Thomas Samba
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Health top 10%
- Vaccine Coverage and Hesitancy
Papers in
-
- Viral Infections and Outbreaks Research 9
- Health 5
- Vaccine Coverage and Hesitancy 5
- Co-authors
- Helena Nordenstedt (1 shared paper)Maike Winters (1 shared paper)Paul Sengeh (1 shared paper)Mohammad B. Jalloh (1 shared paper)Harold Thomas (1 shared paper)Feng Xu (2 shared papers)Guoqing Shi (2 shared papers)Qiang Wei (2 shared papers)
- Journals
- Annals of Epidemiology (2 papers)Vaccine (2 papers)Journal of Global Health (2 papers)International Health (1 paper)BMJ Open (1 paper)
- Partner nations
- Sierra LeoneUnited StatesChina
In The Last Decade
Thomas Samba
14 papers receiving 247 citations
Peers
Comparison fields: 5 of 48
- Modeling and Simulation 91
- Health 92
- Infectious Diseases 122
- Emergency Medical Services 43
- Pediatrics, Perinatology and Child Health 48
Countries citing papers authored by Thomas Samba
This map shows the geographic impact of Thomas Samba'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 Thomas Samba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Samba more than expected).
Fields of papers citing papers by Thomas Samba
This network shows the impact of papers produced by Thomas Samba. 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 Thomas Samba. The network helps show where Thomas Samba may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Samba, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 37 | |
| 2 | 2016 | 37 | |
| 3 | 2020 | 36 | |
| 4 | 2016 | 25 | |
| 5 | 2016 | 25 | |
| 6 | 2019 | 23 | |
| 7 | 2018 | 21 | |
| 8 | 2014 | 13 | |
| 9 | 2019 | 9 | |
| 10 | 2022 | 7 | |
| 11 | 2017 | 7 | |
| 12 | 2019 | 6 | |
| 13 | 2021 | 3 | |
| 14 | 2021 | 2 | |
| 15 | 2024 | 0 |
About Thomas Samba
Thomas Samba is a scholar working on Infectious Diseases, Health, Emergency Medical Services, Pediatrics, Perinatology and Child Health and Sociology and Political Science, having authored 15 papers that have together received 251 indexed citations. Recurring topics across this work include Viral Infections and Outbreaks Research (9 papers), Disaster Response and Management (5 papers), Vaccine Coverage and Hesitancy (5 papers), COVID-19 epidemiological studies (4 papers), Global Maternal and Child Health (4 papers), Global Security and Public Health (3 papers), Hepatitis B Virus Studies (2 papers) and Healthcare Systems and Reforms (2 papers). The work is most often cited by research in Modeling and Simulation (91 citations), Health (92 citations), Infectious Diseases (122 citations), Emergency Medical Services (43 citations) and Pediatrics, Perinatology and Child Health (48 citations). Thomas Samba has collaborated with scholars based in Sierra Leone, United States and China. Frequent co-authors include Helena Nordenstedt, Maike Winters, Paul Sengeh, Mohammad B. Jalloh, Harold Thomas, Feng Xu, Guoqing Shi, Qiang Wei, Xinxu Li and Xiaofeng Liang. Their work appears in journals such as Annals of Epidemiology, Vaccine, Journal of Global Health, International Health and BMJ Open.
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.