World's Best Scientists 2026 revealed!
Neoklis Polyzotis

Neoklis Polyzotis

D-Index & Metrics

Computer Science

D-Index
53
Citations
8327
World Ranking
4924
National Ranking
2287

Neoklis Polyzotis 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 Neoklis Polyzotis 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.

Neoklis Polyzotis 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 Neoklis Polyzotis 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: 53 D-Index — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Overview

Neoklis Polyzotis is affiliated with Databricks in the United States and contributes to research primarily in the fields of Computer Science and Decision Sciences. Their work encompasses several key subfields such as Information Systems and Management, Artificial Intelligence, Computer Networks and Communications, Signal Processing, and Management Science and Operations Research.

The main topics Polyzotis covers include Scientific Computing and Data Management, Machine Learning and Data Classification, Distributed and Parallel Computing Systems, Data Management and Algorithms, Data Quality and Management, Data Stream Mining Techniques, and Cloud Computing and Resource Management.

Recent publications highlight a focus on machine learning engineering and data-centric AI. Notable papers include:

  • Production Machine Learning Pipelines: Empirical Analysis and Optimization Opportunities (2021) published in arXiv (Cornell University)
  • Towards ML Engineering: A Brief History Of TensorFlow Extended (TFX) (2020) published in arXiv (Cornell University)
  • Elias-Fano Compression for Space-Efficient Rank and Select Structures (2025) published in Dagstuhl Research Online Publication Server
  • What can Data-Centric AI Learn from Data and ML Engineering? (2021) published in arXiv (Cornell University)

Polyzotis frequently publishes in venues such as arXiv (Cornell University) and the Dagstuhl Research Online Publication Server.

Frequent collaborators include Doris Xin, Hui Miao, Aditya Parameswaran, Tim Kraska, and Alex Beutel, indicating research partnerships across several related domains.

Best Publications

  • The Case for Learned Index Structures

    Tim Kraska;Alex Beutel;Ed H. Chi;Jeffrey Dean

  • TFX: A TensorFlow-Based Production-Scale Machine Learning Platform

    Denis Baylor;Eric Breck;Heng-Tze Cheng;Noah Fiedel

  • CrowdScreen: algorithms for filtering data with humans

    Aditya G. Parameswaran;Hector Garcia-Molina;Hyunjung Park;Neoklis Polyzotis

  • SeeDB: efficient data-driven visualization recommendations to support visual analytics

    Manasi Vartak;Sajjadur Rahman;Samuel Madden;Aditya Parameswaran

  • Data Management Challenges in Production Machine Learning

    Neoklis Polyzotis;Sudip Roy;Steven Euijong Whang;Martin Zinkevich

  • Statistical synopses for graph-structured XML databases

    Neoklis Polyzotis;Minos Garofalakis

  • Goods: Organizing Google's Datasets

    Alon Halevy;Flip Korn;Natalya F. Noy;Christopher Olston

  • SciHadoop: array-based query processing in Hadoop

    Joe B. Buck;Noah Watkins;Jeff LeFevre;Kleoni Ioannidou

  • Query Recommendations for Interactive Database Exploration

    Gloria Chatzopoulou;Magdalini Eirinaki;Neoklis Polyzotis

  • Approximate XML query answers

    Neoklis Polyzotis;Minos Garofalakis;Yannis Ioannidis

  • Data Lifecycle Challenges in Production Machine Learning: A Survey

    Neoklis Polyzotis;Sudip Roy;Steven Euijong Whang;Martin Zinkevich

  • Human-assisted graph search: it's okay to ask questions

    Aditya Parameswaran;Anish Das Sarma;Hector Garcia-Molina;Neoklis Polyzotis

  • Answering Queries using Humans, Algorithms and Databases

    Aditya G. Parameswaran;Neoklis Polyzotis

  • Structure and value synopses for XML data graphs

    Neoklis Polyzotis;Minos Garofalakis

  • Data Validation for Machine Learning

    Eric Breck;Marty Zinkevich;Neoklis Polyzotis;Steven Whang

  • MISO: souping up big data query processing with a multistore system

    Jeff LeFevre;Jagan Sankaranarayanan;Hakan Hacigumus;Junichi Tatemura

  • Deco: declarative crowdsourcing

    Aditya Ganesh Parameswaran;Hyunjung Park;Hector Garcia-Molina;Neoklis Polyzotis

  • COLT: continuous on-line tuning

    Karl Schnaitter;Serge Abiteboul;Tova Milo;Neoklis Polyzotis

  • Supporting Streaming Updates in an Active Data Warehouse

    N. Polyzotis;S. Skiadopoulos;P. Vassiliadis;A. Simitsis

  • Max algorithms in crowdsourcing environments

    Petros Venetis;Hector Garcia-Molina;Kerui Huang;Neoklis Polyzotis

  • Machine learning on Big Data

    T. Condie;P. Mineiro;N. Polyzotis;M. Weimer

Frequent Co-Authors

Aditya Parameswaran
Aditya Parameswaran University of California, Berkeley
Hector Garcia-Molina
Hector Garcia-Molina Stanford University
Minos Garofalakis
Minos Garofalakis Technical University of Crete
Serge Abiteboul
Serge Abiteboul École Normale Supérieure
Jennifer Widom
Jennifer Widom Stanford University
Michael J. Carey
Michael J. Carey University of California, Irvine
Tova Milo
Tova Milo Tel Aviv University
Anastasia Ailamaki
Anastasia Ailamaki École Polytechnique Fédérale de Lausanne
Yannis E. Ioannidis
Yannis E. Ioannidis National and Kapodistrian University of Athens

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