Daniel Mwanga

1.2k citations
20 papers · 387 · h-index 11

Impact in

    • COVID-19 epidemiological studies
  • Health top 5%
    • Vaccine Coverage and Hesitancy
    • Intimate Partner and Family Violence

Papers in

Daniel Mwanga

18 papers receiving 381 citations

Peers

Daniel Mwanga
Comparison fields: 5 of 52
  • Modeling and Simulation 78
  • Health 105
  • Obstetrics and Gynecology 30
  • Clinical Psychology 72
  • Economics and Econometrics 73
Replace Faith Mbushi with:
Faith Mbushi United States
Eva Muluve Kenya
Beth Kangwana Kenya
Md. Zakiul Alam Bangladesh
Sharoda Dasgupta United States
Kegnie Shitu Ethiopia
Bruno Lankoandé Burkina Faso
Yohannes Kebede Ethiopia
Paula Spinola United Kingdom
Stacey Orangi Kenya
Daniel Mwanga relative to Faith Mbushi United States Faith Mbushi's profile →
Citations per field
00.5×
Faith Mbushi · 1×
Citations per year

Countries citing papers authored by Daniel Mwanga

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Mwanga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202087
2 202173
3 202168
4 202130
5 202123
6 202117
7 202116
8 202116
9 202313
10 202313
11 202212
12 20237
13 20245
14 20212
15 20222
16 20241
17 20241
18 20251
19 20240
20 20240

About Daniel Mwanga

Daniel Mwanga is a scholar working on Health, Pediatrics, Perinatology and Child Health, Epidemiology, Modeling and Simulation and Urban Studies, having authored 20 papers that have together received 387 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (3 papers), COVID-19 epidemiological studies (3 papers), Global Maternal and Child Health (3 papers), Urban and Rural Development Challenges (2 papers), COVID-19 and Mental Health (2 papers), COVID-19 Pandemic Impacts (2 papers), Chronic Disease Management Strategies (2 papers) and Artificial Intelligence in Healthcare (1 paper). The work is most often cited by research in Modeling and Simulation (78 citations), Health (105 citations), Obstetrics and Gynecology (30 citations), Clinical Psychology (72 citations) and Economics and Econometrics (73 citations). Daniel Mwanga has collaborated with scholars based in Kenya, United States and United Kingdom. Frequent co-authors include Timothy Abuya, Jessie Pinchoff, Karen Austrian, Eva Muluve, Faith Mbushi, Mercy Nzioki, Thoại D. Ngô, Beth Kangwana, James B. Tidwell and Rhoune Ochako. Their work appears in journals such as BMJ Open, Journal of Global Health, Journal of Adolescent Health, Vaccines and Environmental Science Atmospheres.

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.

Explore authors with similar magnitude of impact