World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
10392
World Ranking
7106
National Ranking
3117

Petros Maniatis 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 Petros Maniatis 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: 99 publications — 8th percentile

8% of scientists in this discipline score the same or lower.

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

Petros Maniatis 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 Petros Maniatis 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

Petros Maniatis is affiliated with Google in the United States and works primarily within the field of Computer Science. Their research spans several subfields including Artificial Intelligence, Information Systems, Software, Computer Networks and Communications, and Materials Chemistry.

The scientist's work covers multiple topics such as Software Engineering Research, Spreadsheets and End-User Computing, Software Testing and Debugging Techniques, Adversarial Robustness in Machine Learning, Machine Learning and Algorithms, Machine Learning in Materials Science, and Security and Verification in Computing.

Petros Maniatis has contributed to various publications, with frequent appearances in venues like arXiv (Cornell University) and ACM SIGOPS Operating Systems Review.

  • SpreadsheetCoder: Formula Prediction from Semi-structured Context, 2021, arXiv (Cornell University)
  • Neural Program Synthesis with a Differentiable Fixer, 2020, arXiv (Cornell University)
  • A Library for Representing Python Programs as Graphs for Machine Learning, 2022, arXiv (Cornell University)
  • überSpark, 2020, ACM SIGOPS Operating Systems Review
  • CodeQueries: A Dataset of Semantic Queries over Code, 2022, arXiv (Cornell University)

They have collaborated with several frequent co-authors including Charles Sutton, Rishabh Singh, Xinyun Chen, Hanjun Dai, and Max S. Lin. Among these, Charles Sutton appears as a co-author in three publications, while Rishabh Singh has co-authored two papers with Maniatis.

Best Publications

  • CloneCloud: elastic execution between mobile device and cloud

    Byung-Gon Chun;Sunghwan Ihm;Petros Maniatis;Mayur Naik

  • Augmented smartphone applications through clone cloud execution

    Byung-Gon Chun;Petros Maniatis

  • Implementing declarative overlays

    Boon Thau Loo;Tyson Condie;Joseph M. Hellerstein;Petros Maniatis

  • Prochlo: Strong Privacy for Analytics in the Crowd

    Andrea Bittau;Úlfar Erlingsson;Petros Maniatis;Ilya Mironov

  • Declarative networking: language, execution and optimization

    Boon Thau Loo;Tyson Condie;Minos Garofalakis

  • Attested append-only memory: making adversaries stick to their word

    Byung-Gon Chun;Petros Maniatis;Scott Shenker;John Kubiatowicz

  • The LOCKSS peer-to-peer digital preservation system

    Petros Maniatis;Mema Roussopoulos;T. J. Giuli;David S. H. Rosenthal

  • The Architecture of PIER: an Internet-Scale Query Processor

    Ryan Huebsch;Brent N. Chun;Joseph M. Hellerstein;Boon Thau Loo

  • The Performance Cost of Shadow Stacks and Stack Canaries

    Thurston H.Y. Dang;Petros Maniatis;David Wagner

  • Peer-to-Peer Caching Schemes to Address Flash Crowds

    Tyron Stading;Petros Maniatis;Mary Baker

  • Declarative Networking

    Boon Thau Loo;Tyson Condie;Minos Garofalakis

  • A fresh look at the reliability of long-term digital storage

    Mary Baker;Mehul Shah;David S. H. Rosenthal;Mema Roussopoulos

  • Dynamically partitioning applications between weak devices and clouds

    Byung-Gon Chun;Petros Maniatis

  • Friday: global comprehension for distributed replay

    Dennis Geels;Gautam Altekar;Petros Maniatis;Timothy Roscoe

  • Preserving peer replicas by rate-limited sampled voting

    Petros Maniatis;David S. H. Rosenthal;Mema Roussopoulos;Mary Baker

  • The mobile people architecture

    Petros Maniatis;Mema Roussopoulos;Ed Swierk;Kevin Lai

  • Learning and Evaluating Contextual Embedding of Source Code

    Aditya Kanade;Petros Maniatis;Gogul Balakrishnan;Kensen Shi

  • Predicting Execution Time of Computer Programs Using Sparse Polynomial Regression

    Ling Huang;Jinzhu Jia;Bin Yu;Byung-gon Chun

  • Not-a-Bot: improving service availability in the face of botnet attacks

    Ramakrishna Gummadi;Hari Balakrishnan;Petros Maniatis;Sylvia Ratnasamy

  • BFT protocols under fire

    Atul Singh;Tathagata Das;Petros Maniatis;Peter Druschel

  • Global Relational Models of Source Code

    Vincent J. Hellendoorn;Charles Sutton;Rishabh Singh;Petros Maniatis

  • Verification with small and short worlds

    Rohit Sinha;Cynthia Sturton;Petros Maniatis;Sanjit A. Seshia

Frequent Co-Authors

Mary Baker
Mary Baker Hewlett-Packard (United States)
Byung-Gon Chun
Byung-Gon Chun Seoul National University
Joseph M. Hellerstein
Joseph M. Hellerstein University of California, Berkeley
Timothy Roscoe
Timothy Roscoe ETH Zurich
Mayur Naik
Mayur Naik University of Pennsylvania
Minos Garofalakis
Minos Garofalakis Technical University of Crete
Boon Thau Loo
Boon Thau Loo University of Pennsylvania
Scott Shenker
Scott Shenker University of California, Berkeley
Ion Stoica
Ion Stoica University of California, Berkeley
Ling Huang
Ling Huang Intel (United States)

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Studying Computer Science in the USA opens up a variety of related academic and career options, many of which can be pursued online for greater flexibility and affordability. For those seeking cost-effective advanced education, you can explore inexpensive masters degrees in fields such as data science, cybersecurity, or software engineering.

If you are interested in leadership roles or academia, earning an online phd in leadership or an online ed can further your expertise and career prospects. These programs are especially suitable for professionals aiming for executive positions or teaching at the university level.

Additionally, fast-track options such as obtaining your associate degree in 6 months online provide a quick entry point into the tech industry and can serve as a foundation for further study.

Exploring these online pathways allows students to balance education, work, and personal commitments while moving forward in their chosen field.

Best Scientists Citing Petros Maniatis

Trending Scientists

Recently Published Articles