Tom Sesay

21 papers receiving 238 citations

Peers

Tom Sesay
Comparison fields: 5 of 64
  • Health 78
  • Modeling and Simulation 41
  • Health Informatics 8
  • Infectious Diseases 104
  • Emergency Medical Services 26
Replace Peter Adewuyi with:
Peter Adewuyi Nigeria
Thobeka Mngomezulu South Africa
Franck Mboussou Republic of the Congo
Pascal Mkanda Republic of the Congo
Selma Dar Berger France
Sérgio Chicumbe Mozambique
Douglas Black United States
Christine Heidebrecht Canada
Samantha Dolan United States
Els Duysburgh Belgium
Tom Sesay relative to Peter Adewuyi Nigeria Peter Adewuyi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Tom Sesay

Since Specialization
Citations

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

Fields of papers citing papers by Tom Sesay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201943
2 201932
3 201528
4 202124
5 201713
6 202012
7 201712
8 202011
9 20159
10 20248
11 20228
12 20237
13 20227
14 20225
15 20175
16
Design and evaluation of a web-based decision support tool for district-level disease surveillance in a low-resource setting.
20174
17 20233
18 20213
19
Burden, timing, and outcomes of uveitis from a retrospective cohort of Ebola survivors in Sierra Leone
20183
20 20232

About Tom Sesay

Tom Sesay is a scholar working on Infectious Diseases, Health, Epidemiology, Emergency Medical Services and Sociology and Political Science, having authored 24 papers that have together received 240 indexed citations. Recurring topics across this work include Viral Infections and Outbreaks Research (12 papers), Vaccine Coverage and Hesitancy (9 papers), Disaster Response and Management (6 papers), COVID-19 epidemiological studies (5 papers), Global Maternal and Child Health (4 papers), Disaster Management and Resilience (4 papers), Virology and Viral Diseases (3 papers) and Hepatitis B Virus Studies (2 papers). The work is most often cited by research in Health (78 citations), Modeling and Simulation (41 citations), Health Informatics (8 citations), Infectious Diseases (104 citations) and Emergency Medical Services (26 citations). Tom Sesay has collaborated with scholars based in Sierra Leone, United States and United Kingdom. Frequent co-authors include George A. Yendewa, Wadzani Gashau, Gibrilla F. Deen, Robert A. Salata, Eva Poveda, Ángel Salgado‐Barreira, Tushar Singh, Darlinda F. Jiba, Foday Sahr and Sulaiman Lakoh. Their work appears in journals such as Global Health Science and Practice, Vaccine, Journal of Global Health, BMC Public Health and EClinicalMedicine.

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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