Mary Stephen

13 papers receiving 209 citations

Peers

Mary Stephen
Comparison fields: 5 of 62
  • Modeling and Simulation 77
  • Infectious Diseases 116
  • Emergency Medical Services 34
  • Health 33
  • Applied Microbiology and Biotechnology 5
Replace Emmanuel Onuche Musa with:
Emmanuel Onuche Musa Republic of the Congo
Matthew R Boyce United States
Peter Adewuyi Nigeria
Olubunmi Ojo Nigeria
Lydia Nakiire Uganda
Patricia Ndumbi Canada
Moses Massaquoi United States
Oluwatosin Wuraola Akande Nigeria
Parvathy Mohanan Bulgaria
Oyeronke Oyebanji Nigeria
Mary Stephen relative to Emmanuel Onuche Musa Republic of the Congo Emmanuel Onuche Musa's profile →
Citations per field
00.5×1.6×
Emmanuel Onuche Musa · 1×
Citations per year

Countries citing papers authored by Mary Stephen

Since Specialization
Citations

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

Fields of papers citing papers by Mary Stephen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 202087
2 201944
3 202021
4 202016
5 201910
6 20219
7 20199
8 20216
9
Assessing the Factors and Prevalence of Digital Eye Strain among Digital Screen Users using a Validated Questionnaire An Observational Study
20214
10 20173
11 20143
12 20251
13 20121
14 20240

About Mary Stephen

Mary Stephen is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Modeling and Simulation, Health and Epidemiology, having authored 14 papers that have together received 214 indexed citations. Recurring topics across this work include Viral Infections and Outbreaks Research (10 papers), Zoonotic diseases and public health (4 papers), COVID-19 epidemiological studies (4 papers), Vaccine Coverage and Hesitancy (3 papers), Data-Driven Disease Surveillance (3 papers), Disaster Response and Management (2 papers), Virtual Reality Applications and Impacts (1 paper) and Ergonomics and Musculoskeletal Disorders (1 paper). The work is most often cited by research in Modeling and Simulation (77 citations), Infectious Diseases (116 citations), Emergency Medical Services (34 citations), Health (33 citations) and Applied Microbiology and Biotechnology (5 citations). Mary Stephen has collaborated with scholars based in Republic of the Congo, United States and Switzerland. Frequent co-authors include Ali Ahmed Yahaya, Ambrose Talisuna, Ibrahima Socé Fall, Zabulon Yoti, Emmanuel Onuche Musa, Joseph Okeibunor, Bénido Impouma, Emelda A. Okiro, Etienne Minkoulou and Stella Chungong. Their work appears in journals such as BMJ Global Health, BMC Public Health, Epidemiology and Infection, Global Health Action and The Lancet Global Health.

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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