World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
73
Citations
24307
World Ranking
1570
National Ranking
821

John H. Reif 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 John H. Reif 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: 410 publications — 88th percentile

88% of scientists in this discipline score the same or lower.

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

John H. Reif 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 John H. Reif 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: 73 D-Index — 89th percentile

89% 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

  • 2003 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 1997 - ACM Fellow For major and fundamental theoretical contributions to a wide range of emerging areas in computer science, particularly parallel computing and robotics.

Overview

John H. Reif is affiliated with Duke University in the United States. Their research spans multiple disciplines, primarily focusing on biochemistry, genetics, and molecular biology, alongside engineering. Key subfields include molecular biology, biomedical engineering, mechanical engineering, ecology, and infectious diseases.

Their work covers a range of scientific topics such as advanced biosensing and bioanalysis techniques, DNA and biological computing, DNA and nucleic acid chemistry, RNA interference and gene delivery, biosensors and analytical detection, bacteriophages and microbial interactions, and modular robots and swarm intelligence.

Frequent co-authors collaborating with John H. Reif include Daniel Fu, Shalin Shah, Xin Song, Rajiv Teja Nagipogu, and Tianqi Song.

Their research has been published in various respected venues, with multiple contributions to the Journal of The Royal Society Interface, Scientific Reports, Science Advances, Theoretical Computer Science, and Nanoscale.

Notable recent publications include:

  • A lyophilized colorimetric RT-LAMP test kit for rapid, low-cost, at-home molecular testing of SARS-CoV-2 and other pathogens (2022, Scientific Reports)
  • Using Strand Displacing Polymerase To Program Chemical Reaction Networks (2020, Journal of the American Chemical Society)
  • Automated design of 3D DNA origami with non-rasterized 2D curvature (2022, Science Advances)
  • 3D DNA Nanostructures: The Nanoscale Architect (2021, Applied Sciences)
  • Multidimensional data organization and random access in large-scale DNA storage systems (2021, Theoretical Computer Science)

John H. Reif has been recognized as a Fellow of the American Association for the Advancement of Science (AAAS) since 2003. In 1997, they were named an ACM Fellow for their contributions to emerging areas in computer science, particularly in parallel computing and robotics.

Best Publications

  • Complexity of the mover's problem and generalizations

    John H. Reif

  • Logical computation using algorithmic self-assembly of DNA triple-crossover molecules

    Chengde Mao;Thomas H. LaBean;John H. Reif;Nadrian C. Seeman

  • Construction, analysis, ligation, and self-assembly of DNA triple crossover complexes

    Thomas H. LaBean;Hao Yan;Jens Kopatsch;Furong Liu

  • Social potential fields : A distributed behavioral control for autonomous robots

    John H. Reif;Hongyan Wang

  • New lower bound techniques for robot motion planning problems

    John Canny;John Reif

  • The complexity of elementary algebra and geometry

    Michael Ben-Or;Dexter Kozen;John Reif

  • DNA-based Cryptography

    Ashish Gehani;Thomas H. LaBean;John H. Reif

  • Kinodynamic motion planning

    Bruce Donald;Patrick Xavier;John Canny;John Reif

  • Parallel tree contraction and its application

    Gary L. Miller;John H. Reif

  • Programming DNA Tube Circumferences

    Peng Yin;Rizal F. Hariadi;Sudheer Sahu;Harry M. T. Choi

  • Motion planning in the presence of moving obstacles

    John Reif;Micha Sharir

  • The bridge test for sampling narrow passages with probabilistic roadmap planners

    D. Hsu;Tingting Jiang;J. Reif;Zheng Sun

  • Synthesis of Parallel Algorithms

    John H. Reif

  • Depth-first search is inherently sequential

    John H. Reif

  • A logarithmic time sort for linear size networks

    John H. Reif;Leslie G. Valiant

  • The complexity of two-player games of incomplete information

    John H. Reif

  • Motion planning in the presence of moving obstacles

    John Reif;Micha Sharir

  • Compact error-resilient computational DNA tiling assemblies

    John H. Reif;Sudheer Sahu;Peng Yin

  • Efficient parallel solution of linear systems

    V Pan;J Reif

  • Fast and compact DNA logic circuits based on single-stranded gates using strand-displacing polymerase.

    Tianqi Song;Abeer Eshra;Shalin Shah;Hieu Bui

  • Complexity of the Mover's Problem and Generalizations Extended Abstract

    John H. Reif

  • A Logarithmic Time Sort for Linear Size Networks. Revised.

    John H Reif;Leslie G Valiant

Frequent Co-Authors

Thomas H. LaBean
Thomas H. LaBean North Carolina State University
Victor Y. Pan
Victor Y. Pan City University of New York
Sanguthevar Rajasekaran
Sanguthevar Rajasekaran University of Connecticut
Hao Yan
Hao Yan Arizona State University
Paul G. Spirakis
Paul G. Spirakis University of Liverpool
Jan F. Prins
Jan F. Prins University of North Carolina at Chapel Hill
Gary L. Miller
Gary L. Miller Carnegie Mellon University
John Canny
John Canny University of California, Berkeley
Nadrian C. Seeman
Nadrian C. Seeman New York University
J. D. Tygar
J. D. Tygar University of California, Berkeley

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