Sandeep Reddy
Impact in
- Health Informatics top 0.05%
- Artificial Intelligence in Healthcare and Education
-
- Artificial Intelligence in Healthcare
Papers in
-
- Artificial Intelligence in Healthcare and Education 18
- Co-authors
- Paul CooperSimon CoghlanSonia AllanMaulik PurohitJohn FoxVille‐Petteri MäkinenEva WeickenAaron Casey
- Journals
- Journal of Evaluation in Clinical Practice (2 papers)Cancer Research (2 papers)Scientific Reports (1 paper)Implementation Science (1 paper)BMJ (1 paper)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Sandeep Reddy
38 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Health Informatics 673
- Health Information Management 175
- Safety Research 104
- Artificial Intelligence 336
- Family Practice 23
Countries citing papers authored by Sandeep Reddy
This map shows the geographic impact of Sandeep Reddy'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 Sandeep Reddy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandeep Reddy more than expected).
Fields of papers citing papers by Sandeep Reddy
This network shows the impact of papers produced by Sandeep Reddy. 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 Sandeep Reddy. The network helps show where Sandeep Reddy may publish in the future.
Co-authors
The 25 scholars most cited alongside Sandeep Reddy, 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 | 2025 | 1 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 1 | |
| 4 | The Silent Partner: A Narrative Review of AI's Impact on Informed Consent. | 2025 | 1 |
| 5 | 2025 | 0 | |
| 6 | 2024 | 15 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 2 | |
| 9 | 2024 | 12 | |
| 10 | 2024 | 1 | |
| 11 | Generative AI in healthcare: an implementation science informed translational path on application, integration and governance Hit paper breakdown → | 2024 | 165 |
| 12 | 2024 | 0 | |
| 13 | 2024 | 3 | |
| 14 | 2023 | 1 | |
| 15 | 2023 | 20 | |
| 16 | 2023 | 52 | |
| 17 | 2022 | 5 | |
| 18 | 2021 | 7 | |
| 19 | 2019 | 12 | |
| 20 | 2019 | 1 |
About Sandeep Reddy
Sandeep Reddy is a scholar working on Health Informatics, Medical Terminology, Health Information Management, Family Practice and Pharmacy, having authored 43 papers that have together received 1.3k indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (18 papers), Primary Care and Health Outcomes (6 papers), COVID-19 diagnosis using AI (5 papers), Ethics in Clinical Research (5 papers), Clinical practice guidelines implementation (3 papers), Machine Learning in Healthcare (3 papers), AI in cancer detection (3 papers) and Topic Modeling (2 papers). The work is most often cited by research in Health Informatics (673 citations), Health Information Management (175 citations), Safety Research (104 citations), Artificial Intelligence (336 citations) and Family Practice (23 citations). Sandeep Reddy has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Paul Cooper, Simon Coghlan, Sonia Allan, Maulik Purohit, John Fox, Ville‐Petteri Mäkinen, Eva Weicken, Aaron Casey, Enrico Coiera and Markus Wenzel. Their work appears in journals such as Journal of Evaluation in Clinical Practice, Cancer Research, Scientific Reports, Implementation Science and BMJ.
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.