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

D-Index & Metrics

Computer Science

D-Index
66
Citations
14468
World Ranking
2362
National Ranking
98

Research.com Recognitions

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

Overview

Alfons Kemper is affiliated with the Technical University of Munich in Germany. Their research primarily lies within the broad field of Computer Science, with a focus on several interconnected subfields and topics.

The main areas of study for Kemper include:

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

Kemper's research topics are centered mostly on:

  • Advanced Database Systems and Queries
  • Data Management and Algorithms
  • Distributed Systems and Fault Tolerance
  • Advanced Data Storage Technologies
  • Geographic Information Systems Studies
  • Parallel Computing and Optimization Techniques
  • Cloud Computing and Resource Management

Frequent coauthors in Kemper's publications include:

  • Thomas Neumann, with 23 joint publications
  • Andreas Kipf, with 12 joint publications
  • Alexander van Renen, with 11 joint publications
  • Varun Pandey, with 6 joint publications
  • Maximilian E. Schüle, with 6 joint publications

Kemper's work has appeared in a range of publication venues, notably:

  • Proceedings of the VLDB Endowment (10 publications)
  • arXiv (Cornell University) (6 publications)
  • Datenbank-Spektrum (4 publications)
  • Proceedings of the 2022 International Conference on Management of Data (2 publications)
  • The VLDB Journal (1 publication)

Some of Kemper's recent papers, illustrating the scope and focus of their research, include:

  • "Adopting worst-case optimal joins in relational database systems," 2020, Proceedings of the VLDB Endowment
  • "FL-RMQ: A Learned Approach to Range Minimum Queries," 2025, arXiv (Cornell University)
  • "RadixSpline: A Single-Pass Learned Index," 2020, arXiv (Cornell University)
  • "Building blocks for persistent memory," 2020, The VLDB Journal
  • "Plush," 2022, Proceedings of the VLDB Endowment

The research exhibited by Kemper covers a wide variety of topics in database systems, query optimization, indexing techniques, persistent memory, and learned data structures. The span of years and venues demonstrates continuous engagement in both foundational and developing areas within computer science.

Best Publications

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

    Alfons Kemper;Thomas Neumann

  • How good are query optimizers, really?

    Viktor Leis;Andrey Gubichev;Atanas Mirchev;Peter Boncz

  • Heuristic and randomized optimization for the join ordering problem

    Michael Steinbrunn;Guido Moerkotte;Alfons Kemper

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

    V. Leis;Alfons Kemper;T. Neumann

  • Multi-tenant databases for software as a service: schema-mapping techniques

    Stefan Aulbach;Torsten Grust;Dean Jacobs;Alfons Kemper

  • Workload Analysis and Demand Prediction of Enterprise Data Center Applications

    D. Gmach;J. Rolia;L. Cherkasova;A. Kemper

  • Advances in database technology - EDBT 2006 : 10th International Conference on Extending Database Technology, Munich, Germany, March 2006; proceedings

    Yannis Ioannidis;Marc H. Scholl;Joachim W. Schmidt;Florian Matthes

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

    Viktor Leis;Peter Boncz;Alfons Kemper;Thomas Neumann

  • Object-oriented database management: applications in engineering and computer science

    Alfons Kemper;Guido Moerkotte

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

    Thomas Neumann;Tobias Mühlbauer;Alfons Kemper

  • Towards context-aware adaptable web services

    Markus Keidl;Alfons Kemper

  • Learned Cardinalities: Estimating Correlated Joins with Deep Learning

    Andreas Kipf;Thomas Kipf;Bernhard Radke;Viktor Leis

  • Access support in object bases

    Alfons Kemper;Guido Moerkotte

  • Resource pool management: Reactive versus proactive or let's be friends

    Daniel Gmach;Jerry Rolia;Ludmila Cherkasova;Alfons Kemper

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

    Martina-Cezara Albutiu;Alfons Kemper;Thomas Neumann

  • A comparison of flexible schemas for software as a service

    Stefan Aulbach;Dean Jacobs;Alfons Kemper;Michael Seibold

  • Load Balancing in MapReduce Based on Scalable Cardinality Estimates

    Benjamin Gufler;Nikolaus Augsten;Angelika Reiser;Alfons Kemper

  • 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

  • Advanced Query Processing in Object Bases Using Access Support Relations

    Alfons Kemper;Guido Moerkotte

  • Performance Tuning for SAP R/3.

    Alfons Kemper;Donald Kossmann;Bernhard Zeller

  • An analysis of geometric modeling in database systems

    Alfons Kemper;Mechtild Wallrath

Frequent Co-Authors

Thomas Neumann
Thomas Neumann Technical University of Munich
Guido Moerkotte
Guido Moerkotte University of Mannheim
Donald Kossmann
Donald Kossmann Microsoft (United States)
Peter Boncz
Peter Boncz Centrum Wiskunde & Informatica
Alois Knoll
Alois Knoll Technical University of Munich
Stephan Günnemann
Stephan Günnemann Technical University of Munich
Florian Matthes
Florian Matthes Technical University of Munich
Umeshwar Dayal
Umeshwar Dayal Hitachi (Japan)
Helmut Krcmar
Helmut Krcmar Technical University of Munich

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