World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
10141
World Ranking
9551
National Ranking
4050

David Ungar 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 David Ungar 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: 127 publications — 17th percentile

17% of scientists in this discipline score the same or lower.

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

David Ungar 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 David Ungar 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: 39 D-Index — 33rd percentile

33% 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

  • 2010 - ACM Fellow For contributions to the design and implementation of object-oriented programming languages
  • 2006 - ACM Distinguished Member

Overview

David Ungar is affiliated with Apple in the United States and has contributed to the field of medicine, particularly oncology. Their research work predominantly covers areas such as CAR-T cell therapy research, lymphoma diagnosis and treatment, monoclonal and polyclonal antibodies research, HER2/EGFR in cancer research, viral infectious diseases and gene expression in insects, chronic lymphocytic leukemia research, and toxin mechanisms and immunotoxins.

Ungar's publication record includes recent work focused on treatments for relapsed or refractory diffuse large B-cell lymphoma (DLBCL). Notable papers include:

  • Phase 3 randomized study of loncastuximab tesirine in combination with rituximab (Lonca-R) versus immunochemotherapy in patients with R/R DLBCL (LOTIS-5), 2022, Journal of Clinical Oncology
  • Long-term survival projections of loncastuximab tesirine-treated patients in relapsed or refractory (R/R) diffuse large B-cell lymphoma (DLBCL), 2022, Journal of Clinical Oncology
  • ABCL-334 Long-Term Survival Projections of Loncastuximab Tesirine-Treated Patients in Relapsed or Refractory Diffuse Large B-Cell Lymphoma, 2022, Clinical Lymphoma Myeloma & Leukemia
  • Poster: ABCL-334 Long-Term Survival Projections of Loncastuximab Tesirine-Treated Patients in Relapsed or Refractory Diffuse Large B-Cell Lymphoma, 2022, Clinical Lymphoma Myeloma & Leukemia

Ungar frequently collaborates with several researchers, including Mehdi Hamadani, Carmelo Carlo-Stella, Christopher N. Graham, Laura Liao, and Kate Zhang, indicating a tendency towards interdisciplinary research partnerships.

The primary venues for Ungar's publications are the Journal of Clinical Oncology and Clinical Lymphoma Myeloma & Leukemia, reflecting a focus on clinical and translational oncology research.

Ungar's recognized fields of study encompass oncology, pathology and forensic medicine, radiology, nuclear medicine and imaging, molecular biology, and genetics. The variety of subfields indicates a broad expertise in medical science and cancer research.

Awards received by Ungar include the ACM Fellow honor in 2010 for contributions to the design and implementation of object-oriented programming languages, and the status of ACM Distinguished Member awarded in 2006.

Best Publications

  • Self: The power of simplicity

    David Ungar;Randall B. Smith

  • Generation Scavenging: A non-disruptive high performance storage reclamation algorithm

    David Ungar

  • Generation Scavenging: A non-disruptive high performance storage reclamation algorithm

    Unknown

  • Optimizing Dynamically-Typed Object-Oriented Languages With Polymorphic Inline Caches

    Urs Hölzle;Craig Chambers;David Ungar

  • An efficient implementation of SELF a dynamically-typed object-oriented language based on prototypes

    C. Chambers;D. Ungar;E. Lee

  • Debugging optimized code with dynamic deoptimization

    Urs Hölzle;Craig Chambers;David Ungar

  • Optimizing dynamically-dispatched calls with run-time type feedback

    Urs Hölzle;David Ungar

  • Animation: from cartoons to the user interface

    Bay-Wei Chang;David Ungar

  • The design and evaluation of a high performance Smalltalk system

    David Michael Ungar

  • Mirrors: design principles for meta-level facilities of object-oriented programming languages

    Gilad Bracha;David Ungar

  • Making pure object-oriented languages practical

    Craig Chambers;David Ungar

  • Customization: optimizing compiler technology for SELF, a dynamically-typed object-oriented programming language

    C. Chambers;D. Ungar

  • Organizing programs without classes

    David Ungar;Craig Chambers;Bay-Wei Chang;Urs Hölzle

  • Iterative type analysis and extended message splitting; optimizing dynamically-typed object-oriented programs

    Craig Chambers;David Ungar

  • Architecture of SOAR: Smalltalk on a RISC

    David Ungar;Ricki Blau;Peter Foley;Dain Samples

  • Tenuring policies for generation-based storage reclamation

    David Ungar;Frank Jackson

  • A third-generation SELF implementation: reconciling responsiveness with performance

    Urs Hölzle;David Ungar

  • Method and apparatus of translating and executing native code in a virtual machine environment

    David Ungar

  • Reconciling responsiveness with performance in pure object-oriented languages

    Urs Hölzle;David Ungar

  • Method and apparatus for optimizing exact garbage collection using a bifurcated data structure

    Mario I. Wolczko;David M. Ungar

  • Programming as an Experience: The Inspiration for Self

    Randall B. Smith;David Ungar

Frequent Co-Authors

Craig Chambers
Craig Chambers Google (United States)
Urs Hölzle
Urs Hölzle Google (United States)
James R. Kraemer
James R. Kraemer IBM (United States)
Robert R. Friedlander
Robert R. Friedlander IBM (United States)
David A. Patterson
David A. Patterson University of California, Berkeley
Mark N. Wegman
Mark N. Wegman IBM (United States)
Edward A. Lee
Edward A. Lee University of California, Berkeley
David Grove
David Grove IBM (United States)

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