Khaled El Emam

11.6k total citations · 1 hit paper
179 papers, 7.5k citations indexed

About

Khaled El Emam is a scholar working on Information Systems, Artificial Intelligence and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Khaled El Emam has authored 179 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Information Systems, 56 papers in Artificial Intelligence and 47 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Khaled El Emam's work include Software Engineering Research (56 papers), Software Engineering Techniques and Practices (46 papers) and Software Reliability and Analysis Research (38 papers). Khaled El Emam is often cited by papers focused on Software Engineering Research (56 papers), Software Engineering Techniques and Practices (46 papers) and Software Reliability and Analysis Research (38 papers). Khaled El Emam collaborates with scholars based in Canada, United States and Germany. Khaled El Emam's co-authors include Fida K. Dankar, Lionel Briand, Nazim H. Madhavji, Walcélio L. Melo, Elizabeth Jonker, Lesley M. Pickard, Peter W. Jones, David C. Hoaglin, Shari Lawrence Pfleeger and Jarrett Rosenberg and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Khaled El Emam

169 papers receiving 6.8k citations

Hit Papers

Preliminary guidelines for empirical research in software... 2002 2026 2010 2018 2002 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Khaled El Emam Canada 44 4.2k 2.5k 2.3k 828 750 179 7.5k
William G. Griswold United States 43 3.0k 0.7× 1.8k 0.7× 1.7k 0.8× 435 0.5× 1.4k 1.8× 218 7.4k
Nancy G. Leveson United States 47 2.2k 0.5× 1.7k 0.7× 3.4k 1.5× 96 0.1× 994 1.3× 180 10.3k
John Grundy Australia 46 5.6k 1.3× 2.7k 1.1× 1.7k 0.7× 76 0.1× 2.8k 3.7× 574 9.0k
Ali Idri Morocco 34 1.9k 0.5× 1.2k 0.5× 1.2k 0.5× 168 0.2× 521 0.7× 265 4.9k
Pearl Brereton United Kingdom 30 3.4k 0.8× 1.5k 0.6× 703 0.3× 57 0.1× 1.2k 1.6× 107 6.4k
Mark A. Musen United States 61 3.3k 0.8× 8.4k 3.4× 200 0.1× 1.1k 1.4× 1.7k 2.3× 414 15.2k
Abraham Bernstein Switzerland 40 2.2k 0.5× 2.2k 0.9× 631 0.3× 99 0.1× 1.2k 1.6× 210 5.2k
Alain Abran Canada 34 4.6k 1.1× 1.3k 0.5× 2.6k 1.1× 42 0.1× 965 1.3× 403 6.3k
Kai Petersen Sweden 33 4.2k 1.0× 1.2k 0.5× 1.2k 0.5× 43 0.1× 1.4k 1.8× 120 6.9k
Carl A. Gunter United States 39 1.3k 0.3× 2.7k 1.1× 356 0.2× 175 0.2× 1.8k 2.4× 178 5.3k

Countries citing papers authored by Khaled El Emam

Since Specialization
Citations

This map shows the geographic impact of Khaled El Emam'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 Khaled El Emam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Khaled El Emam more than expected).

Fields of papers citing papers by Khaled El Emam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Khaled El Emam. 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 Khaled El Emam. The network helps show where Khaled El Emam may publish in the future.

Co-authorship network of co-authors of Khaled El Emam

This figure shows the co-authorship network connecting the top 25 collaborators of Khaled El Emam. A scholar is included among the top collaborators of Khaled El Emam 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 Khaled El Emam. Khaled El Emam 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.
Myles, Puja, Randi E. Foraker, Sengwee Toh, et al.. (2025). Crossing borders securely: synthetic data and federated networks for privacy-preserving access to real-world data and emerging use cases. npj Digital Medicine. 8(1). 758–758.
2.
Pilgram, Lisa, Haksoo Ko, Anthony K. H. Tung, & Khaled El Emam. (2025). Protecting patient privacy in tabular synthetic health data: a regulatory perspective. npj Digital Medicine. 8(1). 732–732.
3.
Pilgram, Lisa, et al.. (2025). Should we synthesize more than we need: impact of synthetic data generation for high-dimensional cross-sectional medical data. Journal of the American Medical Informatics Association. 32(12). 1843–1854.
4.
Smith, Aaron, et al.. (2024). Creating High-Quality Synthetic Health Data: Framework for Model Development and Validation. JMIR Formative Research. 8. e53241–e53241.
5.
Clemons, Mark, Lisa Vandermeer, Khaled El Emam, et al.. (2024). The REthinking Clinical Trials Program Retreat 2023: Creating Partnerships to Optimize Quality Cancer Care. Current Oncology. 31(3). 1376–1388.
6.
Emam, Khaled El, et al.. (2024). Perspectives of Canadian privacy regulators on anonymization practices and anonymized information: a qualitative study. International Data Privacy Law. 14(4). 391–403. 2 indexed citations
7.
Alipour, Pouria, Zahra Azizi, Valeria Raparelli, et al.. (2023). Role of sex and gender-related variables in development of metabolic syndrome: A prospective cohort study. European Journal of Internal Medicine. 121. 63–75. 21 indexed citations
8.
Mitsakakis, Nicholas, Gregory R. Pond, Lisa Vandermeer, et al.. (2023). Can synthetic data accurately mimic oncology clinical trials?. Journal of Clinical Oncology. 41(16_suppl). 1554–1554. 2 indexed citations
9.
Azizi, Zahra, Pouria Alipour, Farhad Maleki, et al.. (2022). Importance of sex and gender factors for COVID-19 infection and hospitalisation: a sex-stratified analysis using machine learning in UK Biobank data. BMJ Open. 12(5). e050450–e050450. 8 indexed citations
10.
Azizi, Zahra, et al.. (2021). Can synthetic data be a proxy for real clinical trial data? A validation study. BMJ Open. 11(4). e043497–e043497. 60 indexed citations
11.
Emam, Khaled El, et al.. (2018). Comparing the benefits of pseudonymisation and anonymisation under the GDPR. 2(2). 145–145. 24 indexed citations
12.
Emam, Khaled El & Luk Arbuckle. (2013). Anonymizing Health Data: Case Studies and Methods to Get You Started. 46 indexed citations
13.
Sokolova, Marina, et al.. (2013). Authorship Attribution in Health Forums. Recent Advances in Natural Language Processing. 74–82. 3 indexed citations
14.
Emam, Khaled El & Nazim H. Madhavji. (1999). Elements of Software Process Assessment & Improvement. IEEE Computer Society Press eBooks. 40 indexed citations
15.
Briand, Lionel, Khaled El Emam, & Frank Bomarius. (1998). COBRA: a hybrid method for software cost estimation, benchmarking, and risk assessment. International Conference on Software Engineering. 390–399. 90 indexed citations
16.
Emam, Khaled El, et al.. (1997). Spice: The Theory and Practice of Software Process Improvement and Capability Determination. IEEE Computer Society Press eBooks. 177 indexed citations
17.
Briand, Lionel, Khaled El Emam, & Sandro Morasca. (1995). Theoretical and Empirical Validation of Software Product Measures. 53 indexed citations
18.
Emam, Khaled El, et al.. (1993). Empirically Driven Improvement of Generic Process Models.. 61–65. 1 indexed citations
19.
Keller, Rudolf K., et al.. (1993). A comprehensive process model for studying software process papers. International Conference on Software Engineering. 78–88. 1 indexed citations
20.
Emam, Khaled El, et al.. (1991). Object oriented neural networks. 1007–1010. 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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