World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
5933
World Ranking
12975
National Ranking
5235

Peter Lee 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 Peter Lee 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: 104 publications — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Peter Lee 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 Peter Lee 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: 32 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Overview

Peter Lee is affiliated with Carnegie Mellon University in the United States, with a research focus spanning engineering and medicine. Their work primarily contributes to the fields of Mechanical Engineering and Biomedical Engineering, alongside involvement in Surgery, Automotive Engineering, and Radiation subfields.

The scientist's research topics encompass various areas related to additive manufacturing, advanced imaging techniques, and pathology. These include:

  • Additive Manufacturing Materials and Processes
  • Additive Manufacturing and 3D Printing Technologies
  • High Entropy Alloys Studies
  • Advanced X-ray Imaging Techniques
  • Pancreatitis Pathology and Treatment
  • Advanced X-ray and CT Imaging
  • Welding Techniques and Residual Stresses

Peter Lee has published in several frequent venues, indicating an active presence in both engineering and biomedical research domains. These venues include:

  • SSRN Electronic Journal
  • Gastroenterology
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Additive Manufacturing
  • Acta Materialia

Their recent papers demonstrate interdisciplinary reach and include the following works:

  • "Sparks of Artificial General Intelligence: Early experiments with GPT-4" (2023), published in arXiv (Cornell University)
  • "Keyhole fluctuation and pore formation mechanisms during laser powder bed fusion additive manufacturing" (2022), published in Nature Communications
  • "Imaging intact human organs with local resolution of cellular structures using hierarchical phase-contrast tomography" (2021), published in Nature Methods
  • "Towards understanding grain nucleation under Additive Manufacturing solidification conditions" (2020), published in Acta Materialia
  • "In-situ Synchrotron imaging of keyhole mode multi-layer laser powder bed fusion additive manufacturing" (2020), published in Applied Materials Today

Collaborations are a significant aspect of Peter Lee's work, with frequent coauthors including Chu Lun Alex Leung, Sebastian Marussi, Claire Walsh, Paul Tafforeau, and Robert Atwood. These collaborations span multiple projects and publications, highlighting a partnered research approach.

Best Publications

  • Safe kernel extensions without run-time checking

    George C. Necula;Peter Lee

  • The design and implementation of a certifying compiler

    George C. Necula;Peter Lee

  • TIL: a type-directed optimizing compiler for ML

    David Tarditi;Greg Morrisett;Perry Cheng;Chris Stone

  • Safe, Untrusted Agents Using Proof-Carrying Code

    George C. Necula;Peter Lee

  • Compiling with proofs

    George Ciprian Necula;Peter Lee

  • Optimizing ML with run-time code generation

    Peter Lee;Mark Leone

  • A certifying compiler for Java

    Christopher Colby;Peter Lee;George C. Necula;Fred Blau

  • High-confidence medical device software and systems

    I. Lee;G.J. Pappas;R. Cleaveland;J. Hatcliff

  • Efficient representation and validation of proofs

    G.C. Necula;P. Lee

  • Generational stack collection and profile-driven pretenuring

    Perry Cheng;Robert Harper;Peter Lee

  • No assembly required: compiling standard ML to C

    David Tarditi;Peter Lee;Anurag Acharya

  • Meld: A declarative approach to programming ensembles

    M.P. Ashley-Rollman;S.C. Goldstein;P. Lee;T.C. Mowry

  • Automatic numeric abstractions for heap-manipulating programs

    Stephen Magill;Ming-Hsien Tsai;Peter Lee;Yih-Kuen Tsay

  • Realistic Compiler Generation

    Peter Lee

  • Safe to execute verification of software

    George C. Necula;Peter Lee

  • Lightweight Run-Time Code Generation.

    Mark Leone;Peter Lee

  • Scalable shape sculpting via hole motion: motion planning in lattice-constrained modular robots

    M. De Rosa;S. Goldstein;P. Lee;J. Campbell

  • The logical basis of evaluation order and pattern-matching

    Frank Pfenning;Peter Lee;Noam Zeilberger

  • Signatures for a network protocol stack: a systems application of Standard ML

    Edoardo Biagioni;Robert Harper;Peter Lee;Brian G. Milnes

  • Inferring Invariants in Separation Logic for Imperative List-processing Programs

    Stephen Magill;Aleksandar Nanevski;Edmund Clarke;Peter Lee

Frequent Co-Authors

Robert Harper
Robert Harper Carnegie Mellon University
Frank Pfenning
Frank Pfenning Carnegie Mellon University
George C. Necula
George C. Necula University of California, Berkeley
Seth Copen Goldstein
Seth Copen Goldstein Carnegie Mellon University
Padmanabhan Pillai
Padmanabhan Pillai Intel (United States)
Philip Koopman
Philip Koopman Carnegie Mellon University
Perry Cheng
Perry Cheng IBM (United States)
Sagar Chaki
Sagar Chaki Siemens (United States)
Todd C. Mowry
Todd C. Mowry Carnegie Mellon University
Karl Crary
Karl Crary Carnegie Mellon University

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