World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
8335
World Ranking
9186
National Ranking
3909

John C. Knight 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 C. Knight 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 235 publications — 58th percentile

58% of scientists in this discipline score the same or lower.

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

John C. Knight 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 C. Knight sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 40 D-Index — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Overview

John C. Knight was affiliated with the University of Virginia in the United States. Their research primarily focused on the field of Medicine, with significant contributions spread across several subfields including Health, Toxicology and Mutagenesis, Oncology, Emergency Medicine, Environmental Chemistry, and Pulmonary and Respiratory Medicine.

The scientist's work encompassed a range of topics such as Chemistry and Chemical Engineering, Innovative Microfluidic and Catalytic Techniques Innovation, Emergency and Acute Care Studies, Colorectal Cancer Screening and Detection, Global Cancer Incidence and Screening, Toxic Organic Pollutants Impact, and the Effects and Risks of Endocrine Disrupting Chemicals.

John C. Knight published regularly in various academic venues. The most frequent publication outlets included:

  • Organic Process Research & Development
  • JMIR Research Protocols
  • PLoS ONE
  • CMAJ Open
  • International Journal for Population Data Science

They coauthored numerous papers with several researchers, notably James A. Schwindeman, Sylvain Guizzetti, Alan Steven, Robert B. Kargbo, and Carlos Mateos, each collaborating on at least 26 publications.

Some of the recent papers associated with the scientist were:

  • Association of chronic pain with comorbidities and health care utilization: a retrospective cohort study using health administrative data, 2021, Pain
  • Polybrominated Diphenyl Ethers (PBDEs) in Marine Fish and Dietary Exposure in Newfoundland, 2022, EcoHealth
  • A Quality Improvement Emergency Department Surge Management Platform (SurgeCon): Protocol for a Stepped Wedge Cluster Randomized Trial, 2021, JMIR Research Protocols
  • Pediatric high users of Canadian hospitals and emergency departments, 2021, PLoS ONE
  • Identifying cases of chronic pain using health administrative data: A validation study, 2020, Canadian Journal of Pain

In addition to journal articles, John C. Knight contributed a book published by Eyrolles eBooks titled Comprendre la finance: Pour les non-financiers et les étudiants Ed. 3 in 2020.

Best Publications

  • An experimental evaluation of the assumption of independence in multiversion programming

    J. C. Knight;N. G. Leveson

  • Safety critical systems: challenges and directions

    John C. Knight

  • Data diversity: an approach to software fault tolerance

    P.E. Ammann;J.C. Knight

  • N-variant systems: a secretless framework for security through diversity

    Benjamin Cox;David Evans;Adrian Filipi;Jonathan Rowanhill

  • Software Tamper Resistance: Obstructing Static Analysis of Programs

    Chenxi Wang;Jonathan Hill;John Knight;Jack Davidson

  • An experimental evaluation of software redundancy as a strategy for improving reliability

    D.E. Eckhardt;A.K. Caglayan;J.C. Knight;L.D. Lee

  • An improved inspection technique

    John C. Knight;E. Ann Myers

  • Protection of software-based survivability mechanisms

    Chenxi Wang;J. Davidson;J. Hill;J. Knight

  • Analysis of faults in an N-version software experiment

    S.S. Brilliant;J.C. Knight;N.G. Leveson

  • Towards a rigorous definition of information system survivability

    J.C. Knight;E.A. Strunk;K.J. Sullivan

  • A New Approach to creating Clear Safety Arguments

    Richard Hawkins;Tim P. Kelly;John C. Knight;Patrick J. Graydon

  • On computer viral infection and the effect of immunization

    Chenxi Wang;J.C. Knight;M.C. Elder

  • Effectiveness of Moving Target Defenses

    David Evans;Anh Nguyen-Tuong;John C. Knight

  • Secure and practical defense against code-injection attacks using software dynamic translation

    Wei Hu;Jason Hiser;Dan Williams;Adrian Filipi

  • The use of self checks and voting in software error detection: an empirical study

    N.G. Leveson;S.S. Cha;J.C. Knight;T.J. Shimeall

  • A Framework for Software Fault Tolerance in Real-Time Systems

    T. Anderson;J.C. Knight

  • A security architecture for survivability mechanisms

    John Knight;Chenxi Wang

  • Security through Diversity: Leveraging Virtual Machine Technology

    D. Williams;Wei Hu;J.W. Davidson;J.D. Hiser

  • Security through redundant data diversity

    Anh Nguyen-Tuong;D. Evans;J.C. Knight;B. Cox

  • Survivability architectures: issues and approaches

    J.C. Knight;K.J. Sullivan;M.C. Elder;Chenxi Wang

Frequent Co-Authors

Jack W. Davidson
Jack W. Davidson University of Virginia
Kevin Sullivan
Kevin Sullivan University of Virginia
Paul Ammann
Paul Ammann George Mason University
David Evans
David Evans University of Virginia
Alexander L. Wolf
Alexander L. Wolf University of California, Santa Cruz
Westley Weimer
Westley Weimer University of Michigan–Ann Arbor
Premkumar Devanbu
Premkumar Devanbu University of California, Davis
Marty Humphrey
Marty Humphrey University of Virginia
Antonio Carzaniga
Antonio Carzaniga Universita della Svizzera Italiana

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