Mandy Wilson

36 papers receiving 336 citations

Peers

Mandy Wilson
Comparison fields: 5 of 110
  • Modeling and Simulation 84
  • Health 20
  • Public Administration 8
  • Transportation 14
  • Epidemiology 72
Replace Ashlynn R. Daughton with:
Ashlynn R. Daughton United States
Lars Seemann United States
Nicholas Generous United States
Yiwang Zhou United States
Pieter-Jan Van Camp United States
D. Michael Goedecke United States
Boseung Choi South Korea
Jomar F. Rabajante Philippines
Zsolt Vizi Hungary
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Citations per field
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Ashlynn R. Daughton · 1×
Citations per year

Countries citing papers authored by Mandy Wilson

Since Specialization
Citations

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

Fields of papers citing papers by Mandy Wilson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mandy Wilson, 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 Mandy Wilson Line = papers co-authored together Mandy Wilson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201045
2 198539
3 201835
4 201732
5
Making community participation meaningful: A handbook for development and assessment
200430
6 202119
7 201517
8 201514
9 201512
10 202111
11 201211
12 202010
13
Changing neighbourhoods: Lessons from the JRF Neighbourhood Programme
20078
14 20117
15 20157
16 20227
17 20166
18 19826
19 20185
20
What works in assessing community participation
20045

About Mandy Wilson

Mandy Wilson is a scholar working on Modeling and Simulation, Epidemiology, Molecular Biology, Sociology and Political Science and Finance, having authored 42 papers that have together received 367 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (12 papers), Data-Driven Disease Surveillance (8 papers), Influenza Virus Research Studies (4 papers), Gene Regulatory Network Analysis (3 papers), Community Development and Social Impact (3 papers), Viral Infections and Outbreaks Research (3 papers), Plant Molecular Biology Research (2 papers) and Plant Virus Research Studies (2 papers). The work is most often cited by research in Modeling and Simulation (84 citations), Health (20 citations), Public Administration (8 citations), Transportation (14 citations) and Epidemiology (72 citations). Mandy Wilson has collaborated with scholars based in United States, United Kingdom and Slovenia. Frequent co-authors include Jean Peccoud, Frederick W. Dahlquist, Yizhi Cai, Madhav Marathe, Bryan Lewis, Samarth Swarup, Danny Burns, Anil Vullikanti, Frances Heywood and Achla Marathe. Their work appears in journals such as Nucleic Acids Research, Biochemistry, Bioinformatics, JMIR Public Health and Surveillance and Nature Biotechnology.

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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