World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
27774
World Ranking
6973
National Ranking
3052

Matthew K. Franklin 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 Matthew K. Franklin 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: 103 publications — 9th percentile

9% of scientists in this discipline score the same or lower.

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

Matthew K. Franklin 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 Matthew K. Franklin 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: 45 D-Index — 51st percentile

51% of scientists in this discipline score the same or lower.

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

Overview

Matthew K. Franklin is affiliated with the University of California, Davis in the United States. Their research spans the intersection of medicine and economics, with significant contributions in the fields of Health Systems, Economic Evaluations, and Quality of Life. Their work integrates expertise from economics and econometrics to address health policy and pharmaceutical economics.

Their most frequent publication venues include:

  • Value in Health
  • Quality of Life Research
  • Applied Health Economics and Health Policy
  • NIHR Open Research
  • BMC Health Services Research

Key topics covered in their research are:

  • Health Systems, Economic Evaluations, Quality of Life
  • Healthcare Policy and Management
  • Pharmaceutical Economics and Policy
  • Health Policy Implementation Science
  • Viral-associated cancers and disorders
  • Health disparities and outcomes
  • Healthcare cost, quality, practices

Frequent coauthors in their body of work include:

  • Tracey Young
  • John Brazier
  • Sebastian Hinde
  • Susan Baxter
  • Joseph Kwon

Matthew Franklin's publication record includes papers such as:

  • Psychometric assessment of EQ-5D-5L and ReQoL measures in patients with anxiety and depression: construct validity and responsiveness, 2021, published in Quality of Life Research
  • Conducting Value for Money Analyses for Non-randomised Interventional Studies Including Service Evaluations: An Educational Review with Recommendations, 2020, PharmacoEconomics

Other notable papers connected to their sphere of work include:

  • A pragmatic randomized waitlist-controlled effectiveness and cost-effectiveness trial of digital interventions for depression and anxiety, 2020, npj Digital Medicine
  • Author Correction: A pragmatic randomized waitlist-controlled effectiveness and cost-effectiveness trial of digital interventions for depression and anxiety, 2020, npj Digital Medicine
  • Economic Evaluation Evidence for Resource-Allocation Decision Making: Bridging the Gap for Local Decision Makers Using English Case Studies, 2022, Applied Health Economics and Health Policy

Matthew Franklin's research output reflects a consistent focus on economic evaluations and health policy analysis within clinical and public health contexts. Their publishing activity over the years demonstrates involvement in studies related to mental health, resource allocation, and methodological advancements for evaluating healthcare interventions.

Best Publications

  • Identity-Based Encryption from the Weil Pairing

    Dan Boneh;Matthew K. Franklin

  • Identity-Based Encryption from the Weil Pairing

    Dan Boneh;Matthew Franklin

  • Advances in Cryptology – CRYPTO 2004

    Matt Franklin

  • An algebraic approach to IP traceback

    Drew Dean;Matt Franklin;Adam Stubblefield

  • Multi-authority secret-ballot elections with linear work

    Ronald Cramer;Matthew Franklin;Berry Schoenmakers;Moti Yung

  • The design and implementation of a secure auction service

    M.K. Franklin;M.K. Reiter

  • Efficient generation of shared RSA keys

    Dan Boneh;Matthew Franklin

  • An efficient public key traitor tracing scheme

    D. Boneh;M. Franklin

  • Fair Exchange with a Semi-Trusted Third Party

    Matthew K. Franklin;Michael K. Reiter

  • Systems and methods for identity-based encryption and related cryptographic techniques

    Dan Boneh;Matthew Franklin

  • Secure auction systems

    Matthew K. Franklin;Michael K. Reiter

  • Communication complexity of secure computation (extended abstract)

    Matthew Franklin;Moti Yung

  • Self-healing key distribution with revocation

    J. Staddon;S. Miner;M. Franklin;D. Balfanz

  • Efficient Generation of Shared RSA Keys (Extended Abstract)

    Dan Boneh;Matthew K. Franklin

  • Enhancing privacy and trust in electronic communities

    Bernardo A. Huberman;Matt Franklin;Tad Hogg

  • Low-exponent RSA with related messages

    Don Coppersmith;Matthew Franklin;Jacques Patarin;Michael Reiter

  • Fair exchange with a semi-trusted third party (extended abstract)

    Matthew K. Franklin;Michael K. Reiter

  • Secure Communication in Minimal Connectivity Models

    Matthew Franklin;Rebecca N. Wright

  • Efficiency tradeoffs for malicious two-party computation

    Payman Mohassel;Matthew Franklin

  • An Algebraic Approach to IP Traceback.

    Drew Dean;Matthew K. Franklin;Adam Stubblefield

Frequent Co-Authors

Dan Boneh
Dan Boneh Stanford University
Moti Yung
Moti Yung Columbia University
Michael K. Reiter
Michael K. Reiter Duke University
Juan A. Garay
Juan A. Garay Texas A&M University
Rebecca N. Wright
Rebecca N. Wright Barnard College
Jonathan Katz
Jonathan Katz University of Maryland, College Park
Amos Beimel
Amos Beimel Ben-Gurion University of the Negev
Yevgeniy Dodis
Yevgeniy Dodis New York University
Paul M. B. Vitányi
Paul M. B. Vitányi Centrum Wiskunde & Informatica
Dahlia Malkhi
Dahlia Malkhi Diem Association

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