World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
6200
World Ranking
8919
National Ranking
3798

Jacob Beal 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 Jacob Beal 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: 215 publications — 52nd percentile

52% of scientists in this discipline score the same or lower.

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

Jacob Beal 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 Jacob Beal 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: 41 D-Index — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Overview

Jacob Beal is affiliated with Raytheon in the United States and has contributed extensively to the fields of biochemistry, genetics, and molecular biology. Their research primarily focuses on molecular biology and intersects with computer networks and communications, biophysics, biomedical engineering, and information systems and management.

Beal's work covers several main topics, including gene regulatory network analysis, CRISPR and genetic engineering, microbial metabolic engineering and bioproduction, bioinformatics and genomic networks, scientific computing and data management, modular robots and swarm intelligence, and distributed control multi-agent systems.

Frequent co-authors of Jacob Beal include:

  • Chris J. Myers
  • Bryan Bartley
  • Tom Mitchell
  • Nicholas Roehner
  • Mark Weston

Jacob Beal has published numerous articles in prominent venues such as:

  • ACS Synthetic Biology
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics
  • Synthetic Biology
  • Harvard Dataverse

Selected recent publications authored or co-authored by Jacob Beal include:

  • Robust estimation of bacterial cell count from optical density, 2020, Communications Biology
  • The long journey towards standards for engineering biosystems, 2020, EMBO Reports

Additional notable related publications in the synthetic biology open language (SBOL) domain include:

  • The Synthetic Biology Open Language (SBOL) Version 3: Simplified Data Exchange for Bioengineering, 2020, Frontiers in Bioengineering and Biotechnology
  • Synthetic biology open language (SBOL) version 3.1.0, 2023, Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics
  • Synthetic biology open language (SBOL) version 3.0.0, 2020, Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics

Best Publications

  • Cas9 gRNA engineering for genome editing, activation and repression

    Samira Kiani;Alejandro Chavez;Alejandro Chavez;Marcelle Tuttle;Richard N Hall

  • The Synthetic Biology Open Language (SBOL) provides a community standard for communicating designs in synthetic biology

    Michal Galdzicki;Kevin P. Clancy;Ernst Oberortner;Matthew Pocock

  • CIDAR MoClo: Improved MoClo Assembly Standard and New E. coli Part Library Enable Rapid Combinatorial Design for Synthetic and Traditional Biology.

    Sonya V. Iverson;Traci L. Haddock;Jacob Beal;Douglas M. Densmore

  • Infrastructure for engineered emergence on sensor/actuator networks

    J. Beal;J. Bachrach

  • Aggregate Programming for the Internet of Things

    Jacob Beal;Danilo Pianini;Mirko Viroli

  • CRISPR transcriptional repression devices and layered circuits in mammalian cells

    Samira Kiani;Jacob Beal;Mohammad R Ebrahimkhani;Jin Huh

  • Organizing the Aggregate: Languages for Spatial Computing

    Jacob Beal;Stefan Dulman;Kyle Usbeck;Mirko Viroli

  • Protelis: practical aggregate programming

    Danilo Pianini;Mirko Viroli;Jacob Beal

  • Automatic Compilation from High-Level Biologically-Oriented Programming Language to Genetic Regulatory Networks

    Jacob S. Beal;Ting Lu;Ron Weiss

  • Biochemical complexity drives log-normal variation in genetic expression

    Jacob Beal

  • An End-to-End Workflow for Engineering of Biological Networks from High-Level Specifications

    Jacob Beal;Ron Weiss;Douglas Densmore;Aaron Adler

  • Engineering Resilient Collective Adaptive Systems by Self-Stabilisation

    Mirko Viroli;Giorgio Audrito;Jacob Beal;Ferruccio Damiani

  • Composable continuous-space programs for robotic swarms

    Jonathan Bachrach;Jacob Beal;James McLurkin

  • SBOL Visual: A Graphical Language for Genetic Designs

    Jacqueline Y. Quinn;Robert Sidney Cox;Aaron Adler;Jacob Beal

  • Sharing Structure and Function in Biological Design with SBOL 2.0.

    Nicholas Roehner;Jacob Beal;Kevin Clancy;Bryan Bartley

  • From distributed coordination to field calculus and aggregate computing

    Mirko Viroli;Jacob Beal;Ferruccio Damiani;Giorgio Audrito

  • Accurate predictions of genetic circuit behavior from part characterization and modular composition.

    Noah Davidsohn;Jacob Beal;Samira Kiani;Aaron Adler

  • Fast self-healing gradients

    Jacob Beal;Jonathan Bachrach;Dan Vickery;Mark Tobenkin

  • Quantification of bacterial fluorescence using independent calibrants

    Jacob Beal;Traci Haddock-Angelli;Geoff Baldwin;Markus Gershater

  • Programming an amorphous computational medium

    Jacob Beal

  • Methods and apparatus for energy demand management

    Jacob S. Beal;Jonathan R. Bachrach

Frequent Co-Authors

Mirko Viroli
Mirko Viroli University of Bologna
Chris J. Myers
Chris J. Myers University of Colorado Boulder
Herbert M. Sauro
Herbert M. Sauro University of Washington
Soura Dasgupta
Soura Dasgupta University of Iowa
John H. Gennari
John H. Gennari University of Washington
Guy-Bart Stan
Guy-Bart Stan Imperial College London
Nicolas Le Novère
Nicolas Le Novère Babraham Institute
George M. Church
George M. Church Harvard University

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