World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
55
Citations
17896
World Ranking
4211
National Ranking
1987

Yannis Papakonstantinou 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 Yannis Papakonstantinou 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: 167 publications — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Yannis Papakonstantinou 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 Yannis Papakonstantinou 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: 55 D-Index — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Overview

Yannis Papakonstantinou is affiliated with the University of California, San Diego in the United States. Their research contributions primarily fall within the field of Computer Science, with a focus on various subfields and topics.

The main fields of study for Yannis Papakonstantinou include:

  • Computer Science

Within this broad area, their subfields of study are detailed as:

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Computer Networks and Communications
  • Information Systems
  • Artificial Intelligence

Their research spans several main topics, including:

  • Data Management and Algorithms
  • Explainable Artificial Intelligence (XAI)
  • Advanced Neural Network Applications
  • Advanced Database Systems and Queries
  • Advanced Image and Video Retrieval Techniques
  • Scientific Computing and Data Management
  • Adversarial Robustness in Machine Learning

Yannis Papakonstantinou has published multiple research papers in various conferences and journals. Frequent publication venues include:

  • ACM SIGMOD Record
  • Proceedings of the ACM on Management of Data
  • arXiv (Cornell University)
  • ACM Transactions on Database Systems
  • Proceedings of the VLDB Endowment

Notable recent publications are:

  • "Incremental and Approximate Computations for Accelerating Deep CNN Inference" (2020), ACM Transactions on Database Systems
  • "Plato" (2020), Proceedings of the VLDB Endowment
  • "Index-based, High-dimensional, Cosine Threshold Querying with Optimality Guarantees" (2020), Theory of Computing Systems
  • "Foreign Keys Open the Door for Faster Incremental View Maintenance" (2023), Proceedings of the ACM on Management of Data
  • "Query Optimization for Faster Deep CNN Explanations" (2020), ACM SIGMOD Record

Frequent co-authors collaborating with Yannis Papakonstantinou include:

  • Supun Nakandala
  • Arun Kumar
  • Jinyang Li
  • Xiaolong Li
  • Per Jacobsson

Best Publications

  • The TSIMMIS project: Integration of heterogeneous information sources

    Sudarshan S. Chawathe;Hector Garcia-Molina;Joachim Hammer;Kelly Ireland

  • Big data and its technical challenges

    H. V. Jagadish;Johannes Gehrke;Alexandros Labrinidis;Yannis Papakonstantinou

  • Object exchange across heterogeneous information sources

    Y. Papakonstantinou;H. Garcia-Molina;J. Widom

  • The TSIMMIS Approach to Mediation: Data Models and Languages

    Hector Garcia-Molina;Yannis Papakonstantinou;Dallan Quass;Anand Rajaraman

  • Discover: keyword search in relational databases

    Vagelis Hristidis;Yannis Papakonstantinou

  • Efficient IR-style keyword search over relational databases

    Vagelis Hristidis;Luis Gravano;Yannis Papakonstantinou

  • Efficient keyword search for smallest LCAs in XML databases

    Yu Xu;Yannis Papakonstantinou

  • Objectrank: authority-based keyword search in databases

    Andrey Balmin;Vagelis Hristidis;Yannis Papakonstantinou

  • Query caching and optimization in distributed mediator systems

    S. Adali;K. S. Candan;Y. Papakonstantinou;V. S. Subrahmanian

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

    Vagelis Hristidis;Nick Koudas;Yannis Papakonstantinou

  • Keyword proximity search on XML graphs

    V. Hristidis;Y. Papakonstantinou;A. Balmin

  • XML-based information mediation with MIX

    Chaitan Baru;Amarnath Gupta;Bertram Ludäscher;Richard Marciano

  • Object Fusion in Mediator Systems

    Yannis Papakonstantinou;Serge Abiteboul;Hector Garcia-Molina

  • Integrating and Accessing Heterogeneous Information Sources in TSIMMIS

    Hector Garcia-Molina;Joachim Hammer;Kelly Ireland;Yannis Papakonstantinou

  • DTD inference for views of XML data

    Yannis Papakonstantinou;Victor Vianu

  • MedMaker: a mediation system based on declarative specifications

    Y. Papakonstantinou;H. Garcia-Molina;J. Ullman

  • Plato: approximate analytics over compressed time series with tight deterministic error guarantees

    Chunbin Lin;Etienne Boursier;Yannis Papakonstantinou

  • A Query Translation Scheme for Rapid Implementation of Wrappers

    Yannis Papakonstantinou;Ashish Gupta;Hector Garcia-Molina;Jeffrey D. Ullman

  • Keyword proximity search in XML trees

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

  • A transducer-based XML query processor

    Bertram Ludäscher;Pratik Mukhopadhyay;Yannis Papakonstantinou

  • Query rewriting for semistructured data

    Yannis Papakonstantinou;Vasilis Vassalos

Frequent Co-Authors

Alin Deutsch
Alin Deutsch University of California, San Diego
Hector Garcia-Molina
Hector Garcia-Molina Stanford University
Vagelis Hristidis
Vagelis Hristidis University of California, Riverside
Ioana Manolescu
Ioana Manolescu French Institute for Research in Computer Science and Automation - INRIA
Steven Swanson
Steven Swanson University of California, San Diego
Jeffrey D. Ullman
Jeffrey D. Ullman Stanford University
Bertram Ludäscher
Bertram Ludäscher University of Illinois at Urbana-Champaign
Jennifer Widom
Jennifer Widom Stanford University
Victor Vianu
Victor Vianu University of California, San Diego
Serge Abiteboul
Serge Abiteboul École Normale Supérieure

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