Karim Keshavjee

2.6k total citations
91 papers, 1.6k citations indexed

About

Karim Keshavjee is a scholar working on Health Information Management, Endocrinology, Diabetes and Metabolism and General Health Professions. According to data from OpenAlex, Karim Keshavjee has authored 91 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Health Information Management, 23 papers in Endocrinology, Diabetes and Metabolism and 21 papers in General Health Professions. Recurrent topics in Karim Keshavjee's work include Electronic Health Records Systems (22 papers), Artificial Intelligence in Healthcare (14 papers) and Diabetes Management and Research (12 papers). Karim Keshavjee is often cited by papers focused on Electronic Health Records Systems (22 papers), Artificial Intelligence in Healthcare (14 papers) and Diabetes Management and Research (12 papers). Karim Keshavjee collaborates with scholars based in Canada, Italy and Pakistan. Karim Keshavjee's 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 and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Karim Keshavjee

84 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Karim Keshavjee Canada 19 813 408 407 255 232 91 1.6k
Allison B. McCoy United States 24 606 0.7× 365 0.9× 276 0.7× 126 0.5× 276 1.2× 98 2.0k
Reed T. Sutton Canada 11 452 0.6× 329 0.8× 226 0.6× 140 0.5× 272 1.2× 21 1.9k
Christopher A. Harle United States 20 275 0.3× 324 0.8× 481 1.2× 142 0.6× 461 2.0× 107 2.0k
Albert M. Lai United States 23 342 0.4× 537 1.3× 407 1.0× 203 0.8× 297 1.3× 81 2.1k
Henry C. Chueh United States 20 356 0.4× 314 0.8× 343 0.8× 237 0.9× 185 0.8× 49 1.7k
Nicole G. Weiskopf United States 19 897 1.1× 634 1.6× 363 0.9× 108 0.4× 434 1.9× 39 2.6k
Adam Wilcox United States 29 598 0.7× 387 0.9× 784 1.9× 96 0.4× 317 1.4× 100 2.4k
Jürgen Stausberg Germany 24 358 0.4× 139 0.3× 250 0.6× 125 0.5× 254 1.1× 122 1.8k
W. Ed Hammond United States 20 973 1.2× 459 1.1× 504 1.2× 125 0.5× 547 2.4× 77 2.3k
Abel Kho United States 29 534 0.7× 608 1.5× 530 1.3× 215 0.8× 399 1.7× 126 3.1k

Countries citing papers authored by Karim Keshavjee

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Karim Keshavjee

This figure shows the co-authorship network connecting the top 25 collaborators of Karim Keshavjee. A scholar is included among the top collaborators of Karim Keshavjee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Karim Keshavjee. Karim Keshavjee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Borri, Alessandro, et al.. (2025). Modeling the cumulative benefits of regular physical activity on type 2 diabetes progression. Computers in Biology and Medicine. 198(Pt A). 111194–111194.
2.
Keshavjee, Karim, et al.. (2025). Playing to Win in Healthcare: Framework for Developing Digital Health Strategy. Studies in health technology and informatics. 322. 81–82. 1 indexed citations
3.
Keshavjee, Karim, et al.. (2024). Exploring Prediabetes Pathways Using Explainable AI on Data from Electronic Medical Records. Studies in health technology and informatics. 316. 736–740. 1 indexed citations
4.
Guergachi, Aziz, et al.. (2024). Towards a Regulatory Framework for Workflow Improvement in Electronic Medical Records. Studies in health technology and informatics. 312. 54–58.
5.
6.
Demers, Catherine, Joshua O. Cerasuolo, Richard Perez, et al.. (2023). Association of a Heart Failure Management Incentive in Primary Care With Clinical Outcomes: A Retrospective Cohort Study. Journal of the American Heart Association. 13(1). e031498–e031498.
7.
Paglialonga, Alessia, et al.. (2023). The Long-Term Effects of Physical Activity on Blood Glucose Regulation: A Model to Unravel Diabetes Progression. IEEE Control Systems Letters. 7. 2916–2921. 3 indexed citations
8.
9.
Perveen, Sajida, Muhammad Shahbaz, Tanzila Saba, et al.. (2020). Handling Irregularly Sampled Longitudinal Data and Prognostic Modeling of Diabetes Using Machine Learning Technique. IEEE Access. 8. 21875–21885. 35 indexed citations
10.
Demers, Catherine, et al.. (2019). Evaluation of Heart Failure Apps to Promote Self-Care: Systematic App Search. JMIR mhealth and uhealth. 7(11). e13173–e13173. 25 indexed citations
11.
Willison, Donald J., et al.. (2019). Participatory governance over research in an academic research network: the case of Diabetes Action Canada. BMJ Open. 9(4). e026828–e026828. 14 indexed citations
12.
Perveen, Sajida, Muhammad Shahbaz, Karim Keshavjee, & Aziz Guergachi. (2019). Prognostic Modeling and Prevention of Diabetes Using Machine Learning Technique. Scientific Reports. 9(1). 13805–13805. 34 indexed citations
13.
Perveen, Sajida, Muhammad Qaiser Shahbaz, Karim Keshavjee, & Aziz Guergachi. (2018). Metabolic Syndrome and Development of Diabetes Mellitus: Predictive Modeling Based on Machine Learning Techniques. IEEE Access. 7. 1365–1375. 55 indexed citations
14.
Keshavjee, Karim, et al.. (2017). The Cost of Quality in Diabetes.. PubMed. 234. 131–135. 1 indexed citations
15.
16.
Keshavjee, Karim, et al.. (2015). The Next Generation EMR.. PubMed. 208. 210–4. 2 indexed citations
17.
Garies, Stephanie, et al.. (2013). Improving usability of smoking data in EMR systems. Canadian Family Physician. 59(1). 108–108. 2 indexed citations
18.
Greiver, Michelle, Jan Barnsley, Babak Aliarzadeh, et al.. (2011). Using a data entry clerk to improve data quality in primary careelectronic medical records: a pilot study. Journal of Innovation in Health Informatics. 19(4). 241–250. 21 indexed citations
19.
Holbrook, Anne, et al.. (2005). Can current electronic systems meet drug safety and effectiveness requirements?. PubMed Central. 335–9. 7 indexed citations
20.
Keshavjee, Karim, et al.. (2000). Comparison of Diagnostic Codes in a Clinical-research Database and an Administrative Database. PubMed Central. 1045–1045. 3 indexed citations

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.

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