Anis Fuad
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
-
- Artificial Intelligence in Healthcare
Papers in
- Epidemiology 10
- Data-Driven Disease Surveillance 8
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- Dengue and Mosquito Control Research 4
- Co-authors
- Atina Husnayain (7 shared papers)Emily Chia‐Yu Su (4 shared papers)Lutfan Lazuardi (3 shared papers)Adi Utarini (1 shared paper)Min‐Huei Hsu (2 shared papers)Suleman Atique (1 shared paper)Liming Wei (1 shared paper)Chien‐Yeh Hsu (1 shared paper)
- Journals
- Journal of Medical Internet Research (4 papers)Malaria Journal (4 papers)Computer Methods and Programs in Biomedicine (3 papers)International Journal of Infectious Diseases (2 papers)Global Health Action (2 papers)
- Partner nations
- IndonesiaTaiwanUnited States
In The Last Decade
Anis Fuad
45 papers receiving 680 citations
Peers
Comparison fields: 5 of 120
- Modeling and Simulation 85
- Health Information Management 54
- Health Informatics 7
- Epidemiology 165
- Health 38
Countries citing papers authored by Anis Fuad
This map shows the geographic impact of Anis Fuad'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 Anis Fuad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anis Fuad more than expected).
Fields of papers citing papers by Anis Fuad
This network shows the impact of papers produced by Anis Fuad. 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 Anis Fuad. The network helps show where Anis Fuad may publish in the future.
Co-authors
The 25 scholars most cited alongside Anis Fuad, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 162 | |
| 2 | 2015 | 94 | |
| 3 | 2019 | 60 | |
| 4 | 2018 | 49 | |
| 5 | 2015 | 32 | |
| 6 | 2022 | 29 | |
| 7 | 2020 | 29 | |
| 8 | 2013 | 28 | |
| 9 | 2014 | 25 | |
| 10 | 2017 | 23 | |
| 11 | 2019 | 20 | |
| 12 | 2019 | 20 | |
| 13 | 2022 | 15 | |
| 14 | 2019 | 13 | |
| 15 | 2021 | 12 | |
| 16 | 2021 | 10 | |
| 17 | 2012 | 7 | |
| 18 | 2020 | 7 | |
| 19 | 2020 | 6 | |
| 20 | 2021 | 6 |
About Anis Fuad
Anis Fuad is a scholar working on Epidemiology, Sociology and Political Science, General Health Professions, Information Systems and Public Health, Environmental and Occupational Health, having authored 55 papers that have together received 705 indexed citations. Recurring topics across this work include Data-Driven Disease Surveillance (8 papers), Mobile Health and mHealth Applications (5 papers), COVID-19 epidemiological studies (4 papers), Edcuational Technology Systems (4 papers), Dengue and Mosquito Control Research (4 papers), Health Literacy and Information Accessibility (3 papers), Public Health and Nutrition (3 papers) and Malaria Research and Control (3 papers). The work is most often cited by research in Modeling and Simulation (85 citations), Health Information Management (54 citations), Health Informatics (7 citations), Epidemiology (165 citations) and Health (38 citations). Anis Fuad has collaborated with scholars based in Indonesia, Taiwan and United States. Frequent co-authors include Atina Husnayain, Emily Chia‐Yu Su, Lutfan Lazuardi, Adi Utarini, Min‐Huei Hsu, Suleman Atique, Liming Wei, Chien‐Yeh Hsu, E. Elsa Herdiana Murhandarwati and Eunha Shim. Their work appears in journals such as Journal of Medical Internet Research, Malaria Journal, Computer Methods and Programs in Biomedicine, International Journal of Infectious Diseases and Global Health Action.
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.