Mark Otiende
Impact in
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
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- Malaria Research and Control
- Mosquito-borne diseases and control
Papers in
-
- Mosquito-borne diseases and control 3
- Zoonotic diseases and public health 1
-
- SARS-CoV-2 and COVID-19 Research 2
- SARS-CoV-2 detection and testing 1
- Co-authors
- Evasius Bauni (3 shared papers)Thomas N. Williams (3 shared papers)J. Anthony G. Scott (4 shared papers)Philip Bejon (3 shared papers)Kevin Marsh (2 shared papers)Christopher Nyundo (2 shared papers)Peter W. Gething (1 shared paper)Carren Ginsburg (2 shared papers)
- Journals
- BMC Medicine (2 papers)Nature Communications (1 paper)The Lancet Global Health (1 paper)Demographic Research (1 paper)Social Science & Medicine (1 paper)
- Partner nations
- KenyaUnited KingdomUnited States
In The Last Decade
Mark Otiende
13 papers receiving 340 citations
Peers
Comparison fields: 5 of 55
- Modeling and Simulation 23
- Public Health, Environmental and Occupational Health 127
- Genetics 45
- Health 23
- Hematology 30
Countries citing papers authored by Mark Otiende
This map shows the geographic impact of Mark Otiende'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 Mark Otiende with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Otiende more than expected).
Fields of papers citing papers by Mark Otiende
This network shows the impact of papers produced by Mark Otiende. 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 Mark Otiende. The network helps show where Mark Otiende may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Otiende, 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 | 2014 | 90 | |
| 2 | 2019 | 50 | |
| 3 | 2016 | 43 | |
| 4 | 2016 | 36 | |
| 5 | 2017 | 24 | |
| 6 | 2019 | 21 | |
| 7 | 2021 | 20 | |
| 8 | 2020 | 20 | |
| 9 | 2016 | 14 | |
| 10 | 2021 | 13 | |
| 11 | 2021 | 13 | |
| 12 | 2022 | 7 | |
| 13 | 2023 | 4 |
About Mark Otiende
Mark Otiende is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases, Health, Epidemiology and Genetics, having authored 13 papers that have together received 355 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Vaccine Coverage and Hesitancy (1 paper), SARS-CoV-2 detection and testing (1 paper), Zoonotic diseases and public health (1 paper), Data-Driven Disease Surveillance (1 paper), COVID-19 epidemiological studies (1 paper) and Hemoglobinopathies and Related Disorders (1 paper). The work is most often cited by research in Modeling and Simulation (23 citations), Public Health, Environmental and Occupational Health (127 citations), Genetics (45 citations), Health (23 citations) and Hematology (30 citations). Mark Otiende has collaborated with scholars based in Kenya, United Kingdom and United States. Frequent co-authors include Evasius Bauni, Thomas N. Williams, J. Anthony G. Scott, Philip Bejon, Kevin Marsh, Christopher Nyundo, Peter W. Gething, Carren Ginsburg, Mark Collinson and Donatien Béguy. Their work appears in journals such as BMC Medicine, Nature Communications, The Lancet Global Health, Demographic Research and Social Science & Medicine.
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.