World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
9651
World Ranking
10003
National Ranking
4218

Donald E. Brown 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 Donald E. Brown sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 246 publications — 61st percentile

61% of scientists in this discipline score the same or lower.

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

Donald E. Brown 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 Donald E. Brown sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 38 D-Index — 30th percentile

30% of scientists in this discipline score the same or lower.

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

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

  • 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

  • HDLTex: Hierarchical Deep Learning for Text Classification

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

  • Automatic crime prediction using events extracted from twitter posts

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

  • Health-status monitoring through analysis of behavioral patterns

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

  • Fast generic selection of features for neural network classifiers

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

  • Decision trees for real-time transient stability prediction

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

  • RMDL: Random Multimodel Deep Learning for Classification

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

  • A parallel genetic heuristic for the quadratic assignment problem

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

  • Criminal incident prediction using a point-pattern-based density model

    Hua Liu;Donald E. Brown

  • A Practical Application of Simulated Annealing to Clustering

    D. E. Brown;C. L. Huntley

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

    Donald E. Brown;Vincent Corruble;Clarence L Pittard

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

    D.E. Brown

  • An outlier-based data association method for linking criminal incidents

    Song Lin;Donald E. Brown

  • Text Mining the Contributors to Rail Accidents

    Donald E. Brown

  • Bayesian Estimation and the Kalman Filter

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

  • Intelligent Scheduling Systems

    William T. Scherer;Donald E. Brown

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

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

  • Global Optimization With Multivariate Adaptive Regression Splines

    S. Crino;D.E. Brown

  • A parallel heuristic for quadratic assignment problems

    Christopher L. Huntley;Donald E. Brown

  • Freight Routing and Scheduling at CSX Transportation

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

Frequent Co-Authors

Yang Ren
Yang Ren City University of Hong Kong
Christopher A. Moskaluk
Christopher A. Moskaluk University of Virginia
Yandong Wang
Yandong Wang University of Science and Technology Beijing
Malathi Veeraraghavan
Malathi Veeraraghavan University of Virginia
Peter K. Liaw
Peter K. Liaw University of Tennessee at Knoxville
Robert L. Smith
Robert L. Smith University of Michigan–Ann Arbor
Ahmed Abbasi
Ahmed Abbasi University of Notre Dame
Richard Shepherd
Richard Shepherd University of Surrey
John E. Pearson
John E. Pearson Argonne National Laboratory
Raymond Y. K. Lau
Raymond Y. K. Lau City University of Hong Kong

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