Neil de Wet

9 papers receiving 805 citations

Hit Papers

Potential effect of population and climate changes on glo...20022026201020182002200400600

Peers

Neil de Wet
Comparison fields: 5 of 98
  • Public Health, Environmental and Occupational Health 599
  • Infectious Diseases 400
  • Health, Toxicology and Mutagenesis 155
  • Sociology and Political Science 106
  • Modeling and Simulation 105
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Maquins Odhiambo Sewe Sweden
Anne Jones United Kingdom
Wendy Yap United States
Suchithra Naish Australia
T.H. Jetten Netherlands
Cory W. Morin United States
Paul E. Parham United Kingdom
J A Patz United States
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Countries citing papers authored by Neil de Wet

Since Specialization
Citations

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

Fields of papers citing papers by Neil de Wet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Neil de Wet. 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 Neil de Wet. The network helps show where Neil de Wet may publish in the future.

Co-authorship network of co-authors of Neil de Wet

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1
Climate change and infectious diseases
98
2
Hotspots: Modelling capacity for vector-borne disease risk analysis in New Zealand: A case study of Ochlerotatus camptorhynchus incursions in New Zealand
2
3
Hotspots: Exotic mosquito risk profiles for New Zealand
6
4
Climate variability and change and sea-level rise in the Pacific Islands region: a resource book for policy decision-makers, educators and other stakeholders
21
5 1
6
Potential effect of population and climate changes on global distribution of dengue fever: an empirical modelbreakdown →
721
7 22
8
Use of a computer model to identify potential hotspots for dengue fever in New Zealand.
25
9
Climate change vulnerability and adaptation assessment for Fiji
15

About Neil de Wet

Neil de Wet is a scholar working on Ecological Modeling, Health, Toxicology and Mutagenesis and Public Health, Environmental and Occupational Health, having authored 9 papers that have together received 911 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (4 papers), Viral Infections and Vectors (3 papers) and Climate Change and Health Impacts (2 papers). The work is most often cited by research in Modeling and Simulation (105 citations), Infectious Diseases (400 citations) and Public Health, Environmental and Occupational Health (599 citations). Neil de Wet has collaborated with scholars based in New Zealand and Australia. Frequent co-authors include Simon Hales, Alistair Woodward, John H. Maindonald, Jonathan A. Patz, John P. McCarty, Andrew K. Githeko, Ulisses Confalonieri, Philip Weinstein, R. A. Warrick and Rishi Raj. Their work appears in journals such as The Lancet, Environmental Health Perspectives and PubMed.

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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