Audrey Lustig

1.2k total citations
34 papers, 570 citations indexed

About

Audrey Lustig is a scholar working on Modeling and Simulation, Infectious Diseases and Epidemiology. According to data from OpenAlex, Audrey Lustig has authored 34 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Modeling and Simulation, 10 papers in Infectious Diseases and 9 papers in Epidemiology. Recurrent topics in Audrey Lustig's work include COVID-19 epidemiological studies (17 papers), SARS-CoV-2 and COVID-19 Research (8 papers) and Influenza Virus Research Studies (6 papers). Audrey Lustig is often cited by papers focused on COVID-19 epidemiological studies (17 papers), SARS-CoV-2 and COVID-19 Research (8 papers) and Influenza Virus Research Studies (6 papers). Audrey Lustig collaborates with scholars based in New Zealand, United States and United Kingdom. Audrey Lustig's co-authors include Michael J. Plank, Rachelle N. Binny, Shaun C. Hendy, Nicholas Steyn, Susan P. Worner, Alex James, Daniel B. Stouffer, Arnold J. Levine, Oliver J. Maclaren and Crile Doscher and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Virology.

In The Last Decade

Audrey Lustig

33 papers receiving 556 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Audrey Lustig New Zealand	16	186	129	119	95	66	34	570
Morgan P. Kain United States	11	83 0.4×	124 1.0×	110 0.9×	92 1.0×	23 0.3×	14	465
William J. M. Probert United Kingdom	14	187 1.0×	103 0.8×	118 1.0×	129 1.4×	85 1.3×	33	642
Thomas Neyens Belgium	13	75 0.4×	37 0.3×	68 0.6×	33 0.3×	66 1.0×	52	421
Luojun Yang United States	8	57 0.3×	44 0.3×	66 0.6×	33 0.3×	44 0.7×	13	263
Abdul Moeed Pakistan	18	53 0.3×	164 1.3×	430 3.6×	80 0.8×	92 1.4×	76	1.3k
Rachelle N. Binny New Zealand	17	204 1.1×	105 0.8×	162 1.4×	59 0.6×	57 0.9×	44	605
Helen Gurgel Brazil	15	41 0.2×	81 0.6×	111 0.9×	135 1.4×	41 0.6×	59	632
Casey M. Zipfel United States	7	113 0.6×	262 2.0×	73 0.6×	32 0.3×	96 1.5×	10	694
Manuel C. Gomes Portugal	18	115 0.6×	135 1.0×	185 1.6×	246 2.6×	51 0.8×	42	1.0k
Renato Mendes Coutinho Brazil	13	99 0.5×	154 1.2×	113 0.9×	68 0.7×	27 0.4×	33	558

Countries citing papers authored by Audrey Lustig

Since Specialization

Citations

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

Fields of papers citing papers by Audrey Lustig

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Audrey Lustig

This figure shows the co-authorship network connecting the top 25 collaborators of Audrey Lustig. A scholar is included among the top collaborators of Audrey Lustig 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 Audrey Lustig. Audrey Lustig is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Arnold, Richard, Rachelle N. Binny, Thomas Lumley, et al.. (2024). Estimating the risk of SARS-CoV-2 infection in New Zealand border arrivals. SHILAP Revista de lepidopterología. 2(1). 27–27.

Lustig, Audrey, et al.. (2024). Mātauranga Māori framework for surveillance of plant pathogens. Frontiers in Forests and Global Change. 7. 1 indexed citations

Lustig, Audrey, et al.. (2022). Estimating decay curves of neutralizing antibodies to SARS-CoV-2 infection. Mathematical Medicine and Biology A Journal of the IMA. 39(4). 368–381. 2 indexed citations

Plank, Michael J., Alex James, Audrey Lustig, et al.. (2022). Potential reduction in transmission of COVID-19 by digital contact tracing systems: a modelling study. Mathematical Medicine and Biology A Journal of the IMA. 39(2). 156–168. 8 indexed citations

