Tim Lucas

62.6k total citations
29 papers, 474 citations indexed

About

Tim Lucas is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation and Nature and Landscape Conservation. According to data from OpenAlex, Tim Lucas has authored 29 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Public Health, Environmental and Occupational Health, 6 papers in Modeling and Simulation and 4 papers in Nature and Landscape Conservation. Recurrent topics in Tim Lucas's work include Malaria Research and Control (7 papers), COVID-19 epidemiological studies (6 papers) and Mosquito-borne diseases and control (6 papers). Tim Lucas is often cited by papers focused on Malaria Research and Control (7 papers), COVID-19 epidemiological studies (6 papers) and Mosquito-borne diseases and control (6 papers). Tim Lucas collaborates with scholars based in United Kingdom, Australia and United States. Tim Lucas's co-authors include Kate E. Jones, David W. Redding, Daniel J. Weiss, J. Marcus Rowcliffe, Robin Freeman, Tim M. Blackburn, Peter W. Gething, Huong Lan Thi Nguyen, T. Déirdre Hollingsworth and Ewan Cameron and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Tim Lucas

27 papers receiving 469 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tim Lucas United Kingdom 11 153 122 91 63 62 29 474
Antoine Adde Switzerland 12 292 1.9× 88 0.7× 101 1.1× 54 0.9× 49 0.8× 33 474
Cecilia S. Andreazzi Brazil 14 115 0.8× 116 1.0× 47 0.5× 105 1.7× 35 0.6× 28 484
Helen Gurgel Brazil 15 295 1.9× 111 0.9× 40 0.4× 24 0.4× 41 0.7× 59 632
Luca Nelli United Kingdom 11 121 0.8× 228 1.9× 41 0.5× 41 0.7× 12 0.2× 44 502
Bonnie Mappin United Kingdom 15 519 3.4× 116 1.0× 33 0.4× 41 0.7× 63 1.0× 18 880
Rachelle E. Desrochers Canada 10 164 1.1× 67 0.5× 57 0.6× 86 1.4× 9 0.1× 19 433
Skylar Hopkins United States 11 93 0.6× 191 1.6× 19 0.2× 23 0.4× 16 0.3× 22 442
Renato Mendes Coutinho Brazil 13 125 0.8× 113 0.9× 55 0.6× 42 0.7× 99 1.6× 33 558
M.J. Packer United Kingdom 6 292 1.9× 103 0.8× 73 0.8× 16 0.3× 40 0.6× 7 532
Darin S. Carroll United States 13 99 0.6× 173 1.4× 71 0.8× 31 0.5× 11 0.2× 20 550

Countries citing papers authored by Tim Lucas

Since Specialization
Citations

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

Fields of papers citing papers by Tim Lucas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tim Lucas

