Samuel Manda

119 papers receiving 2.1k citations

Peers

Samuel Manda
Comparison fields: 5 of 145
  • Infectious Diseases 390
  • Health 146
  • Pediatrics, Perinatology and Child Health 295
  • Modeling and Simulation 72
  • Nutrition and Dietetics 181
Replace Samuel J. Clark with:
Samuel J. Clark United States
Pascal Geldsetzer United States
Miguel Ángel Luque-Fernández United Kingdom
Bethany Hedt‐Gauthier United States
Mark Collinson South Africa
Mohammad H. Rahbar United States
Temesgen Zewotir South Africa
Eric Tchetgen Tchetgen United States
Jessie K. Edwards United States
Sam Watson United Kingdom
Samuel Manda relative to Samuel J. Clark United States Samuel J. Clark's profile →
Citations per field
00.5×1.5×1.9×
Samuel J. Clark · 1×
Citations per year

Countries citing papers authored by Samuel Manda

Since Specialization
Citations

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

Fields of papers citing papers by Samuel Manda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 126 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199995
2 200883
3 201578
4 202273
5 201566
6 200561
7 202161
8 200460
9 201654
10 200153
11 201851
12 200849
13 201646
14 201541
15 202239
16 201938
17 201338
18 201437
19 200735
20 200530

About Samuel Manda

Samuel Manda is a scholar working on Infectious Diseases, Pediatrics, Perinatology and Child Health, General Health Professions, Economics and Econometrics and Statistics and Probability, having authored 126 papers that have together received 2.1k indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (19 papers), Global Maternal and Child Health (14 papers), Statistical Methods and Bayesian Inference (11 papers), COVID-19 epidemiological studies (9 papers), Child Nutrition and Water Access (8 papers), Statistical Methods and Inference (8 papers), Bayesian Methods and Mixture Models (6 papers) and Insurance, Mortality, Demography, Risk Management (6 papers). The work is most often cited by research in Infectious Diseases (390 citations), Health (146 citations), Pediatrics, Perinatology and Child Health (295 citations), Modeling and Simulation (72 citations) and Nutrition and Dietetics (181 citations). Samuel Manda has collaborated with scholars based in South Africa, United Kingdom and United States. Frequent co-authors include Renate Meyer, Mark S. Gilthorpe, Henry Mwambi, William M. Bolstad, Carl Lombard, Jonathan Mutau Kamwi, Tarylee Reddy, Chris P Gale, Alistair S. Hall and John Birkhead. Their work appears in journals such as PLoS ONE, International Journal of Environmental Research and Public Health, Geospatial health, Scientific Reports and BMC Medical Research Methodology.

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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