Mandy Wilson

39 papers receiving 373 citations

Peers

Mandy Wilson
Comparison fields: 5 of 111
  • Modeling and Simulation 74
  • Medical Terminology 1
  • Public Administration 10
  • Health Information Management 11
  • Transportation 17
Replace Ashlynn R. Daughton with:
Ashlynn R. Daughton United States
Yiwang Zhou United States
Ai Kawazoe Japan
Suwardi Annas Indonesia
James Scheibner Australia
Ed de Quincey United Kingdom
Joan T. Matamalas United States
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Calvin Wai-Loon Ho Singapore
Mandy Wilson relative to Ashlynn R. Daughton United States Ashlynn R. Daughton's profile →
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 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201050
2 198539
3 201836
4
Making community participation meaningful: A handbook for development and assessment
200436
5 201733
6 202121
7 201519
8 201517
9 202113
10 201512
11 201211
12 202010
13 20229
14
Changing neighbourhoods: Lessons from the JRF Neighbourhood Programme
20079
15 20118
16 20158
17 20187
18 19827
19 20166
20 20135

About Mandy Wilson

Mandy Wilson is a scholar working on Modeling and Simulation, Epidemiology, Molecular Biology, Finance and Sociology and Political Science, having authored 46 papers that have together received 405 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (10 papers), Data-Driven Disease Surveillance (7 papers), Viral Infections and Outbreaks Research (3 papers), Scientific Computing and Data Management (3 papers), Community Development and Social Impact (3 papers), Housing, Finance, and Neoliberalism (2 papers), Rural development and sustainability (2 papers) and Data Visualization and Analytics (2 papers). The work is most often cited by research in Modeling and Simulation (74 citations), Medical Terminology (1 citation), Public Administration (10 citations), Health Information Management (11 citations) and Transportation (17 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, Frances Heywood, Danny Burns, Anil Vullikanti, Samarth Swarup and Achla Marathe. Their work appears in journals such as Nucleic Acids Research, Biochemistry, Bioinformatics, Epidemics and The South African Archaeological Bulletin.

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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