Samuel Bawa

26 papers receiving 193 citations

Peers

Samuel Bawa
Comparison fields: 5 of 41
  • Health 80
  • Modeling and Simulation 21
  • Infectious Diseases 40
  • Cardiology and Cardiovascular Medicine 36
  • Epidemiology 54
Replace Charles Korir with:
Charles Korir United States
Ibrahim Dadari United States
Edna Moturi United States
Samantha Dolan United States
Alex Adjagba France
Alessandro Miglietta Italy
Sarah Poser United States
Héctor Gallardo‐Rincón Mexico
Joyce Benoit United States
Dafrossa Lyimo Tanzania
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Citations per year

Countries citing papers authored by Samuel Bawa

Since Specialization
Citations

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

Fields of papers citing papers by Samuel Bawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201632
2 201819
3 201616
4 201816
5 202114
6 201814
7 201612
8 201512
9 20218
10 20217
11 20187
12 20216
13 20206
14 20165
15 20235
16 20215
17
Village health workers' and traditional birth attendants' record keeping practices in two rural LGAs in Oyo State, Nigeria.
20035
18 20232
19 20232
20 20162

About Samuel Bawa

Samuel Bawa is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine, Health, Infectious Diseases and Pediatrics, Perinatology and Child Health, having authored 28 papers that have together received 205 indexed citations. Recurring topics across this work include Virology and Viral Diseases (9 papers), Viral Infections and Immunology Research (5 papers), Vaccine Coverage and Hesitancy (3 papers), Global Maternal and Child Health (2 papers), Food Safety and Hygiene (1 paper), Viral gastroenteritis research and epidemiology (1 paper), Global Health Care Issues (1 paper) and vaccines and immunoinformatics approaches (1 paper). The work is most often cited by research in Health (80 citations), Modeling and Simulation (21 citations), Infectious Diseases (40 citations), Cardiology and Cardiovascular Medicine (36 citations) and Epidemiology (54 citations). Samuel Bawa has collaborated with scholars based in Nigeria, United States and Republic of the Congo. Frequent co-authors include Fiona Braka, Peter Nsubuga, Faisal Shuaib, Richard Banda, Pascal Mkanda, Charles Korir, Rui G. Vaz, Boubacar Dieng, Sisay G. Tegegne and Andrew Etsano. Their work appears in journals such as Vaccine, BMC Public Health, The Journal of Infectious Diseases, Expert Review of Vaccines and International Journal of Infectious Diseases.

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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