This figure shows the co-authorship network connecting the top 25 collaborators of Tim Lucas. A scholar is included among the top collaborators of Tim Lucas 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 Tim Lucas. Tim Lucas 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.
Gray, Laura J., Sarah Anthony, Rachel Hobson, et al.. (2025). A feasibility study evaluating the usability and acceptability of the personalised space technology exercise platform mobile application. Scientific Reports. 15(1). 36370–36370.
2.
Struthers, Daniel P., et al.. (2024). Statistical stream temperature modelling with SSN and INLA: an introduction for conservation practitioners. Canadian Journal of Fisheries and Aquatic Sciences. 81(4). 417–432. 1 indexed citations
3.
Nightingale, Emily, Swaminathan Subramanian, Lloyd A. C. Chapman, et al.. (2024). Inferring the regional distribution of Visceral Leishmaniasis incidence from data at different spatial scales. SHILAP Revista de lepidopterología. 4(1). 240–240. 1 indexed citations
4.
Gray, Laura J., et al.. (2024). Evaluation of the usability and acceptability of the P-STEP® mobile app: feasibility study protocol. Pilot and Feasibility Studies. 10(1). 120–120. 1 indexed citations
5.
Okell, Lucy, Titus K. Kwambai, Aggrey Dhabangi, et al.. (2023). Projected health impact of post-discharge malaria chemoprevention among children with severe malarial anaemia in Africa. Nature Communications. 14(1). 402–402. 11 indexed citations
6.
Nandi, A., Tim Lucas, Rohan Arambepola, Peter W. Gething, & Daniel J. Weiss. (2023). disaggregation: An R Package for Bayesian Spatial Disaggregation Modeling. Journal of Statistical Software. 106(11). 3 indexed citations
7.
Franklinos, Lydia H. V., David W. Redding, Tim Lucas, et al.. (2022). Joint spatiotemporal modelling reveals seasonally dynamic patterns of Japanese encephalitis vector abundance across India. PLoS neglected tropical diseases. 16(2). e0010218–e0010218. 5 indexed citations
8.
Lucas, Tim, A. Nandi, Elisabeth G. Chestnutt, et al.. (2021). Mapping Malaria by Sharing Spatial Information Between Incidence and Prevalence Data Sets. Journal of the Royal Statistical Society Series C (Applied Statistics). 70(3). 733–749. 3 indexed citations
9.
Crellen, Thomas, Li Pi, Emma L. Davis, et al.. (2021). Dynamics of SARS-CoV-2 with waning immunity in the UK population. Philosophical Transactions of the Royal Society B Biological Sciences. 376(1829). 20200274–20200274. 26 indexed citations
10.
Graham, Matthew, Diepreye Ayabina, Tim Lucas, et al.. (2021). SCHISTOX: An individual based model for the epidemiology and control of schistosomiasis. Infectious Disease Modelling. 6. 438–447. 16 indexed citations
11.
Lucas, Tim, Emma L. Davis, Diepreye Ayabina, et al.. (2021). Engagement and adherence trade-offs for SARS-CoV-2 contact tracing. Philosophical Transactions of the Royal Society B Biological Sciences. 376(1829). 20200270–20200270. 9 indexed citations
12.
Python, André, Andreas Bender, Marta Blangiardo, et al.. (2021). A Downscaling Approach to Compare COVID-19 Count Data from Databases Aggregated at Different Spatial Scales. Journal of the Royal Statistical Society Series A (Statistics in Society). 185(1). 202–218. 5 indexed citations
13.
Python, André, Andreas Bender, A. Nandi, et al.. (2021). Predicting non-state terrorism worldwide. Science Advances. 7(31). 21 indexed citations
14.
Lucas, Tim, et al.. (2020). Responsible modelling: Unit testing for infectious disease epidemiology. Epidemics. 33. 100425–100425. 8 indexed citations
15.
Lucas, Tim. (2020). A translucent box: interpretable machine learning in ecology. Ecological Monographs. 90(4). 98 indexed citations
16.
Pfeffer, Daniel, Tim Lucas, Daniel May, et al.. (2018). malariaAtlas: an R interface to global malariometric data hosted by the Malaria Atlas Project. Malaria Journal. 17(1). 352–352. 65 indexed citations
17.
Redding, David W., Tim Lucas, Tim M. Blackburn, & Kate E. Jones. (2017). Evaluating Bayesian spatial methods for modelling species distributions with clumped and restricted occurrence data. PLoS ONE. 12(11). e0187602–e0187602. 41 indexed citations
18.
Lucas, Tim, et al.. (2014). A maturity scale for indigenous employment in the Australian minerals industry. Queensland's institutional digital repository (The University of Queensland). 3(1). 33–37. 1 indexed citations
19.
Lucas, Tim. (2004). Space Is the Place (Film). Sight & sound/Sight and sound. 14(1). 67. 1 indexed citations
20.
Lucas, Tim. (2004). Jennifer's secret. Sight & sound/Sight and sound. 14(12). 75. 1 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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