Abla Mawudeku
- Epidemiology top 10%
- Public Health, Environmental and Occupational Health top 5%
- Modeling and Simulation top 2%
- Infectious Diseases top 10%
- Sociology and Political Science top 10%
- Co-authors
- John S. BrownsteinMikaela KellerLawrence C. MadoffMarie DionPhilip AbdelMalikNigel CollierJens P. LingeDavid Hartley
- Topics
- Data-Driven Disease Surveillance (12 papers)Zoonotic diseases and public health (7 papers)Viral Infections and Outbreaks Research (4 papers)
- Partner nations
- United StatesCanadaJapan
In The Last Decade
Abla Mawudeku
16 papers receiving 716 citations
Peers
Comparison fields: 5 of 94
- Epidemiology 459
- Public Health, Environmental and Occupational Health 276
- Modeling and Simulation 158
- Infectious Diseases 156
- Sociology and Political Science 126
Countries citing papers authored by Abla Mawudeku
This map shows the geographic impact of Abla Mawudeku'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 Abla Mawudeku with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abla Mawudeku more than expected).
Fields of papers citing papers by Abla Mawudeku
This network shows the impact of papers produced by Abla Mawudeku. 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 Abla Mawudeku. The network helps show where Abla Mawudeku may publish in the future.
Co-authorship network of co-authors of Abla Mawudeku
This figure shows the co-authorship network connecting the top 25 collaborators of Abla Mawudeku. A scholar is included among the top collaborators of Abla Mawudeku based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Abla Mawudeku. Abla Mawudeku is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 1 | |
| 3 | 71 | |
| 4 | 43 | |
| 5 | 49 | |
| 6 | 66 | |
| 7 | 38 | |
| 8 | 58 | |
| 9 | 166 | |
| 10 | The Landscape of International Biosurveillance | 5 |
| 11 | 141 | |
| 12 | 12 | |
| 13 | Global Public Health Intelligence Network (GPHIN) | 39 |
| 14 | 26 | |
| 15 | 5 | |
| 16 | 22 |
About Abla Mawudeku
Abla Mawudeku is a scholar working on Modeling and Simulation, Radiological and Ultrasound Technology and Epidemiology, having authored 16 papers that have together received 763 indexed citations. Recurring topics across this work include Data-Driven Disease Surveillance (12 papers), Zoonotic diseases and public health (7 papers) and Viral Infections and Outbreaks Research (4 papers). The work is most often cited by research in Modeling and Simulation (158 citations), Epidemiology (459 citations) and Public Health, Environmental and Occupational Health (276 citations). Abla Mawudeku has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include John S. Brownstein, Mikaela Keller, Lawrence C. Madoff, Marie Dion, Philip AbdelMalik, Nigel Collier, Jens P. Linge, David Hartley, Noele P. Nelson and Herman Tolentino. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Emerging infectious diseases.
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.