Justin Maeda
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- Viral Infections and Outbreaks Research
- COVID-19 Clinical Research Studies
Papers in
-
- Viral Infections and Outbreaks Research 5
- SARS-CoV-2 detection and testing 1
-
- Global Security and Public Health 2
- Co-authors
- John N. Nkengasong (3 shared papers)Mohamed Moussif (1 shared paper)Stephanie J. Salyer (1 shared paper)Natalie Mayet (1 shared paper)Ebba Abate (1 shared paper)Yenew Kebede (1 shared paper)Chikwe Ihekweazu (1 shared paper)Akhona Tshangela (1 shared paper)
- Journals
- Global Health Research and Policy (1 paper)International Journal of Infectious Diseases (1 paper)PLoS ONE (1 paper)The Lancet (1 paper)Canadian Journal of African Studies / Revue canadienne des études africaines (1 paper)
- Partner nations
- EthiopiaUnited StatesUganda
In The Last Decade
Justin Maeda
11 papers receiving 304 citations
Justin Maeda's Hit Papers
Peers
Comparison fields: 5 of 73
- Modeling and Simulation 71
- Infectious Diseases 112
- Health 28
- Obstetrics and Gynecology 15
- Emergency Medical Services 12
Countries citing papers authored by Justin Maeda
This map shows the geographic impact of Justin Maeda'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 Justin Maeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Justin Maeda more than expected).
Fields of papers citing papers by Justin Maeda
This network shows the impact of papers produced by Justin Maeda. 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 Justin Maeda. The network helps show where Justin Maeda may publish in the future.
Co-authors
The 25 scholars most cited alongside Justin Maeda, 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 | The first and second waves of the COVID-19 pandemic in Africa: a cross-sectional study Hit paper breakdown → | 2021 | 224 |
| 2 | 2022 | 26 | |
| 3 | 2015 | 19 | |
| 4 | 2018 | 16 | |
| 5 | 2015 | 13 | |
| 6 | 2016 | 5 | |
| 7 | 1981 | 4 | |
| 8 | 2020 | 3 | |
| 9 | 2022 | 1 | |
| 10 | 2021 | 1 | |
| 11 | 2020 | 1 |
About Justin Maeda
Justin Maeda is a scholar working on Infectious Diseases, Sociology and Political Science, Epidemiology, Public Health, Environmental and Occupational Health and Economics and Econometrics, having authored 11 papers that have together received 313 indexed citations. Recurring topics across this work include Viral Infections and Outbreaks Research (5 papers), Zoonotic diseases and public health (2 papers), COVID-19 epidemiological studies (2 papers), Global Security and Public Health (2 papers), Vaccine Coverage and Hesitancy (1 paper), SARS-CoV-2 detection and testing (1 paper), Data-Driven Disease Surveillance (1 paper) and Disaster Response and Management (1 paper). The work is most often cited by research in Modeling and Simulation (71 citations), Infectious Diseases (112 citations), Health (28 citations), Obstetrics and Gynecology (15 citations) and Emergency Medical Services (12 citations). Justin Maeda has collaborated with scholars based in Ethiopia, United States and Uganda. Frequent co-authors include John N. Nkengasong, Mohamed Moussif, Stephanie J. Salyer, Natalie Mayet, Ebba Abate, Yenew Kebede, Chikwe Ihekweazu, Akhona Tshangela, Senga Sembuche and Donewell Bangure. Their work appears in journals such as Global Health Research and Policy, International Journal of Infectious Diseases, PLoS ONE, The Lancet and Canadian Journal of African Studies / Revue canadienne des études africaines.
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.