Domina Asingizwe

482 citations
32 papers · 254 · h-index 9

Impact in

Papers in

Domina Asingizwe

27 papers receiving 246 citations

Peers

Domina Asingizwe
Comparison fields: 5 of 73
  • Ecological Modeling 63
  • Public Health, Environmental and Occupational Health 81
  • Modeling and Simulation 12
  • Research and Theory 2
  • Human Factors and Ergonomics 5
Replace Anwar Musah with:
Anwar Musah United Kingdom
Priya Balasubramaniam India
Upma Chitkara Australia
Lisa M. Rasmussen United States
Carmen L. Vidal Rodeiro United Kingdom
Yangyang Han China
Jesús Cebrino Spain
Camilo A. Triana Colombia
Oghenekaro Omodior United States
Rahmat Dapari Malaysia
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Citations per field
00.5×4.8×
Anwar Musah · 1×
Citations per year

Countries citing papers authored by Domina Asingizwe

Since Specialization
Citations

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

Fields of papers citing papers by Domina Asingizwe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202037
2 202030
3 201926
4 201326
5 201825
6 201822
7 202016
8 201914
9 20159
10 20168
11 20226
12 20245
13 20155
14 20214
15 20223
16 20153
17 20232
18 20242
19 20152
20 20162

About Domina Asingizwe

Domina Asingizwe is a scholar working on Public Health, Environmental and Occupational Health, Ecological Modeling, Sociology and Political Science, General Health Professions and Epidemiology, having authored 32 papers that have together received 254 indexed citations. Recurring topics across this work include Malaria Research and Control (10 papers), Species Distribution and Climate Change (5 papers), Mosquito-borne diseases and control (5 papers), Diabetes Management and Education (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Chronic Disease Management Strategies (2 papers), Agricultural risk and resilience (1 paper) and Sex work and related issues (1 paper). The work is most often cited by research in Ecological Modeling (63 citations), Public Health, Environmental and Occupational Health (81 citations), Modeling and Simulation (12 citations), Research and Theory (2 citations) and Human Factors and Ergonomics (5 citations). Domina Asingizwe has collaborated with scholars based in Rwanda, Netherlands and Canada. Frequent co-authors include P. Marijn Poortvliet, Constantianus J. M. Koenraadt, Léon Mutesa, A.J.H. van Vliet, Chantal Ingabire, Cees Leeuwis, Willem Takken, Bernard Abong’o, Emmanuel Hakizimana and Peter H. Feindt. Their work appears in journals such as Journal of Pharmaceutical Policy and Practice, Malaria Journal, PLoS ONE, NJAS - Wageningen Journal of Life Sciences and Global Health Research and Policy.

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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