World's Best Scientists 2026 revealed!
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Computer Science
Canada
2025

D-Index & Metrics

Computer Science

D-Index
68
Citations
19087
World Ranking
2080
National Ranking
79

Nick Koudas 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 Nick Koudas 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: 211 publications — 50th percentile

50% of scientists in this discipline score the same or lower.

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

Nick Koudas 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 Nick Koudas 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: 68 D-Index — 86th percentile

86% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2025 - Research.com Computer Science in Canada Leader Award
  • 2023 - Research.com Computer Science in Canada Leader Award
  • 2022 - Research.com Computer Science in Canada Leader Award

Overview

Nick Koudas is affiliated with the University of Toronto in Canada. Their research primarily spans the field of Computer Science, with a focus on several specialized subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Computer Networks and Communications, and Management Science and Operations Research.

The scientist's published work covers a range of topics centered on data management, algorithmic innovation, and multimedia content analysis. Key research areas include:

  • Topic Modeling
  • Advanced Image and Video Retrieval Techniques
  • Data Management and Algorithms
  • Data Quality and Management
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Video Analysis and Summarization

Nick Koudas has contributed to multiple research publications, with frequent appearances in well-known venues such as:

  • arXiv (Cornell University)
  • Proceedings of the VLDB Endowment
  • Proceedings of the ACM on Management of Data
  • 2022 IEEE 38th International Conference on Data Engineering (ICDE)
  • IEEE Transactions on Knowledge and Data Engineering

Recent papers authored or co-authored by them include:

  • "Astrid," 2020, Proceedings of the VLDB Endowment
  • "Effective Explanations for Entity Resolution Models," 2022, 2022 IEEE 38th International Conference on Data Engineering (ICDE)
  • "Spatial and temporal constrained ranked retrieval over videos," 2022, Proceedings of the VLDB Endowment
  • "Ranked Window Query Retrieval over Video Repositories," 2022, 2022 IEEE 38th International Conference on Data Engineering (ICDE)
  • "A Distributed Solution for Efficient K Shortest Paths Computation Over Dynamic Road Networks," 2024, IEEE Transactions on Knowledge and Data Engineering

Collaboration is a notable aspect of Nick Koudas's academic output. Frequent co-authors include:

  • Xiaohui Yu
  • Yueting Chen
  • Naiqing Guan
  • Kaiwen Chen
  • Gautam Das

Best Publications

  • Holistic twig joins: optimal XML pattern matching

    Nicolas Bruno;Nick Koudas;Divesh Srivastava

  • Structural joins: a primitive for efficient XML query pattern matching

    S. Al-Khalifa;H.V. Jagadish;N. Koudas;J.M. Patel

  • TwitterMonitor: trend detection over the twitter stream

    Michael Mathioudakis;Nick Koudas

  • Approximate String Joins in a Database (Almost) for Free

    Luis Gravano;Panagiotis G. Ipeirotis;H. V. Jagadish;Nick Koudas

  • Optimal Histograms with Quality Guarantees

    H. V. Jagadish;Nick Koudas;S. Muthukrishnan;Viswanath Poosala

  • Aggregate Query Answering on Anonymized Tables

    Qing Zhang;N. Koudas;D. Srivastava;Ting Yu

  • Monitoring k-nearest neighbor queries over moving objects

    X. Yu;K.Q. Pu;N. Koudas

  • PREFER: a system for the efficient execution of multi-parametric ranked queries

    Vagelis Hristidis;Nick Koudas;Yannis Papakonstantinou

  • Data-streams and histograms

    Sudipto Guha;Nick Koudas;Kyuseok Shim

  • Record linkage: similarity measures and algorithms

    Nick Koudas;Sunita Sarawagi;Divesh Srivastava

  • MRShare: sharing across multiple queries in MapReduce

    Tomasz Nykiel;Michalis Potamias;Chaitanya Mishra;George Kollios

  • Text joins in an RDBMS for web data integration

    Luis Gravano;Panagiotis G. Ipeirotis;Nick Koudas;Divesh Srivastava

  • Dynamic multidimensional histograms

    Nitin Thaper;Sudipto Guha;Piotr Indyk;Nick Koudas

  • Efficient biased sampling for approximate clustering and outlier detection in large data sets

    G. Kollios;D. Gunopulos;N. Koudas;S. Berchtold

  • Identifying Representative Trends in Massive Time Series Data Sets Using Sketches

    Piotr Indyk;Nick Koudas;S. Muthukrishnan

  • Keyword proximity search in XML trees

    V. Hristidis;N. Koudas;Y. Papakonstantinou;Divesh Srivastava

  • Non-linear dimensionality reduction techniques for classification and visualization

    Michail Vlachos;Carlotta Domeniconi;Dimitrios Gunopulos;George Kollios

  • The design of a query monitoring system

    Chaitanya Mishra;Nick Koudas

  • Method and system for information discovery and text analysis

    Nick Koudas;Nilesh Bansal

  • Answering top-k queries using views

    Gautam Das;Dimitrios Gunopulos;Nick Koudas;Dimitris Tsirogiannis

Frequent Co-Authors

Divesh Srivastava
Divesh Srivastava AT&T (United States)
Gautam Das
Gautam Das The University of Texas at Arlington
Dimitrios Gunopulos
Dimitrios Gunopulos National and Kapodistrian University of Athens
Sudipto Guha
Sudipto Guha University of Pennsylvania
Subbaratnam Muthukrishnan
Subbaratnam Muthukrishnan Kansas State University
Hosagrahar V. Jagadish
Hosagrahar V. Jagadish University of Michigan–Ann Arbor
Beng Chin Ooi
Beng Chin Ooi National University of Singapore
Vagelis Hristidis
Vagelis Hristidis University of California, Riverside
Anthony K. H. Tung
Anthony K. H. Tung National University of Singapore
Vassilis J. Tsotras
Vassilis J. Tsotras University of California, Riverside

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