World's Best Scientists 2026 revealed!
David K. Gifford

David K. Gifford

D-Index & Metrics

Computer Science

D-Index
69
Citations
23444
World Ranking
1948
National Ranking
987

David K. Gifford 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 David K. Gifford 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: 189 publications — 42nd percentile

42% of scientists in this discipline score the same or lower.

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

David K. Gifford 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 David K. Gifford 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: 69 D-Index — 87th percentile

87% 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

  • 2011 - ACM Fellow For contributions to distributed systems, e-commerce and content distribution.
  • 2000 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

David K. Gifford is affiliated with MIT in the United States and specializes in research areas encompassing Biochemistry, Genetics and Molecular Biology, with a focus on Molecular Biology, Immunology, and Artificial Intelligence. Their work spans fields such as Medicine, Infectious Diseases, and Computer Vision and Pattern Recognition.

The scientist's research topics include vaccines and immunoinformatics approaches, immunotherapy and immune responses, SARS-CoV-2 and COVID-19 research, RNA research and splicing, genomics and chromatin dynamics, CRISPR and genetic engineering, and monoclonal and polyclonal antibodies research.

Recent publications authored or co-authored by David K. Gifford include:

  • Computationally Optimized SARS-CoV-2 MHC Class I and II Vaccine Formulations Predicted to Target Human Haplotype Distributions (2020, Cell Systems)
  • CAGI, the Critical Assessment of Genome Interpretation, establishes progress and prospects for computational genetic variant interpretation methods (2024, Genome biology)
  • Predicted Cellular Immunity Population Coverage Gaps for SARS-CoV-2 Subunit Vaccines and Their Augmentation by Compact Peptide Sets (2020, Cell Systems)
  • Transcriptional dynamics of murine motor neuron maturation in vivo and in vitro (2022, Nature Communications)
  • An expansion of the non-coding genome and its regulatory potential underlies vertebrate neuronal diversity (2021, Neuron)

The venues where they have frequently published research include bioRxiv (Cold Spring Harbor Laboratory), arXiv (Cornell University), Cell Systems, Proceedings of the AAAI Conference on Artificial Intelligence, and Genome biology.

Frequent co-authors in their research collaborations are Brandon Carter, Richard I. Sherwood, Jennifer Hammelman, Siddhartha Jain, and Zheng Dai.

David K. Gifford has been recognized with professional distinctions including being named an ACM Fellow in 2011 for contributions to distributed systems, e-commerce, and content distribution, as well as a Fellow of the American Association for the Advancement of Science (AAAS) in 2000.

Best Publications

  • Transcriptional Regulatory Networks in Saccharomyces cerevisiae

    Tong Ihn Lee;Nicola J. Rinaldi;François Robert;Duncan T. Odom

  • Weighted voting for replicated data

    David K. Gifford

  • An improved map of conserved regulatory sites for Saccharomyces cerevisiae

    Kenzie D MacIsaac;Ting Wang;D Benjamin Gordon;D Benjamin Gordon;David K Gifford

  • Computational discovery of gene modules and regulatory networks.

    Ziv Bar-Joseph;Georg K Gerber;Tong Ihn Lee;Nicola J Rinaldi

  • Semantic file systems

    David K. Gifford;Pierre Jouvelot;Mark A. Sheldon;James W. O'Toole

  • Polymorphic effect systems

    J. M. Lucassen;D. K. Gifford

  • Fast optimal leaf ordering for hierarchical clustering.

    Ziv Bar-Joseph;David K. Gifford;Tommi S. Jaakkola

  • Predictable and precise template-free CRISPR editing of pathogenic variants

    Max W. Shen;Mandana Arbab;Jonathan Y. Hsu;Daniel Worstell

  • Using graphical models and genomic expression data to statistically validate models of genetic regulatory networks.

    Alexander J. Hartemink;David K. Gifford;Tommi S. Jaakkola;Richard A. Young

  • Convolutional neural network architectures for predicting DNA–protein binding

    Haoyang Zeng;Matthew D. Edwards;Ge Liu;David K. Gifford

  • Discovery of directional and nondirectional pioneer transcription factors by modeling DNase profile magnitude and shape

    Richard I Sherwood;Tatsunori Hashimoto;Charles W O'Donnell;Charles W O'Donnell;Sophia Lewis

  • Rover: a toolkit for mobile information access

    A. D. Joseph;A. F. de Lespinasse;J. A. Tauber;D. K. Gifford

  • Combining location and expression data for principled discovery of genetic regulatory network models.

    Alexander J. Hartemink;David K. Gifford;Tommi S. Jaakkola;Richard A. Young

  • Remote evaluation

    James W. Stamos;David K. Gifford

  • Continuous Representations of Time-Series Gene Expression Data

    Ziv Bar-Joseph;Georg K. Gerber;David K. Gifford;Tommi S. Jaakkola

  • High Resolution Genome Wide Binding Event Finding and Motif Discovery Reveals Transcription Factor Spatial Binding Constraints

    Yuchun Guo;Shaun Mahony;David K. Gifford

  • Integrating functional and imperative programming

    David K. Gifford;John M. Lucassen

  • Mesh-based content routing using XML

    Alex C. Snoeren;Kenneth Conley;David K. Gifford

  • A new approach to analyzing gene expression time series data

    Ziv Bar-Joseph;Georg Gerber;David K. Gifford;Tommi S. Jaakkola

  • High-throughput mapping of regulatory DNA

    Nisha Rajagopal;Sharanya Srinivasan;Sharanya Srinivasan;Kameron Kooshesh;Kameron Kooshesh;Yuchun Guo

Frequent Co-Authors

Hynek Wichterle
Hynek Wichterle Columbia University
Tatsunori B. Hashimoto
Tatsunori B. Hashimoto Stanford University
Ziv Bar-Joseph
Ziv Bar-Joseph Carnegie Mellon University
Alexander J. Hartemink
Alexander J. Hartemink Duke University
Douglas A. Melton
Douglas A. Melton Harvard University
Julia Zeitlinger
Julia Zeitlinger Stowers Institute for Medical Research

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Related Online Degrees & Career Pathways

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