2026 Donald E. Brown: 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	38	10005	9720	4218	4043	246	9651

Overview

Donald E. Brown is affiliated with the University of Virginia in the United States. Their research spans two primary fields: Medicine and Computer Science, with particularly significant contributions in Artificial Intelligence, Cardiology and Cardiovascular Medicine, Molecular Biology, Oncology, and Computer Vision and Pattern Recognition.

The focus areas of their work include:

AI in cancer detection
Colorectal Cancer Screening and Detection
Long-Term Effects of COVID-19
Heart Rate Variability and Autonomic Control
Radiomics and Machine Learning in Medical Imaging
Gastrointestinal Bleeding Diagnosis and Treatment
Cardiovascular and exercise physiology

Among the frequent venues in which Donald E. Brown publishes are:

arXiv (Cornell University)
bioRxiv (Cold Spring Harbor Laboratory)
Advances in intelligent systems and computing
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
IEEE Journal of Biomedical and Health Informatics

They have collaborated often with several co-authors, including:

Sana Syed
Lubaina Ehsan
Johanna Loomba
Philip Fernandes
Sodiq Adewole

Recent publications by Donald E. Brown illustrate a range of topics and methods, including machine learning applications in healthcare and biomedical research:

"Medicine 2032: The future of cardiovascular disease prevention with machine learning and digital health technology", 2022, American Journal of Preventive Cardiology
"Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification", 2021, arXiv (Cornell University)
"Embeddings of genomic region sets capture rich biological associations in lower dimensions", 2021, Bioinformatics
"Risk Factors Associated with Post-Acute Sequelae of SARS-CoV-2 in an EHR Cohort: A National COVID Cohort Collaborative (N3C) Analysis as part of the NIH RECOVER program", 2022, bioRxiv (Cold Spring Harbor Laboratory)
"Deep Learning for Whole-Slide Tissue Histopathology Classification: A Comparative Study in the Identification of Dysplastic and Non-Dysplastic Barrett's Esophagus", 2020, Journal of Personalized Medicine

Best Publications

Text Classification Algorithms: A Survey

Kamran Kowsari;Kiana Jafari Meimandi;Mojtaba Heidarysafa;Sanjana Mendu

2266
Citations
URBAN FREEWAY TRAFFIC FLOW PREDICTION: APPLICATION OF SEASONAL AUTOREGRESSIVE INTEGRATED MOVING AVERAGE AND EXPONENTIAL SMOOTHING MODELS

Billy M. Williams;Priya K. Durvasula;Donald E. Brown

640
Citations
HDLTex: Hierarchical Deep Learning for Text Classification

Kamran Kowsari;Donald E. Brown;Mojtaba Heidarysafa;Kiana Jafari Meimandi

477
Citations
Automatic crime prediction using events extracted from twitter posts

Xiaofeng Wang;Matthew S. Gerber;Donald E. Brown

446
Citations
Health-status monitoring through analysis of behavioral patterns

T.S. Barger;D.E. Brown;M. Alwan

390
Citations
Fast generic selection of features for neural network classifiers

F.Z. Brill;D.E. Brown;W.N. Martin

356
Citations
Decision trees for real-time transient stability prediction

S. Rovnyak;S. Kretsinger;J. Thorp;D. Brown

330
Citations
RMDL: Random Multimodel Deep Learning for Classification

Kamran Kowsari;Mojtaba Heidarysafa;Donald E. Brown;Kiana Jafari Meimandi

209
Citations
A parallel genetic heuristic for the quadratic assignment problem

Donald E. Brown;Christopher L. Huntley;Andrew R. Spillane

201
Citations
Criminal incident prediction using a point-pattern-based density model

Hua Liu;Donald E. Brown

175
Citations
A Practical Application of Simulated Annealing to Clustering

D. E. Brown;C. L. Huntley

167
Citations
A Comparison of Decision Tree Classifiers with Backpropagation Neural Networks for Multi-Modal Classification Problems

Donald E. Brown;Vincent Corruble;Clarence L Pittard

156
Citations
The Regional Crime Analysis Program (ReCAP): a framework for mining data to catch criminals

D.E. Brown

149
Citations
An outlier-based data association method for linking criminal incidents

Song Lin;Donald E. Brown

145
Citations
Text Mining the Contributors to Rail Accidents

Donald E. Brown

134
Citations
Bayesian Estimation and the Kalman Filter

Allen L. Barker;Donald E. Brown;Worthy N. Martin

120
Citations
Intelligent Scheduling Systems

William T. Scherer;Donald E. Brown

115
Citations
Spatio-temporal modeling of criminal incidents using geographic, demographic, and twitter-derived information

Xiaofeng Wang;Donald E. Brown;Matthew S. Gerber

103
Citations
Global Optimization With Multivariate Adaptive Regression Splines

S. Crino;D.E. Brown

103
Citations
A parallel heuristic for quadratic assignment problems

Christopher L. Huntley;Donald E. Brown

102
Citations
Freight Routing and Scheduling at CSX Transportation

Christopher L. Huntley;Donald E. Brown;David E. Sappington;Bernard P. Markowicz

100
Citations

Frequent Co-Authors

Yang Ren City University of Hong Kong

Christopher A. Moskaluk University of Virginia

Yandong Wang University of Science and Technology Beijing

Malathi Veeraraghavan University of Virginia

Peter K. Liaw University of Tennessee at Knoxville

Robert L. Smith University of Michigan–Ann Arbor

Ahmed Abbasi University of Notre Dame

Richard Shepherd University of Surrey

John E. Pearson Argonne National Laboratory

Raymond Y. K. Lau City University of Hong Kong

External Links

Personal website of Donald E. Brown

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