Anis Fuad

1.2k total citations
55 papers, 687 citations indexed

About

Anis Fuad is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health and Sociology and Political Science. According to data from OpenAlex, Anis Fuad has authored 55 papers receiving a total of 687 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 10 papers in Public Health, Environmental and Occupational Health and 9 papers in Sociology and Political Science. Recurrent topics in Anis Fuad's work include Data-Driven Disease Surveillance (10 papers), COVID-19 epidemiological studies (9 papers) and Mobile Health and mHealth Applications (7 papers). Anis Fuad is often cited by papers focused on Data-Driven Disease Surveillance (10 papers), COVID-19 epidemiological studies (9 papers) and Mobile Health and mHealth Applications (7 papers). Anis Fuad collaborates with scholars based in Indonesia, Taiwan and United States. Anis Fuad's co-authors include Atina Husnayain, Emily Chia‐Yu Su, Lutfan Lazuardi, Min‐Huei Hsu, Adi Utarini, Suleman Atique, Chien‐Yeh Hsu, Yuan Lin, Liming Wei and E. Elsa Herdiana Murhandarwati and has published in prestigious journals such as SHILAP Revista de lepidopterología, Research Policy and International Journal of Environmental Research and Public Health.

In The Last Decade

Anis Fuad

45 papers receiving 663 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Anis Fuad Indonesia 14 191 185 133 127 75 55 687
Megan Coffee United States 12 182 1.0× 109 0.6× 81 0.6× 177 1.4× 148 2.0× 19 1.1k
Richard J Medford United States 14 138 0.7× 205 1.1× 56 0.4× 56 0.4× 66 0.9× 50 636
Tera L Reynolds United States 12 149 0.8× 212 1.1× 91 0.7× 39 0.3× 166 2.2× 29 659
Raphael Cuomo United States 17 225 1.2× 302 1.6× 264 2.0× 75 0.6× 66 0.9× 82 1.2k
Dewi Megawati Indonesia 10 129 0.7× 121 0.7× 177 1.3× 173 1.4× 71 0.9× 24 1.3k
Jiawei Li United States 15 190 1.0× 347 1.9× 130 1.0× 79 0.6× 71 0.9× 58 959
Weibin Cheng China 18 367 1.9× 133 0.7× 53 0.4× 67 0.5× 165 2.2× 95 931
Arash Shaban‐Nejad United States 15 137 0.7× 145 0.8× 70 0.5× 34 0.3× 137 1.8× 91 859
Herman Carneiro United States 10 601 3.1× 144 0.8× 56 0.4× 95 0.7× 48 0.6× 17 1.0k
Cheng-Bin Wang Italy 6 71 0.4× 76 0.4× 68 0.5× 110 0.9× 60 0.8× 6 1.1k

