World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
55
Citations
12499
World Ranking
4300
National Ranking
187

Thomas Neumann 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 Thomas Neumann 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: 243 publications — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Thomas Neumann 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 Thomas Neumann 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

Thomas Neumann is affiliated with the Technical University of Munich in Germany and focuses on research within the field of Computer Science. Their work spans multiple subfields including Computer Networks and Communications, Artificial Intelligence, Signal Processing, Information Systems, and Hardware and Architecture.

The primary areas of study for Thomas Neumann include Advanced Database Systems and Queries, Data Management and Algorithms, Advanced Data Storage Technologies, Distributed Systems and Fault Tolerance, Cloud Computing and Resource Management, Algorithms and Data Compression, and Scientific Computing and Data Management.

Frequent publication venues for their research include:

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

Among recent papers, the following have been noted along with their publication years and venues:

  • The Seattle Report on Database Research, 2020, ACM SIGMOD Record
  • Adopting Worst-Case Optimal Joins in Relational Database Systems, 2020, Proceedings of the VLDB Endowment
  • FSST, 2020, Proceedings of the VLDB Endowment
  • FL-RMQ: A Learned Approach to Range Minimum Queries, 2025, arXiv (Cornell University)
  • The Seattle Report on Database Research, 2022, Communications of the ACM

Thomas Neumann frequently collaborates with other researchers in the field. Notable co-authors include:

  • Alfons Kemper
  • Viktor Leis
  • Peter Boncz
  • Andreas Kipf
  • Tim Kraska

Best Publications

  • HyPer: A hybrid OLTP&OLAP main memory database system based on virtual memory snapshots

    Alfons Kemper;Thomas Neumann

  • RDF-3X: a RISC-style engine for RDF

    Thomas Neumann;Gerhard Weikum

  • The RDF-3X engine for scalable management of RDF data

    Thomas Neumann;Gerhard Weikum

  • How good are query optimizers, really?

    Viktor Leis;Andrey Gubichev;Atanas Mirchev;Peter Boncz

  • Efficiently compiling efficient query plans for modern hardware

    Thomas Neumann

  • The adaptive radix tree: ARTful indexing for main-memory databases

    V. Leis;Alfons Kemper;T. Neumann

  • Characteristic sets: Accurate cardinality estimation for RDF queries with multiple joins

    Thomas Neumann;Guido Moerkotte

  • Scalable join processing on very large RDF graphs

    Thomas Neumann;Gerhard Weikum

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

    Viktor Leis;Peter Boncz;Alfons Kemper;Thomas Neumann

  • Fast Serializable Multi-Version Concurrency Control for Main-Memory Database Systems

    Thomas Neumann;Tobias Mühlbauer;Alfons Kemper

  • Efficient top-k querying over social-tagging networks

    Ralf Schenkel;Tom Crecelius;Mouna Kacimi;Sebastian Michel

  • Preventing bad plans by bounding the impact of cardinality estimation errors

    Guido Moerkotte;Thomas Neumann;Gabriele Steidl

  • Massively parallel sort-merge joins in main memory multi-core database systems

    Martina-Cezara Albutiu;Alfons Kemper;Thomas Neumann

  • x-RDF-3X: fast querying, high update rates, and consistency for RDF databases

    Thomas Neumann;Gerhard Weikum

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

    Peter Boncz;Thomas Neumann;Orri Erling

  • The mixed workload CH-benCHmark

    Richard Cole;Florian Funke;Leo Giakoumakis;Wey Guy

  • RadixSpline: a single-pass learned index

    Andreas Kipf;Ryan Marcus;Alexander van Renen;Mihail Stoian

  • Data Blocks: Hybrid OLTP and OLAP on Compressed Storage using both Vectorization and Compilation

    Harald Lang;Tobias Mühlbauer;Florian Funke;Peter A. Boncz

  • Query optimization through the looking glass, and what we found running the Join Order Benchmark

    Viktor Leis;Bernhard Radke;Andrey Gubichev;Atanas Mirchev

  • A time machine for text search

    Klaus Berberich;Srikanta Bedathur;Thomas Neumann;Gerhard Weikum

  • Umbra: A Disk-Based System with In-Memory Performance.

    Thomas Neumann;Michael J. Freitag

Frequent Co-Authors

Alfons Kemper
Alfons Kemper Technical University of Munich
Gerhard Weikum
Gerhard Weikum Max Planck Institute for Informatics
Peter Boncz
Peter Boncz Centrum Wiskunde & Informatica
Guido Moerkotte
Guido Moerkotte University of Mannheim
Wolfgang Knoll
Wolfgang Knoll Austrian Institute of Technology
Stephan Günnemann
Stephan Günnemann Technical University of Munich
Ralf Schenkel
Ralf Schenkel University of Trier
Dirk Volkmer
Dirk Volkmer University of Augsburg
Andrew Pavlo
Andrew Pavlo Carnegie Mellon University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring computer science in the USA opens doors to a range of related fields and flexible study options. For those seeking convenience and accelerated learning, an online computer science degree offers a way to gain practical skills without sacrificing work or personal commitments.

If you’re interested in the intersection of technology and sustainability, an environmental engineering degree provides a solid foundation in addressing environmental challenges through engineering solutions. Mechanical engineering is another excellent option for tech-minded students, with many pursuing an online mechanical engineering degree to master the design and mechanics of cutting-edge technology.

For those drawn to fundamental science, an online physics degree can open pathways into research, teaching, or high-tech industries. Each program offers online flexibility, allowing students from around the world to access top-tier U.S. education and advance their careers in STEM.

Best Scientists Citing Thomas Neumann

Trending Scientists

Recently Published Articles