Jordan Sim
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
Papers in
-
- COVID-19 diagnosis using AI 5
-
- Asthma and respiratory diseases 2
- Co-authors
- Kang Sim (3 shared papers)Min Yi Sum (3 shared papers)Ross J. Baldessarini (3 shared papers)Cher Heng Tan (7 shared papers)Xiaoling Zhao (1 shared paper)Alix Denoncourt (1 shared paper)Kyoung-Han Kim (1 shared paper)Michael Downey (1 shared paper)
- Journals
- The International Journal of Neuropsychopharmacology (2 papers)Journal of Clinical Psychopharmacology (1 paper)IEEE Journal of Biomedical and Health Informatics (1 paper)Annals of Allergy Asthma & Immunology (1 paper)Pediatric and Developmental Pathology (1 paper)
- Partner nations
- SingaporeUnited StatesCanada
In The Last Decade
Jordan Sim
17 papers receiving 449 citations
Peers
Comparison fields: 5 of 98
- Health Informatics 32
- Biological Psychiatry 41
- Pharmacology 83
- Experimental and Cognitive Psychology 57
- Behavioral Neuroscience 13
Countries citing papers authored by Jordan Sim
This map shows the geographic impact of Jordan Sim'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 Jordan Sim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jordan Sim more than expected).
Fields of papers citing papers by Jordan Sim
This network shows the impact of papers produced by Jordan Sim. 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 Jordan Sim. The network helps show where Jordan Sim may publish in the future.
Co-authors
The 25 scholars most cited alongside Jordan Sim, 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 | 2015 | 147 | |
| 2 | 2022 | 64 | |
| 3 | 2021 | 42 | |
| 4 | 2014 | 39 | |
| 5 | 2018 | 28 | |
| 6 | 2021 | 28 | |
| 7 | 2022 | 19 | |
| 8 | 2017 | 19 | |
| 9 | 2017 | 16 | |
| 10 | 2016 | 15 | |
| 11 | 2023 | 12 | |
| 12 | 2022 | 7 | |
| 13 | 2022 | 4 | |
| 14 | 2015 | 4 | |
| 15 | 2023 | 3 | |
| 16 | 2023 | 3 | |
| 17 | 2021 | 3 | |
| 18 | 2025 | 0 |
About Jordan Sim
Jordan Sim is a scholar working on Radiology, Nuclear Medicine and Imaging, Physiology, Pharmacology, Pulmonary and Respiratory Medicine and Health Informatics, having authored 18 papers that have together received 453 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (5 papers), Artificial Intelligence in Healthcare and Education (4 papers), Bipolar Disorder and Treatment (3 papers), Treatment of Major Depression (3 papers), Asthma and respiratory diseases (2 papers), Lung Cancer Diagnosis and Treatment (2 papers), Mental Health Research Topics (2 papers) and Pneumonia and Respiratory Infections (2 papers). The work is most often cited by research in Health Informatics (32 citations), Biological Psychiatry (41 citations), Pharmacology (83 citations), Experimental and Cognitive Psychology (57 citations) and Behavioral Neuroscience (13 citations). Jordan Sim has collaborated with scholars based in Singapore, United States and Canada. Frequent co-authors include Kang Sim, Min Yi Sum, Ross J. Baldessarini, Cher Heng Tan, Xiaoling Zhao, Alix Denoncourt, Kyoung-Han Kim, Michael Downey, Angela Cheung and Erin E. Mulvihill. Their work appears in journals such as The International Journal of Neuropsychopharmacology, Journal of Clinical Psychopharmacology, IEEE Journal of Biomedical and Health Informatics, Annals of Allergy Asthma & Immunology and Pediatric and Developmental Pathology.
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.