Stephen Bacchi
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
- Family Practice top 10%
Papers in
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- Cardiac, Anesthesia and Surgical Outcomes 20
-
- Innovations in Medical Education 16
- Co-authors
- Julio Licínio (6 shared papers)Sandy Patel (9 shared papers)Timothy Kleinig (21 shared papers)Jim Jannes (19 shared papers)Luke Oakden‐Rayner (7 shared papers)Joshua G. Kovoor (80 shared papers)Aashray Gupta (83 shared papers)David Menon (4 shared papers)
- Journals
- ANZ Journal of Surgery (20 papers)Eye (6 papers)British journal of surgery (4 papers)Seminars in Ophthalmology (4 papers)The Medical Journal of Australia (3 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Stephen Bacchi
138 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 149
- Health Informatics 129
- Family Practice 30
- Health Information Management 59
- Neurology 178
- Gender Studies 89
Countries citing papers authored by Stephen Bacchi
This map shows the geographic impact of Stephen Bacchi'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 Stephen Bacchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Bacchi more than expected).
Fields of papers citing papers by Stephen Bacchi
This network shows the impact of papers produced by Stephen Bacchi. 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 Stephen Bacchi. The network helps show where Stephen Bacchi may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen Bacchi, 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 183 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 132 | |
| 2 | 2016 | 123 | |
| 3 | 2018 | 93 | |
| 4 | 2019 | 74 | |
| 5 | 2024 | 43 | |
| 6 | 2014 | 42 | |
| 7 | 2019 | 41 | |
| 8 | 2020 | 38 | |
| 9 | 2020 | 34 | |
| 10 | 2019 | 32 | |
| 11 | 2023 | 26 | |
| 12 | 2020 | 24 | |
| 13 | 2017 | 22 | |
| 14 | 2021 | 19 | |
| 15 | 2023 | 18 | |
| 16 | 2023 | 16 | |
| 17 | 2023 | 16 | |
| 18 | 2018 | 16 | |
| 19 | 2019 | 15 | |
| 20 | 2022 | 15 |
About Stephen Bacchi
Stephen Bacchi is a scholar working on Cardiology and Cardiovascular Medicine, Public Health, Environmental and Occupational Health, Health Informatics, Surgery and Epidemiology, having authored 183 papers that have together received 1.3k indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (27 papers), Cardiac, Anesthesia and Surgical Outcomes (20 papers), Acute Ischemic Stroke Management (16 papers), Innovations in Medical Education (16 papers), Machine Learning in Healthcare (12 papers), Electronic Health Records Systems (11 papers), Clinical Reasoning and Diagnostic Skills (10 papers) and Drug-Induced Adverse Reactions (10 papers). The work is most often cited by research in Health Informatics (129 citations), Family Practice (30 citations), Health Information Management (59 citations), Neurology (178 citations) and Gender Studies (89 citations). Stephen Bacchi has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Julio Licínio, Sandy Patel, Timothy Kleinig, Jim Jannes, Luke Oakden‐Rayner, Joshua G. Kovoor, Aashray Gupta, David Menon, Seth W. Perry and Ma‐Li Wong. Their work appears in journals such as ANZ Journal of Surgery, Eye, British journal of surgery, Seminars in Ophthalmology and The Medical Journal of Australia.
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.