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Computer Science
Netherlands
2025

D-Index & Metrics

Computer Science

D-Index
57
Citations
13247
World Ranking
3833
National Ranking
44

Peter Boncz 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 Peter Boncz 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: 277 publications — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Peter Boncz 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 Peter Boncz 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: 57 D-Index — 74th percentile

74% 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 Netherlands Leader Award
  • 2022 - Research.com Computer Science in Netherlands Leader Award

Overview

Peter Boncz is affiliated with the Centrum Wiskunde & Informatica in the Netherlands. Their research centers on fields within computer science, with a considerable focus on topics related to database systems, data management, and graph algorithms.

Their notable recent publications include:

  • Delta lake, 2020, Proceedings of the VLDB Endowment
  • The future is big graphs, 2021, Communications of the ACM
  • The Seattle Report on Database Research, 2020, ACM SIGMOD Record
  • Teseo and the analysis of structural dynamic graphs, 2021, Proceedings of the VLDB Endowment
  • The LDBC Social Network Benchmark, 2022, Proceedings of the VLDB Endowment

Peter Boncz frequently collaborates with various co-authors. The most frequent co-authors are:

  • Gábor Szárnyas
  • Thomas Neumann
  • Jack Waudby
  • Alexandru Iosup
  • Alexandru Uta

The scientist regularly publishes in the following venues:

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

Within the domain of computer science, their work spans multiple subfields including:

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

Peter Boncz's main topics of research activity cover:

  • Advanced Database Systems and Queries
  • Advanced Data Storage Technologies
  • Graph Theory and Algorithms
  • Data Management and Algorithms
  • Semantic Web and Ontologies
  • Cloud Computing and Resource Management
  • Algorithms and Data Compression

Best Publications

  • MonetDB/X100: Hyper-Pipelining Query Execution

    Peter A. Boncz;Marcin Zukowski;Niels Nes

  • How good are query optimizers, really?

    Viktor Leis;Andrey Gubichev;Atanas Mirchev;Peter Boncz

  • Super-Scalar RAM-CPU Cache Compression

    M. Zukowski;S. Heman;N. Nes;P. Boncz

  • Database Architecture Optimized for the New Bottleneck: Memory Access

    Peter A. Boncz;Stefan Manegold;Martin L. Kersten

  • MonetDB/XQuery: a fast XQuery processor powered by a relational engine

    Peter Boncz;Torsten Grust;Maurice van Keulen;Stefan Manegold

  • Breaking the memory wall in MonetDB

    Peter A. Boncz;Martin L. Kersten;Stefan Manegold

  • Column-oriented database systems

    Daniel J. Abadi;Peter A. Boncz;Stavros Harizopoulos

  • The meaningful use of big data: four perspectives -- four challenges

    Christian Bizer;Peter Boncz;Michael L. Brodie;Orri Erling

  • The LDBC Social Network Benchmark: Interactive Workload

    Orri Erling;Alex Averbuch;Josep Larriba-Pey;Hassan Chafi

  • The Design and Implementation of Modern Column-Oriented Database Systems

    Daniel Abadi;Peter Boncz;Stavros Harizopoulos

  • Morsel-driven parallelism: a NUMA-aware query evaluation framework for the many-core age

    Viktor Leis;Peter Boncz;Alfons Kemper;Thomas Neumann

  • Generic database cost models for hierarchical memory systems

    Stefan Manegold;Peter Boncz;Martin L. Kersten

  • Optimizing main-memory join on modern hardware

    S. Manegold;P. Boncz;M. Kersten

  • Learned Cardinalities: Estimating Correlated Joins with Deep Learning

    Andreas Kipf;Thomas Kipf;Bernhard Radke;Viktor Leis

  • Monet; a next-Generation DBMS Kernel For Query-Intensive Applications

    Peter Boncz

  • Optimizing database architecture for the new bottleneck: memory access

    Stefan Manegold;Peter A. Boncz;Martin L. Kersten

  • MIL primitives for querying a fragmented world

    Peter A. Boncz;Martin L. Kersten

  • Database architecture evolution: mammals flourished long before dinosaurs became extinct

    Stefan Manegold;Martin L. Kersten;Peter Boncz

  • MonetDB/X100 - A DBMS in the CPU cache

    Marcin Zukowski;Peter A. Boncz;Niels Nes;Sándor Héman

  • TPC-H Analyzed: Hidden Messages and Lessons Learned from an Influential Benchmark

    Peter Boncz;Thomas Neumann;Orri Erling

  • Linked stream data processing engines: facts and figures

    Danh Le-Phuoc;Minh Dao-Tran;Minh-Duc Pham;Peter Boncz

Frequent Co-Authors

Stefan Manegold
Stefan Manegold Centrum Wiskunde & Informatica
Martin L. Kersten
Martin L. Kersten Centrum Wiskunde & Informatica
Thomas Neumann
Thomas Neumann Technical University of Munich
Alfons Kemper
Alfons Kemper Technical University of Munich
Jens Teubner
Jens Teubner TU Dortmund University
Angela Bonifati
Angela Bonifati Claude Bernard University Lyon 1
Anastasia Ailamaki
Anastasia Ailamaki École Polytechnique Fédérale de Lausanne
Alexandru Iosup
Alexandru Iosup Vrije Universiteit Amsterdam
Daniel J. Abadi
Daniel J. Abadi University of Maryland, College Park

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