Dean Paini

3.4k total citations · 2 hit papers
53 papers, 2.4k citations indexed

About

Dean Paini is a scholar working on Insect Science, Ecology, Evolution, Behavior and Systematics and Plant Science. According to data from OpenAlex, Dean Paini has authored 53 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Insect Science, 21 papers in Ecology, Evolution, Behavior and Systematics and 17 papers in Plant Science. Recurrent topics in Dean Paini's work include Plant and animal studies (19 papers), Insect and Pesticide Research (10 papers) and Insect and Arachnid Ecology and Behavior (10 papers). Dean Paini is often cited by papers focused on Plant and animal studies (19 papers), Insect and Pesticide Research (10 papers) and Insect and Arachnid Ecology and Behavior (10 papers). Dean Paini collaborates with scholars based in Australia, United States and New Zealand. Dean Paini's co-authors include David Cook, Paul J. De Barro, Susan P. Worner, Matthew B. Thomas, A. W. Sheppard, Stuart R. Reitz, J. E. Funderburk, J. Dale Roberts, K.L. Bayliss and Michael Hodda and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Dean Paini

53 papers receiving 2.3k citations

Hit Papers

Global threat to agriculture from invasive species 2016 2026 2019 2022 2016 2020 100 200 300 400 500

Peers

Dean Paini
John M. Kean New Zealand
Roger D. Magarey United States
Susan P. Worner New Zealand
Jeffrey A. Lockwood United States
John E. Banks United States
Tobin D. Northfield United States
Brigitte Tenhumberg United States
John M. Kean New Zealand
Dean Paini
Citations per year, relative to Dean Paini Dean Paini (= 1×) peers John M. Kean

Countries citing papers authored by Dean Paini

Since Specialization
Citations

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

Fields of papers citing papers by Dean Paini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dean Paini

This figure shows the co-authorship network connecting the top 25 collaborators of Dean Paini. A scholar is included among the top collaborators of Dean Paini 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 Dean Paini. Dean Paini 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
1.
Klinken, Rieks D. van, et al.. (2024). A spatio-temporal modelling approach to understand the effect of urban fruit fly outbreaks on peri-urban orchards. Ecological Informatics. 80. 102536–102536. 1 indexed citations
2.
Marco, Moreno Di, et al.. (2024). Prediction of viral spillover risk based on the mass action principle. One Health. 18. 100737–100737. 2 indexed citations
3.
Grzybowska, Hanna, Roslyn I. Hickson, Bishal Bhandari, et al.. (2022). SAfE transport: wearing face masks significantly reduces the spread of COVID-19 on trains. BMC Infectious Diseases. 22(1). 694–694. 6 indexed citations
4.
Darbro, Jonathan M., et al.. (2021). Timely surveillance and temporal calibration of disease response against human infectious diseases. PLoS ONE. 16(10). e0258332–e0258332. 2 indexed citations
5.
Mans, Bernard, et al.. (2020). Vaccination strategies on dynamic networks with indirect transmission links and limited contact information. PLoS ONE. 15(11). e0241612–e0241612. 6 indexed citations
6.
Hoog, Frank de, et al.. (2020). Forecasting the probability of local dengue outbreaks in Queensland, Australia. Epidemics. 34. 100422–100422. 2 indexed citations
7.
Jansen, Cassie C., et al.. (2019). A global model for predicting the arrival of imported dengue infections. PLoS ONE. 14(12). e0225193–e0225193. 24 indexed citations
8.
Northfield, Tobin D., Susan G. W. Laurance, Margaret M. Mayfield, et al.. (2018). Native turncoats and indirect facilitation of species invasions. Proceedings of the Royal Society B Biological Sciences. 285(1871). 20171936–20171936. 19 indexed citations
9.
Paini, Dean, et al.. (2018). Global establishment threat from a major forest pest via international shipping: Lymantria dispar. Scientific Reports. 8(1). 13723–13723. 18 indexed citations
10.
Kim, Minkyoung, Dean Paini, & Raja Jurdak. (2018). Real-world diffusion dynamics based on point process approaches: a review. Artificial Intelligence Review. 53(1). 321–350. 15 indexed citations
11.
Reitz, Stuart R., et al.. (2017). Pesticide-mediated interspecific competition between local and invasive thrips pests. Scientific Reports. 7(1). 40512–40512. 36 indexed citations
12.
Paini, Dean, A. W. Sheppard, David Cook, et al.. (2016). Global threat to agriculture from invasive species. Proceedings of the National Academy of Sciences. 113(27). 7575–7579. 594 indexed citations breakdown →
13.
Paini, Dean, et al.. (2014). The role of global trade and transport network topology in the human‐mediated dispersal of alien species. Ecology Letters. 18(2). 188–199. 185 indexed citations
14.
Morin, L., et al.. (2013). Can Global Weed Assemblages Be Used to Predict Future Weeds?. PLoS ONE. 8(2). e55547–e55547. 14 indexed citations
15.
Worner, Susan P., Muriel Gevrey, René Eschen, et al.. (2013). Prioritizing the risk of plant pests by clustering methods; self-organising maps, k-means and hierarchical clustering. NeoBiota. 18. 83–102. 16 indexed citations
16.
Paini, Dean & Denys Yemshanov. (2012). Modelling the Arrival of Invasive Organisms via the International Marine Shipping Network: A Khapra Beetle Study. PLoS ONE. 7(9). e44589–e44589. 38 indexed citations
17.
Cook, David, Rob Fraser, Dean Paini, et al.. (2011). Biosecurity and Yield Improvement Technologies Are Strategic Complements in the Fight against Food Insecurity. PLoS ONE. 6(10). e26084–e26084. 45 indexed citations
18.
Paini, Dean, Susan P. Worner, David Cook, Paul J. De Barro, & Matthew B. Thomas. (2010). Threat of invasive pests from within national borders. Nature Communications. 1(1). 115–115. 48 indexed citations
19.
Northfield, Tobin D., Russell F. Mizell, Dean Paini, et al.. (2009). Dispersal, Patch Leaving, and Distribution of <I>Homalodisca vitripennis</I> (Hemiptera: Cicadellidae). Environmental Entomology. 38(1). 183–191. 15 indexed citations
20.
Paini, Dean, J. E. Funderburk, & Stuart R. Reitz. (2007). Competitive exclusion of a worldwide invasive pest by a native. Quantifying competition between two phytophagous insects on two host plant species. Journal of Animal Ecology. 77(1). 184–190. 73 indexed citations

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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