World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
6571
World Ranking
12936
National Ranking
5225

Marc Brockschmidt 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 Marc Brockschmidt 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: 72 publications — 2nd percentile

2% of scientists in this discipline score the same or lower.

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

Marc Brockschmidt 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 Marc Brockschmidt 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

Marc Brockschmidt is a researcher affiliated with Google in the United States. Their work primarily focuses on computer science, with significant contributions to subfields including information systems, software, artificial intelligence, materials chemistry, and computational theory and mathematics.

Their research covers a broad range of topics such as software engineering research, software testing and debugging techniques, machine learning applications in materials science, topic modeling, natural language processing techniques, software reliability and analysis research, and protein structure and dynamics.

Marc Brockschmidt's recent publications include:

  • Self-Supervised Bug Detection and Repair, 2021, arXiv (Cornell University)
  • Learning to Extend Molecular Scaffolds with Structural Motifs, 2021, arXiv (Cornell University)
  • Copy That! Editing Sequences by Copying Spans, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • Timewarp: Transferable Acceleration of Molecular Dynamics by Learning Time-Coarsened Dynamics, 2023, arXiv (Cornell University)
  • Learning to Complete Code with Sketches, 2021, arXiv (Cornell University)

Frequently publishing in venues such as arXiv (Cornell University), Proceedings of the AAAI Conference on Artificial Intelligence, and ACM Transactions on Programming Languages and Systems, they have contributed at least seven works to arXiv alone.

Marc Brockschmidt has collaborated regularly with several researchers, including:

  • Miltiadis Allamanis
  • Sheena Panthaplackel
  • Henry Jackson-Flux
  • Krzysztof Maziarz
  • Pashmina Cameron

Best Publications

  • Gated Graph Sequence Neural Networks.

    Yujia Li;Daniel Tarlow;Marc Brockschmidt;Richard S. Zemel

  • Learning to Represent Programs with Graphs

    Miltiadis Allamanis;Marc Brockschmidt;Mahmoud Khademi

  • DeepCoder: Learning to Write Programs

    Matej Balog;Alexander L. Gaunt;Marc Brockschmidt;Sebastian Nowozin

  • Constrained Graph Variational Autoencoders for Molecule Design

    Qi Liu;Miltiadis Allamanis;Marc Brockschmidt;Alexander L. Gaunt

  • CodeSearchNet Challenge: Evaluating the State of Semantic Code Search.

    Hamel Husain;Ho-Hsiang Wu;Tiferet Gazit;Miltiadis Allamanis

  • Structured Neural Summarization

    Patrick Fernandes;Miltiadis Allamanis;Marc Brockschmidt

  • Analyzing Program Termination and Complexity Automatically with AProVE

    Jürgen Giesl;Cornelius Aschermann;Marc Brockschmidt;Fabian Emmes

  • TerpreT: A Probabilistic Programming Language for Program Induction

    Alexander L. Gaunt;Marc Brockschmidt;Rishabh Singh;Nate Kushman

  • Proving Termination of Programs Automatically with AProVE

    Jürgen Giesl;Marc Brockschmidt;Fabian Emmes;Florian Frohn

  • Generative Code Modeling with Graphs.

    Marc Brockschmidt;Miltiadis Allamanis;Alexander L. Gaunt;Oleksandr Polozov

  • Better termination proving through cooperation

    Marc Brockschmidt;Byron Cook;Carsten Fuhs

  • Analyzing Runtime and Size Complexity of Integer Programs

    Marc Brockschmidt;Fabian Emmes;Stephan Falke;Carsten Fuhs

  • Automated Termination Analysis of Java Bytecode by Term Rewriting

    Carsten Otto;Marc Brockschmidt;Christian von Essen;Jürgen Giesl

  • Alternating runtime and size complexity analysis of integer programs

    Marc Brockschmidt;Fabian Emmes;Stephan Falke;Carsten Fuhs

  • Analyzing Information Leakage of Updates to Natural Language Models

    Santiago Zanella-Béguelin;Lukas Wutschitz;Shruti Tople;Victor Rühle

  • Robust Text-to-SQL Generation with Execution-Guided Decoding

    Chenglong Wang;Kedar Tatwawadi;Marc Brockschmidt;Po-Sen Huang

  • Learning to Represent Edits.

    Pengcheng Yin;Graham Neubig;Miltiadis Allamanis;Marc Brockschmidt

  • T2: Temporal Property Verification

    Marc Brockschmidt;Byron Cook;Samin Ishtiaq;Heidy Khlaaf

  • Automated detection of non-termination and nullpointerexceptions for Java Bytecode

    Marc Brockschmidt;Thomas Ströder;Carsten Otto;Jürgen Giesl

  • GNN-FiLM: Graph Neural Networks with Feature-wise Linear Modulation

    Marc Brockschmidt

  • Graph Partition Neural Networks for Semi-Supervised Classification

    Renjie Liao;Marc Brockschmidt;Daniel Tarlow;Alexander L. Gaunt

  • Program Synthesis and Semantic Parsing with Learned Code Idioms

    Richard Shin;Miltiadis Allamanis;Marc Brockschmidt;Oleksandr Polozov

  • Summary - TerpreT: A Probabilistic Programming Language for Program Induction

    Alexander L. Gaunt;Marc Brockschmidt;Rishabh Singh;Nate Kushman

Frequent Co-Authors

Jürgen Giesl
Jürgen Giesl RWTH Aachen University
Rishabh Singh
Rishabh Singh Google (United States)
Byron Cook
Byron Cook Amazon (United States)
Pushmeet Kohli
Pushmeet Kohli DeepMind (United Kingdom)
Richard S. Zemel
Richard S. Zemel University of Toronto
Andrey Rybalchenko
Andrey Rybalchenko Microsoft (United States)
Sebastian Nowozin
Sebastian Nowozin Microsoft (United States)
Graham Neubig
Graham Neubig Carnegie Mellon University
Nir Piterman
Nir Piterman University of Gothenburg
Raquel Urtasun
Raquel Urtasun University of Toronto

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