Karim Keshavjee
- Health Information Management top 0.05%
- Electronic Health Records Systems 22
- Artificial Intelligence in Healthcare 14
- Health Informatics top 5%
- Family Practice top 5%
- General Health Professions top 5%
- Mobile Health and mHealth Applications 10
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- Diabetes Management and Research 12
- Diabetes, Cardiovascular Risks, and Lipoproteins 11
- Diabetes Management and Education 8
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- Machine Learning in Healthcare 11
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- Data Quality and Management 10
- Co-authors
- Aziz GuergachiSajida PerveenMuhammad ShahbazAnne HolbrookSue TroyanHuaxiong HuangXin GaoHang Lai
- Journals
- Journal of Biological Chemistry (1 paper)SHILAP Revista de lepidopterología (1 paper)PLoS ONE (1 paper)
In The Last Decade
Karim Keshavjee
84 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 133
- Health Information Management 813
- Health Informatics 38
- Family Practice 45
- General Health Professions 407
- Endocrinology, Diabetes and Metabolism 255
Countries citing papers authored by Karim Keshavjee
This map shows the geographic impact of Karim Keshavjee'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 Karim Keshavjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karim Keshavjee more than expected).
Fields of papers citing papers by Karim Keshavjee
This network shows the impact of papers produced by Karim Keshavjee. 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 Karim Keshavjee. The network helps show where Karim Keshavjee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Karim Keshavjee, 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 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 3 | |
| 8 | 2020 | 12 | |
| 9 | 2020 | 35 | |
| 10 | 2019 | 25 | |
| 11 | 2019 | 14 | |
| 12 | 2019 | 34 | |
| 13 | 2018 | 55 | |
| 14 | The Cost of Quality in Diabetes. | 2017 | 1 |
| 15 | 2016 | 11 | |
| 16 | The Next Generation EMR. | 2015 | 2 |
| 17 | Improving usability of smoking data in EMR systems | 2013 | 2 |
| 18 | 2011 | 21 | |
| 19 | Can current electronic systems meet drug safety and effectiveness requirements? | 2005 | 7 |
| 20 | Comparison of Diagnostic Codes in a Clinical-research Database and an Administrative Database | 2000 | 3 |
About Karim Keshavjee
Karim Keshavjee is a scholar working on Health Information Management, Family Practice and Health Informatics, having authored 91 papers that have together received 1.6k indexed citations. Recurring topics across this work include Electronic Health Records Systems (22 papers), Artificial Intelligence in Healthcare (14 papers), Diabetes Management and Research (12 papers), Machine Learning in Healthcare (11 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (11 papers), Data Quality and Management (10 papers), Mobile Health and mHealth Applications (10 papers) and Diabetes Management and Education (8 papers). The work is most often cited by research in Health Information Management (813 citations), Health Informatics (38 citations) and Family Practice (45 citations). Karim Keshavjee has collaborated with scholars based in Canada, Italy and Pakistan. Frequent co-authors include Aziz Guergachi, Sajida Perveen, Muhammad Shahbaz, Anne Holbrook, Sue Troyan, Huaxiong Huang, Xin Gao, Hang Lai, Muhammad Qaiser Shahbaz and Michelle Greiver. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.
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.