Robert Chew
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Meta-analysis and systematic reviews
Papers in
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- Adversarial Robustness in Machine Learning 2
- Hate Speech and Cyberbullying Detection 2
- Topic Modeling 2
- Machine Learning and Data Classification 2
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- Meta-analysis and systematic reviews 3
- Co-authors
- Annice Kim (8 shared papers)Antonio A. Morgan‐López (2 shared papers)Rainer Hilscher (4 shared papers)Leila C. Kahwati (4 shared papers)Shannon Kugley (4 shared papers)Karen Crotty (4 shared papers)Gerald Gartlehner (4 shared papers)Meera Viswanathan (4 shared papers)
- Journals
- JMIR Public Health and Surveillance (3 papers)Journal of Medical Internet Research (2 papers)Research Synthesis Methods (2 papers)PLoS Medicine (2 papers)Bioinformatics (1 paper)
- Partner nations
- United StatesAustriaGermany
In The Last Decade
Robert Chew
37 papers receiving 500 citations
Robert Chew's Hit Papers
Peers
Comparison fields: 5 of 111
- Health Informatics 28
- Statistics, Probability and Uncertainty 23
- Media Technology 22
- Health 17
- Artificial Intelligence 72
Countries citing papers authored by Robert Chew
This map shows the geographic impact of Robert Chew'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 Robert Chew with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Chew more than expected).
Fields of papers citing papers by Robert Chew
This network shows the impact of papers produced by Robert Chew. 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 Robert Chew. The network helps show where Robert Chew may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert Chew, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 79 | |
| 2 | Data extraction for evidence synthesis using a large language model: A proof‐of‐concept study Hit paper breakdown → | 2024 | 70 |
| 3 | 2018 | 58 | |
| 4 | 2017 | 58 | |
| 5 | 2024 | 34 | |
| 6 | 2017 | 30 | |
| 7 | 2018 | 23 | |
| 8 | 2019 | 23 | |
| 9 | 2024 | 20 | |
| 10 | 2019 | 20 | |
| 11 | 2021 | 11 | |
| 12 | 2019 | 11 | |
| 13 | 2018 | 8 | |
| 14 | 2021 | 8 | |
| 15 | 2017 | 8 | |
| 16 | 2022 | 8 | |
| 17 | 2024 | 6 | |
| 18 | 2025 | 4 | |
| 19 | 2022 | 4 | |
| 20 | 2025 | 3 |
About Robert Chew
Robert Chew is a scholar working on Artificial Intelligence, Statistics, Probability and Uncertainty, Communication, Molecular Biology and Health, having authored 39 papers that have together received 514 indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (3 papers), Adversarial Robustness in Machine Learning (2 papers), Hate Speech and Cyberbullying Detection (2 papers), Microbial infections and disease research (2 papers), Topic Modeling (2 papers), Machine Learning and Data Classification (2 papers), Biomedical Text Mining and Ontologies (2 papers) and Complex Network Analysis Techniques (2 papers). The work is most often cited by research in Health Informatics (28 citations), Statistics, Probability and Uncertainty (23 citations), Media Technology (22 citations), Health (17 citations) and Artificial Intelligence (72 citations). Robert Chew has collaborated with scholars based in United States, Austria and Germany. Frequent co-authors include Annice Kim, Antonio A. Morgan‐López, Rainer Hilscher, Leila C. Kahwati, Shannon Kugley, Karen Crotty, Gerald Gartlehner, Meera Viswanathan, Ian B. Thomas and D. Temple. Their work appears in journals such as JMIR Public Health and Surveillance, Journal of Medical Internet Research, Research Synthesis Methods, PLoS Medicine and Bioinformatics.
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.