Countries citing papers authored by Anis Fuad

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Anis Fuad

This figure shows the co-authorship network connecting the top 25 collaborators of Anis Fuad. A scholar is included among the top collaborators of Anis Fuad 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 Anis Fuad. Anis Fuad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Irawan, Dasapta Erwin, et al.. (2023). Comments on “Ranking researchers: Evidence from Indonesia” by Fry et al. (2023). Research Policy. 52(7). 104817–104817.
3.
Irawan, Dasapta Erwin, et al.. (2023). Comments on 'Ranking Researchers: Evidence from Indonesia' by Fry Et Al. (2023). SSRN Electronic Journal.
4.
Fuad, Anis, et al.. (2023). Introducing a Regulatory Sandbox Into the Indonesian Health System Using e-Malaria as a Use Case: Participatory Action Study. Journal of Medical Internet Research. 25. e47706–e47706. 3 indexed citations
5.
6.
Nursetyo, Aldilas Achmad, et al.. (2022). Community Mobility and COVID-19 Dynamics in Jakarta, Indonesia. International Journal of Environmental Research and Public Health. 19(11). 6671–6671. 15 indexed citations
7.
Chien, Chia‐Hui, Aldilas Achmad Nursetyo, Atina Husnayain, et al.. (2022). Social media sentiment analysis to monitor the performance of vaccination coverage during the early phase of the national COVID-19 vaccine rollout. Computer Methods and Programs in Biomedicine. 221. 106838–106838. 29 indexed citations
8.
9.
Husnayain, Atina, Eunha Shim, Anis Fuad, & Emily Chia‐Yu Su. (2021). Predicting New Daily COVID-19 Cases and Deaths Using Search Engine Query Data in South Korea From 2020 to 2021: Infodemiology Study. Journal of Medical Internet Research. 23(12). e34178–e34178. 11 indexed citations
10.
Husnayain, Atina, Ting‐Wu Chuang, Anis Fuad, & Emily Chia‐Yu Su. (2021). High variability in model performance of Google relative search volumes in spatially clustered COVID-19 areas of the USA. International Journal of Infectious Diseases. 109. 269–278. 9 indexed citations
11.
Hsu, Chien‐Yeh, Peter Wushou Chang, Anis Fuad, et al.. (2020). Development and validation of an instrument for measuring competencies on public health informatics of primary health care worker (PHIC4PHC) in Indonesia. Primary Health Care Research & Development. 21. e22–e22. 7 indexed citations
12.
Husnayain, Atina, et al.. (2020). Improving Dengue Surveillance System with Administrative Claim Data in Indonesia: Opportunities and Challenges. Studies in health technology and informatics. 270. 853–857. 2 indexed citations
13.
Hsu, Chien‐Yeh, et al.. (2019). Encouraging On-Time Completion of Leprosy Patients Treatment: Implementing E-Leprosy Framework to Primary Health Care in Indonesia. Asia Pacific Journal of Public Health. 31(4). 296–305. 5 indexed citations
14.
Hsu, Chien‐Yeh, Nurjanah Nurjanah, Peter Wushou Chang, et al.. (2019). Developing an Indonesia's health literacy short-form survey questionnaire (HLS-EU-SQ10-IDN) using the feature selection and genetic algorithm. Computer Methods and Programs in Biomedicine. 182. 105047–105047. 18 indexed citations
15.
Fuad, Anis, et al.. (2019). Analisis spasial keterjangkauan retailer rokok terhadap perilaku merokok siswa SMA di Kabupaten Wakatobi. Indonesian Journal of Biotechnology (Universitas Gadjah Mada). 35(7). 1 indexed citations
16.
Fuad, Anis, et al.. (2019). Spatiotemporal patterns of malaria at cross-boundaries area in Menoreh Hills, Java, Indonesia. Malaria Journal. 18(1). 80–80. 19 indexed citations
17.
Rau, Hsiao-Hsien, Yi‐Syuan Wu, Chi‐Ming Chu, et al.. (2017). Importance-Performance Analysis of Personal Health Records in Taiwan: A Web-Based Survey. Journal of Medical Internet Research. 19(4). e131–e131. 23 indexed citations
18.
Murhandarwati, E. Elsa Herdiana, et al.. (2015). Change of strategy is required for malaria elimination: a case study in Purworejo District, Central Java Province, Indonesia. Malaria Journal. 14(1). 318–318. 31 indexed citations
19.
Herdiana, Herdiana, Anis Fuad, Puji Budi Setia Asih, et al.. (2013). Progress towards malaria elimination in Sabang Municipality, Aceh, Indonesia. Malaria Journal. 12(1). 42–42. 27 indexed citations
20.
Indriani, Citra, Anis Fuad, & Hari Kusnanto. (2012). Pola Spasial-Temporal Epidemi Demam Chikungunya dan Demam Berdarah Dengue di Kota Yogyakarta Tahun 2008. Indonesian Journal of Biotechnology (Universitas Gadjah Mada). 27(1). 41. 3 indexed citations

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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