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Neoklis Polyzotis

Neoklis Polyzotis

Databricks
United States

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 53 4924 4788 2287 2208 127 8327

Neoklis Polyzotis publications per year

The chart shows the history of publications by Neoklis Polyzotis between 1999 and 2021, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Neoklis Polyzotis published across 23 years, from 1999 to 2021, averaging 5.5 papers a year. Output peaked at 18 publications in 2009. 7 of the 127 publications appeared in the last two years.

No. of publications
5 10 15
Bar chart. Horizontal axis: year, 1999 to 2021. Vertical axis: number of publications, 0 to 18. Peak 18 publications in 2009. 1999: 1 publication 2000: 0 publications 2001: 0 publications 2002: 2 publications 2003: 1 publication 2004: 3 publications 2005: 2 publications 2006: 7 publications 2007: 8 publications 2008: 11 publications 2009: 18 publications 2010: 8 publications 2011: 13 publications 2012: 11 publications 2013: 13 publications 2014: 5 publications 2015: 4 publications 2016: 2 publications 2017: 3 publications 2018: 2 publications 2019: 6 publications 2020: 5 publications 2021: 2 publications
1999 2021

127 publications in total across all disciplines

View publications per year as a table
Neoklis Polyzotis: publications per year, 1999 to 2021
Year Publications
1999 1
2000 0
2001 0
2002 2
2003 1
2004 3
2005 2
2006 7
2007 8
2008 11
2009 18
2010 8
2011 13
2012 11
2013 13
2014 5
2015 4
2016 2
2017 3
2018 2
2019 6
2020 5
2021 2
Total 127
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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.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 122–131 publications, is where this scientist sits. 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
32–41 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.

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544 127
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

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.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 52–53 D-Index, is where this scientist sits. 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
30–31 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.

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518 53
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

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
Tim Kraska
Tim Kraska MIT
Anastasia Ailamaki
Anastasia Ailamaki École Polytechnique Fédérale de Lausanne
Yannis E. Ioannidis
Yannis E. Ioannidis National and Kapodistrian University of Athens

External Links

Personal website of Neoklis Polyzotis Google Scholar page

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Best Scientists Citing Neoklis Polyzotis

Tim Kraska

Tim Kraska

MIT

Publications: 57

Aditya Parameswaran

Aditya Parameswaran

University of California, Berkeley

Publications: 44

Ioana Manolescu

Ioana Manolescu

French Institute for Research in Computer Science and Automation - INRIA

Publications: 38

Lei Chen

Lei Chen

Hong Kong University of Science and Technology

Publications: 36

Tova Milo

Tova Milo

Tel Aviv University

Publications: 34

Samuel Madden

Samuel Madden

MIT

Publications: 24

Stratos Idreos

Stratos Idreos

Harvard University

Publications: 24

Anastasia Ailamaki

Anastasia Ailamaki

École Polytechnique Fédérale de Lausanne

Publications: 23

Hector Garcia-Molina

Hector Garcia-Molina

Stanford University

Publications: 21

Donald Kossmann

Donald Kossmann

Microsoft (United States)

Publications: 21

Michael J. Franklin

Michael J. Franklin

University of Chicago

Publications: 21

Gautam Das

Gautam Das

The University of Texas at Arlington

Publications: 20

Anand Srinivasan

Anand Srinivasan

Business International Corporation

Publications: 20

Michael Stonebraker

Michael Stonebraker

MIT

Publications: 19

Wolfgang Lehner

Wolfgang Lehner

TU Dresden

Publications: 19

Eugene Wu

Eugene Wu

Columbia University

Publications: 18

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