World's Best Scientists 2026 revealed!
Edward R. Dougherty

Edward R. Dougherty

D-Index & Metrics

Computer Science

D-Index
86
Citations
33303
World Ranking
764
National Ranking
410

Edward R. Dougherty 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 Edward R. Dougherty 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: 820 publications — 99th percentile

99% of scientists in this discipline score the same or lower.

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

Edward R. Dougherty 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 Edward R. Dougherty 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: 86 D-Index — 95th percentile

95% 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

  • 2012 - IEEE Fellow For contributions to the development of genomic signal processing
  • 2000 - SPIE Fellow

Overview

Edward R. Dougherty is affiliated with Texas A&M University in the United States. Their research spans multiple disciplines, primarily within computer science and biochemistry, genetics, and molecular biology. Dougherty's work frequently addresses topics at the intersection of computational methods and biological systems.

The main fields of study include:

  • Computer Science
  • Biochemistry, Genetics and Molecular Biology

Subfields of study Dougherty engages in are:

  • Molecular Biology
  • Artificial Intelligence
  • Control and Systems Engineering
  • Computational Theory and Mathematics
  • Statistics and Probability

Their primary research topics encompass:

  • Gene Regulatory Network Analysis
  • Microbial Metabolic Engineering and Bioproduction
  • Gaussian Processes and Bayesian Inference
  • Domain Adaptation and Few-Shot Learning
  • Bioinformatics and Genomic Networks
  • Computational Drug Discovery Methods
  • Neural Networks and Applications

Dougherty has published extensively, with recent notable papers including:

  • "Model-Based Robust Filtering and Experimental Design for Stochastic Differential Equation Systems," 2020, IEEE Transactions on Signal Processing
  • "Quantifying the Multi-Objective Cost of Uncertainty," 2021, IEEE Access
  • "Knowledge-driven learning, optimization, and experimental design under uncertainty for materials discovery," 2023, Patterns
  • "TRIMER: Transcription Regulation Integrated with Metabolic Regulation," 2021, iScience
  • "Optimal decision-making in high-throughput virtual screening pipelines," 2023, Patterns

The research outputs have appeared in several venues multiple times, including:

  • Patterns
  • arXiv (Cornell University)
  • IEEE Transactions on Signal Processing
  • iScience
  • bioRxiv (Cold Spring Harbor Laboratory)

Frequent collaborators of Dougherty include:

  • Xiaoning Qian
  • Byung-Jun Yoon
  • Francis J. Alexander
  • Lori A. Dalton
  • Puhua Niu

In addition to journal and conference publications, Dougherty has contributed to book literature. This includes the publication titled Optimal Bayesian Classification through SPIE in 2020.

Recognition for Dougherty's work includes awards such as:

  • IEEE Fellow, awarded in 2012, for contributions to the development of genomic signal processing
  • SPIE Fellow, awarded in 2000

Best Publications

  • Molecular classification of cutaneous malignant melanoma by gene expression profiling

    M. Bittner;P.S.J. Meltzer;Y.D. Chen;Y. Jiang

  • Probabilistic Boolean networks: a rule-based uncertainty model for gene regulatory networks

    Ilya Shmulevich;Edward R. Dougherty;Seungchan Kim;Wei Zhang

  • Ratio-based decisions and the quantitative analysis of cDNA micro-array images

    Yidong Chen;Edward R. Dougherty;Michael L. Bittner

  • Hands-on Morphological Image Processing

    Edward R. Dougherty;Roberto A. Lotufo

  • Morphological methods in image and signal processing

    Charles R. Giardina;Edward R. Dougherty

  • An introduction to morphological image processing

    Edward R. Dougherty

  • Is cross-validation valid for small-sample microarray classification?

    Ulisses M. Braga-Neto;Edward R. Dougherty

  • From Boolean to probabilistic Boolean networks as models of genetic regulatory networks

    I. Shmulevich;E.R. Dougherty;Wei Zhang

  • Optimal number of features as a function of sample size for various classification rules

    Jianping Hua;Zixiang Xiong;James Lowey;Edward Suh

  • Mathematical Morphology in Image Processing

    Edward R. Dougherty

  • Performance of feature-selection methods in the classification of high-dimension data

    Jianping Hua;Waibhav D. Tembe;Edward R. Dougherty

  • Gene selection: a Bayesian variable selection approach

    Kyeong Eun Lee;Naijun Sha;Edward R. Dougherty;Marina Vannucci

  • Small-sample precision of ROC-related estimates

    Blaise Hanczar;Jianping Hua;Chao Sima;John Weinstein

  • Gene perturbation and intervention in probabilistic Boolean networks.

    Ilya Shmulevich;Edward R. Dougherty;Wei Zhang

  • Fuzzification of set inclusion: theory and applications

    Divyendu Sinha;Edward R. Dougherty

  • Probability and Statistics for the Engineering, Computing and Physical Sciences

    Edward R. Dougherty

  • Model-based evaluation of clustering validation measures

    Marcel Brun;Chao Sima;Jianping Hua;James Lowey

  • External Control in Markovian Genetic Regulatory Networks

    Aniruddha Datta;Ashish Choudhary;Michael L. Bittner;Edward R. Dougherty

  • Optimal infinite-horizon control for probabilistic Boolean networks

    R. Pal;A. Datta;E.R. Dougherty

  • Evolving feature selection

    H. Liu;E.R. Dougherty;J.G. Dy;K. Torkkola

  • Molecular classification of cutaneous malignant melanoma by gene expression profiling

    M. Bittner;P. Meltzer;Y. Chen;Y. Jiang

Frequent Co-Authors

Aniruddha Datta
Aniruddha Datta Texas A&M University
Ulisses M. Braga-Neto
Ulisses M. Braga-Neto Texas A&M University
Robert P. Loce
Robert P. Loce Datto, Inc.
Ilya Shmulevich
Ilya Shmulevich Institute for Systems Biology
Lijun Qian
Lijun Qian Prairie View A&M University
Erchin Serpedin
Erchin Serpedin Texas A&M University
Jeffrey M. Trent
Jeffrey M. Trent Translational Genomics Research Institute
Robert S. Chapkin
Robert S. Chapkin Texas A&M University
Jaakko Astola
Jaakko Astola Tampere University
Paul S. Meltzer
Paul S. Meltzer National Institutes of Health

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