World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
8840
World Ranking
6499
National Ranking
2882

Todd Millstein 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 Todd Millstein 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: 133 publications — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Todd Millstein 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 Todd Millstein 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: 47 D-Index — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Overview

Todd Millstein is affiliated with the University of California, Los Angeles in the United States. Their research spans multiple areas within computer science, with a focus on formal methods, software testing, and machine learning.

Their main field of study is Computer Science, with 47 publications in this discipline. Within this broad domain, Millstein's work is concentrated in several subfields including:

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Software
  • Hardware and Architecture
  • Computer Networks and Communications

Todd Millstein's research addresses a variety of topics, notably:

  • Formal Methods in Verification
  • Software Testing and Debugging Techniques
  • Bayesian Modeling and Causal Inference
  • Logic, Programming, and Type Systems
  • Logic, Reasoning, and Knowledge
  • Machine Learning and Algorithms
  • Adversarial Robustness in Machine Learning

Their recent publications highlight a range of contributions to programming languages and formal verification including:

  • Counterexample-Guided Learning of Monotonic Neural Networks, 2020, arXiv (Cornell University)
  • Bit Blasting Probabilistic Programs, 2024, Proceedings of the ACM on Programming Languages
  • Data-driven lemma synthesis for interactive proofs, 2022, Proceedings of the ACM on Programming Languages
  • Safe-by-default Concurrency for Modern Programming Languages, 2021, ACM Transactions on Programming Languages and Systems
  • LIGHTYEAR: Using Modularity to Scale BGP Control Plane Verification, 2022, arXiv (Cornell University)

Millstein has collaborated with a number of researchers frequently, including:

  • Guy Van den Broeck
  • Steven Holtzen
  • Poorva Garg
  • Aishwarya Sivaraman
  • Ryan Beckett

Their work has been disseminated in key venues such as:

  • arXiv (Cornell University)
  • Proceedings of the ACM on Programming Languages
  • Zenodo (CERN European Organization for Nuclear Research)
  • ACM Transactions on Programming Languages and Systems
  • Lecture Notes in Computer Science

Best Publications

  • Automatic predicate abstraction of C programs

    Thomas Ball;Rupak Majumdar;Todd Millstein;Sriram K. Rajamani

  • Navigational plans for data integration

    Marc Friedman;Alon Levy;Todd Millstein

  • MultiJava: modular open classes and symmetric multiple dispatch for Java

    Curtis Clifton;Gary T. Leavens;Craig Chambers;Todd Millstein

  • RERAN: timing- and touch-sensitive record and replay for Android

    Lorenzo Gomez;Iulian Neamtiu;Tanzirul Azim;Todd Millstein

  • A framework for implementing pluggable type systems

    Chris Andreae;James Noble;Shane Markstrum;Todd Millstein

  • Dr. Android and Mr. Hide: fine-grained permissions in android applications

    Jinseong Jeon;Kristopher K. Micinski;Jeffrey A. Vaughan;Ari Fogel

  • Automatic SAT-compilation of planning problems

    Michael D. Ernst;Todd D. Millstein;Daniel S. Weld

  • A general approach to network configuration analysis

    Ari Fogel;Stanley Fung;Luis Pedrosa;Meg Walraed-Sullivan

  • Efficient network reachability analysis using a succinct control plane representation

    Seyed K. Fayaz;Tushar Sharma;Ari Fogel;Ratul Mahajan

  • Automatically proving the correctness of compiler optimizations

    Sorin Lerner;Todd Millstein;Craig Chambers

  • Automated soundness proofs for dataflow analyses and transformations via local rules

    Sorin Lerner;Todd Millstein;Erika Rice;Craig Chambers

  • Don't Mind the Gap: Bridging Network-wide Objectives and Device-level Configurations

    Ryan Beckett;Ratul Mahajan;Todd Millstein;Jitendra Padhye

  • Modular Statically Typed Multimethods

    Todd D. Millstein;Craig Chambers

  • Reliable and efficient programming abstractions for wireless sensor networks

    Nupur Kothari;Ramakrishna Gummadi;Todd Millstein;Ramesh Govindan

  • Titian: data provenance support in Spark

    Matteo Interlandi;Kshitij Shah;Sai Deep Tetali;Muhammad Ali Gulzar

  • MultiJava: Design rationale, compiler implementation, and applications

    Curtis Clifton;Todd Millstein;Gary T. Leavens;Craig Chambers

  • Automated repair of HTML generation errors in PHP applications using string constraint solving

    Hesam Samimi;Max Schafer;Shay Artzi;Todd Millstein

  • Data-driven precondition inference with learned features

    Saswat Padhi;Rahul Sharma;Todd Millstein

  • Query containment for data integration systems

    Todd Millstein;Alon Halevy;Marc Friedman

  • Generating error traces from verification-condition counterexamples

    K. Rustan M. Leino;Todd Millstein;James B. Saxe

  • Automatic predicate abstraction of C programs

    Unknown

Frequent Co-Authors

Guy Van den Broeck
Guy Van den Broeck University of California, Los Angeles
Craig Chambers
Craig Chambers Google (United States)
Madanlal Musuvathi
Madanlal Musuvathi Microsoft (United States)
Ramesh Govindan
Ramesh Govindan University of Southern California
Ratul Mahajan
Ratul Mahajan University of Washington
Satish Narayanasamy
Satish Narayanasamy University of Michigan–Ann Arbor
Rupak Majumdar
Rupak Majumdar Max Planck Institute for Software Systems
David Walker
David Walker Princeton University
Jens Palsberg
Jens Palsberg University of California, Los Angeles
Miryung Kim
Miryung Kim University of California, Los Angeles

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