2026 Bradley A. Malin: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	56	4115	4000	1949	1882	260	11423

Bradley A. Malin publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Bradley A. Malin sits on this spectrum.

32 publications 991+

This scientist: 260 publications — 65th percentile

65% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Bradley A. Malin D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Bradley A. Malin sits on this spectrum.

30 D-Index 131+

This scientist: 56 D-Index — 72nd percentile

72% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

2018 - Member of the National Academy of Medicine (NAM)

Overview

Bradley A. Malin is affiliated with Vanderbilt University Medical Center in the United States. Their research focuses primarily on the intersection of computer science and medicine, particularly exploring artificial intelligence applications, health informatics, and privacy-preserving technologies in healthcare.

Malin's scholarly work has been published in various prominent venues, with notable frequency in:

arXiv (Cornell University)
Journal of the American Medical Informatics Association
bioRxiv (Cold Spring Harbor Laboratory)
Journal of Medical Internet Research
Studies in Health Technology and Informatics

Their main fields of study cover:

Computer Science
Medicine

Within these disciplines, Malin specializes in subfields such as:

Artificial Intelligence
Public Health, Environmental and Occupational Health
Health Informatics
Health Information Management
Sociology and Political Science

Malin's research topics include:

Machine Learning in Healthcare
Privacy-Preserving Technologies in Data
Artificial Intelligence in Healthcare and Education
Ethics in Clinical Research
Topic Modeling
Artificial Intelligence in Healthcare
Biomedical Text Mining and Ontologies

Recent papers illustrate the breadth of Malin's work:

"Predicting Missing Values in Medical Data Via XGBoost Regression," 2020, Journal of Healthcare Informatics Research
"Human-Centered Design to Address Biases in Artificial Intelligence," 2023, Journal of Medical Internet Research
"Sociotechnical safeguards for genomic data privacy," 2022, Nature Reviews Genetics
"A Multifaceted benchmarking of synthetic electronic health record generation models," 2022, Nature Communications
"From GPT to DeepSeek: Significant gaps remain in realizing AI in healthcare," 2025, Journal of Biomedical Informatics

Frequent collaborators include:

Chao Yan
Ellen Wright Clayton
Yevgeniy Vorobeychik
Zhijun Yin
Zhiyu Wan

Malin has also contributed to academic publishing through book chapters, including a work published by Springer Science+Business Media titled "Data and Applications Security and Privacy XXXVI" in 2022.

The scientist has been recognized through election as a Member of the National Academy of Medicine in 2018.

Best Publications

Preserving privacy by de-identifying face images

E.M. Newton;L. Sweeney;B. Malin

754
Citations
A Systematic Review of Re-Identification Attacks on Health Data

Khaled El Emam;Elizabeth Jonker;Luk Arbuckle;Bradley Malin

485
Citations
Generating Multi-label Discrete Patient Records using Generative Adversarial Networks

Edward Choi;Siddharth Biswal;Bradley A. Malin;Jon Duke

458
Citations
Evaluating re-identification risks with respect to the HIPAA privacy rule

Kathleen Benitez;Bradley A. Malin

360
Citations
How (not) to protect genomic data privacy in a distributed network: using trail re-identification to evaluate and design anonymity protection systems

Bradley Malin;Latanya Sweeney

345
Citations
Privacy in the Genomic Era

Muhammad Naveed;Erman Ayday;Ellen W. Clayton;Jacques Fellay

328
Citations
Anonymising and sharing individual patient data.

Khaled El Emam;Khaled El Emam;Sam Rodgers;Bradley Malin

241
Citations
Limestone: High-throughput candidate phenotype generation via tensor factorization

Joyce C. Ho;Joydeep Ghosh;Steven R. Steinhubl;Walter F. Stewart

195
Citations
Rubik: Knowledge Guided Tensor Factorization and Completion for Health Data Analytics

Yichen Wang;Robert Chen;Joydeep Ghosh;Joshua C. Denny

195
Citations
A Cryptographic Approach to Securely Share and Query Genomic Sequences

M. Kantarcioglu;Wei Jiang;Ying Liu;B. Malin

193
Citations
Integrating utility into face de-identification

Ralph Gross;Edoardo Airoldi;Bradley Malin;Latanya Sweeney

191
Citations
An evaluation of the current state of genomic data privacy protection technology and a roadmap for the future.

Bradley A. Malin

182
Citations
Unsupervised Name Disambiguation via Social Network Similarity

Bradley Malin

181
Citations
Biomedical data privacy: problems, perspectives, and recent advances

Bradley A Malin;Khaled El Emam;Khaled El Emam;Christine M O'Keefe

180
Citations
The MITRE Identification Scrubber Toolkit: Design, training, and assessment

John S. Aberdeen;Samuel Bayer;Reyyan Yeniterzi;Benjamin Wellner

174
Citations
Anonymization of electronic medical records for validating genome-wide association studies

Grigorios Loukides;Aris Gkoulalas-Divanis;Bradley Malin

164
Citations
The disclosure of diagnosis codes can breach research participants' privacy.

Grigorios Loukides;Joshua C. Denny;Bradley A. Malin

159
Citations
Predicting Missing Values in Medical Data via XGBoost Regression

Xinmeng Zhang;Chao Yan;Cheng Gao;Bradley A Malin

157
Citations
Design and implementation of a privacy preserving electronic health record linkage tool in Chicago.

Abel N Kho;John P Cashy;Kathryn L Jackson;Adam R Pah

151
Citations
A systematic literature review of individuals' perspectives on privacy and genetic information in the United States.

Ellen W. Clayton;Colin M. Halverson;Nila A. Sathe;Bradley A. Malin

149
Citations
Technical and policy approaches to balancing patient privacy and data sharing in clinical and translational research.

Bradley Malin;David Karp;Richard H. Scheuermann

141
Citations
Correction: a systematic review of re-identification attacks on health data.

Khaled El Emam;Elizabeth Jonker;Luk Arbuckle;Bradley Malin

7
Citations

Frequent Co-Authors

Murat Kantarcioglu The University of Texas at Dallas

Yevgeniy Vorobeychik Washington University in St. Louis

Ellen Wright Clayton Vanderbilt University Medical Center

Joshua C. Denny National Institutes of Health

Carl A. Gunter University of Illinois at Urbana-Champaign

Jimeng Sun University of Illinois at Urbana-Champaign

Khaled El Emam University of Ottawa

Francesco Bonchi Institute for Scientific Interchange

Edoardo M. Airoldi Temple University

Joydeep Ghosh The University of Texas at Austin

External Links

Personal website of Bradley A. Malin Google Scholar page

If you think any of the details on this page are incorrect, let us know.

Related Online Degrees & Career Pathways

Exploring various educational routes is essential for those interested in Computer Science in the USA. While a bachelor’s program is the traditional entryway, several other academic options can help you build a strong foundation or advance your career.

If you want a flexible and affordable start, consider online associate’s degree programs. These often provide a solid introduction to core computer science concepts and can be completed in two years. For cost-conscious students, cheap online college classes allow you to gain credits or skills without a high price tag.

Many professionals enhance their prospects by pursuing one of the most useful masters degrees in areas like artificial intelligence, data science, or cybersecurity. These in-demand programs can significantly improve your job market value.

Worried about your grades? Some reputable institutions are known as best online colleges that accept low GPA applicants, opening doors to advanced study or career pivots even with less-than-perfect transcripts.