in
-
- COVID-19 epidemiological studies 32
-
- Insect-Plant Interactions and Control 11
- Co-authors
- Nigel FrenchFrank BallRoger BowersRobert ChristleyJoanne TurnerPhilip D. O’NeillGina PinchbeckRachel R. Bennett
- Journals
- Journal of Applied Probability (13 papers)Journal of Economic Entomology (12 papers)Mathematical Biosciences (8 papers)Journal of Theoretical Biology (3 papers)Journal of Mathematical Biology (3 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Damian Clancy
67 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 116
- Modeling and Simulation 487
- Agronomy and Crop Science 226
- Insect Science 220
- Public Health, Environmental and Occupational Health 437
- Parasitology 85
Countries citing papers authored by Damian Clancy
This map shows the geographic impact of Damian Clancy'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 Damian Clancy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Damian Clancy more than expected).
Fields of papers citing papers by Damian Clancy
This network shows the impact of papers produced by Damian Clancy. 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 Damian Clancy. The network helps show where Damian Clancy may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Damian Clancy, 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 | 2023 | 1 | |
| 2 | 2018 | 6 | |
| 3 | 2015 | 1 | |
| 4 | 2013 | 15 | |
| 5 | 2013 | 14 | |
| 6 | 2012 | 13 | |
| 7 | 2009 | 5 | |
| 8 | 2009 | 17 | |
| 9 | 2008 | 30 | |
| 10 | 2007 | 12 | |
| 11 | 2006 | 31 | |
| 12 | 2006 | 7 | |
| 13 | 2006 | 8 | |
| 14 | 2005 | 3 | |
| 15 | 2005 | 275 | |
| 16 | 2002 | 41 | |
| 17 | 2001 | 5 | |
| 18 | 1999 | 83 | |
| 19 | 1999 | 28 | |
| 20 | 1998 | 5 |
About Damian Clancy
Damian Clancy is a scholar working on Modeling and Simulation, Insect Science, Public Health, Environmental and Occupational Health, Agronomy and Crop Science and Mathematical Physics, having authored 69 papers that have together received 1.4k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (32 papers), Mathematical and Theoretical Epidemiology and Ecology Models (32 papers), Evolution and Genetic Dynamics (14 papers), Insect-Plant Interactions and Control (11 papers), Animal Disease Management and Epidemiology (8 papers), Complex Network Analysis Techniques (7 papers), Stochastic processes and statistical mechanics (7 papers) and Salmonella and Campylobacter epidemiology (5 papers). The work is most often cited by research in Modeling and Simulation (487 citations), Agronomy and Crop Science (226 citations), Insect Science (220 citations), Public Health, Environmental and Occupational Health (437 citations) and Parasitology (85 citations). Damian Clancy has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Nigel French, Frank Ball, Roger Bowers, Robert Christley, Joanne Turner, Philip D. O’Neill, Gina Pinchbeck, Rachel R. Bennett, Yanni Xiao and H. D. Pierce. Their work appears in journals such as Journal of Applied Probability, Journal of Economic Entomology, Mathematical Biosciences, Journal of Theoretical Biology and Journal of Mathematical Biology.
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.