Binny, Rachelle N., Patricia Priest, Nigel French, et al.. (2022). Sensitivity of Reverse Transcription Polymerase Chain Reaction Tests for Severe Acute Respiratory Syndrome Coronavirus 2 Through Time. The Journal of Infectious Diseases. 227(1). 9–17. 24 indexed citations

Binny, Rachelle N., et al.. (2022). Real-time estimation of the effective reproduction number of SARS-CoV-2 in Aotearoa New Zealand. PeerJ. 10. e14119–e14119. 4 indexed citations

Steyn, Nicholas, et al.. (2022). A COVID-19 vaccination model for Aotearoa New Zealand. Scientific Reports. 12(1). 2720–2720. 22 indexed citations

Lustig, Audrey, et al.. (2022). Modelling the dynamics of infection, waning of immunity and re-infection with the Omicron variant of SARS-CoV-2 in Aotearoa New Zealand. Epidemics. 41. 100657–100657. 15 indexed citations

Plank, Michael J., et al.. (2022). Using mechanistic model-based inference to understand and project epidemic dynamics with time-varying contact and vaccination rates. Scientific Reports. 12(1). 20451–20451. 7 indexed citations

10.

James, Alex, Michael J. Plank, Rachelle N. Binny, et al.. (2021). A structured model for COVID-19 spread: modelling age and healthcare inequities. Mathematical Medicine and Biology A Journal of the IMA. 38(3). 299–313. 12 indexed citations

11.

James, Alex, Michael J. Plank, Shaun C. Hendy, et al.. (2021). Successful contact tracing systems for COVID-19 rely on effective quarantine and isolation. PLoS ONE. 16(6). e0252499–e0252499. 22 indexed citations

12.

James, Alex, Michael J. Plank, Shaun C. Hendy, et al.. (2021). Model-free estimation of COVID-19 transmission dynamics from a complete outbreak. PLoS ONE. 16(3). e0238800–e0238800. 13 indexed citations

13.

Binny, Rachelle N., Michael G. Baker, Shaun C. Hendy, et al.. (2021). Early intervention is the key to success in COVID-19 control. Royal Society Open Science. 8(11). 210488–210488. 17 indexed citations

14.

Godsoe, William, et al.. (2018). Using niche conservatism information to prioritize hotspots of invasion by non‐native freshwater invertebrates in New Zealand. Diversity and Distributions. 24(12). 1802–1815. 33 indexed citations

15.

Lustig, Audrey, Susan P. Worner, Joel P. W. Pitt, et al.. (2017). A modeling framework for the establishment and spread of invasive species in heterogeneous environments. Ecology and Evolution. 7(20). 8338–8348. 27 indexed citations

16.

Lustig, Audrey, Daniel B. Stouffer, Crile Doscher, & Susan P. Worner. (2017). Landscape metrics as a framework to measure the effect of landscape structure on the spread of invasive insect species. Landscape Ecology. 32(12). 2311–2325. 17 indexed citations

17.

Lustig, Audrey, et al.. (2015). Towards more predictable and consistent landscape metrics across spatial scales. Ecological Indicators. 57. 11–21. 66 indexed citations

18.

Lustig, Audrey & Diane M. Beck. (2012). Task-relevant and Task-irrelevant Dimensions Are Modulated Independently at a Task-irrelevant Location. Journal of Cognitive Neuroscience. 24(9). 1884–1895. 12 indexed citations

19.

Sreenivasan, Kartik K., Jonathan Goldstein, Audrey Lustig, Luis R. Rivas, & Amishi P. Jha. (2009). Attention to faces modulates early face processing during low but not high face discriminability. Attention Perception & Psychophysics. 71(4). 837–846. 32 indexed citations

20.

Lustig, Audrey & Arnold J. Levine. (1992). One hundred years of virology. Journal of Virology. 66(8). 4629–4631. 40 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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