Tim Lucas

27 papers receiving 469 citations

Peers

Tim Lucas
Comparison fields: 5 of 110
  • Ecological Modeling 91
  • Modeling and Simulation 62
  • Developmental Biology 12
  • Parasitology 35
  • Public Health, Environmental and Occupational Health 153
Replace Cecilia S. Andreazzi with:
Cecilia S. Andreazzi Brazil
Luca Nelli United Kingdom
Antoine Adde Switzerland
Alex McInturff United States
Penelope A. Hancock United Kingdom
Darin S. Carroll United States
Abdul Moeed Pakistan
Almira L. Hoogesteijn Mexico
Meera Anna Oommen India
Luca Delucchi Italy
Tim Lucas relative to Cecilia S. Andreazzi Brazil Cecilia S. Andreazzi's profile →
Citations per field
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Cecilia S. Andreazzi · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Tim Lucas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tim Lucas Line = papers co-authored together Tim Lucas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202098
2 201865
3 201549
4 201741
5 201939
6 201729
7 202126
8 202022
9 202121
10 202116
11 202311
12 20219
13 20208
14 20207
15 20225
16 20215
17 20185
18
On the use of LFA tests in contact tracing: preliminary findings
20204
19 20213
20 20233

About Tim Lucas

Tim Lucas is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation, Nature and Landscape Conservation, Ecological Modeling and Infectious Diseases, having authored 29 papers that have together received 474 indexed citations. Recurring topics across this work include Malaria Research and Control (7 papers), COVID-19 epidemiological studies (6 papers), Mosquito-borne diseases and control (6 papers), Species Distribution and Climate Change (4 papers), Wildlife Ecology and Conservation (3 papers), COVID-19 Digital Contact Tracing (2 papers), Behavioral Health and Interventions (2 papers) and Evolution and Genetic Dynamics (2 papers). The work is most often cited by research in Ecological Modeling (91 citations), Modeling and Simulation (62 citations), Developmental Biology (12 citations), Parasitology (35 citations) and Public Health, Environmental and Occupational Health (153 citations). Tim Lucas has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Kate E. Jones, David W. Redding, Tim M. Blackburn, Robin Freeman, Daniel J. Weiss, J. Marcus Rowcliffe, Peter W. Gething, Huong Lan Thi Nguyen, T. Déirdre Hollingsworth and Katherine E. Battle. Their work appears in journals such as Philosophical Transactions of the Royal Society B Biological Sciences, Methods in Ecology and Evolution, Infectious Disease Modelling, Scientific Reports and Spatial and Spatio-temporal Epidemiology.

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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