World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

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

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