World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
61
Citations
13185
World Ranking
3110
National Ranking
149

Overview

Felix Naumann is affiliated with the Hasso Plattner Institute in Germany and has contributed extensively to research in computer science and decision sciences. Their work spans multiple subfields including management science and operations research, artificial intelligence, computer networks and communications, information systems, and signal processing.

Their research frequently addresses topics such as:

  • Data Quality and Management
  • Advanced Database Systems and Queries
  • Data Management and Algorithms
  • Privacy-Preserving Technologies in Data
  • Data Mining Algorithms and Applications
  • Semantic Web and Ontologies
  • Web Data Mining and Analysis

Felix Naumann has published regularly in prominent venues, notably:

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

Recent papers authored or co-authored by Felix Naumann include:

  • "Explainable AI under contract and tort law: legal incentives and technical challenges", 2020, Artificial Intelligence and Law
  • "The Effects of Data Quality on Machine Learning Performance on Tabular Data", 2022, arXiv (Cornell University)
  • "The effects of data quality on machine learning performance on tabular data", 2025, Information Systems
  • "Data dependencies for query optimization: a survey", 2021, The VLDB Journal
  • "Data Preparation", 2020, ACM SIGMOD Record

The scientist has collaborated frequently with co-authors including Thorsten Papenbrock, Markus Bühner, Tobias Bleifuß, Divesh Srivastava, and Hazar Harmouch.

Felix Naumann has also contributed to academic literature through book publications. Notably, they authored a book titled "Statistik" published by Springer Nature in 2020.

Best Publications

  • Data fusion

    Jens Bleiholder;Felix Naumann

  • The Stratosphere platform for big data analytics

    Alexander Alexandrov;Rico Bergmann;Stephan Ewen;Johann-Christoph Freytag

  • An Introduction to Duplicate Detection

    Felix Naumann;Melanie Herschel

  • Quality-Driven Query Answering for Integrated Information Systems

    Felix Naumann

  • Profiling relational data: a survey

    Ziawasch Abedjan;Lukasz Golab;Felix Naumann

  • Assessment Methods for Information Quality Criteria

    Felix Naumann;Claudia Rolker

  • Schema matching using duplicates

    A. Bilke;F. Naumann

  • Data fusion: resolving data conflicts for integration

    Xin Luna Dong;Felix Naumann

  • Quality-driven Integration of Heterogenous Information Systems

    Felix Naumann;Ulf Leser;Johann Christoph Freytag

  • Analyzing and predicting viral tweets

    Maximilian Jenders;Gjergji Kasneci;Felix Naumann

  • Data profiling revisited

    Felix Naumann

  • Functional dependency discovery: an experimental evaluation of seven algorithms

    Thorsten Papenbrock;Jens Ehrlich;Jannik Marten;Tommy Neubert

  • DogmatiX tracks down duplicates in XML

    Melanie Weis;Felix Naumann

  • Completeness of integrated information sources

    Felix Naumann;Johann-Christoph Freytag;Ulf Leser

  • Semantic Overlay Clusters within Super-Peer Networks

    Alexander Löser;Felix Naumann;Wolf Siberski;Wolfgang Nejdl

  • Explainable AI under contract and tort law: legal incentives and technical challenges

    Philipp Hacker;Ralf Krestel;Stefan Grundmann;Felix Naumann

  • Fusion Cubes: Towards Self-Service Business Intelligence

    Alberto Abelló;Jérôme Darmont;Lorena Etcheverry;Matteo Golfarelli

  • A Hybrid Approach to Functional Dependency Discovery

    Thorsten Papenbrock;Felix Naumann

  • Progressive Duplicate Detection

    Thorsten Papenbrock;Arvid Heise;Felix Naumann

  • Adaptive Windows for Duplicate Detection

    Uwe Draisbach;Felix Naumann;Sascha Szott;Oliver Wonneberg

  • Semantic overlay clusters within super-peer networks

    Alexander Löser;Felix Naumann;Wolf Siberski;Wolfgang Nejdl

Frequent Co-Authors

Ulf Leser
Ulf Leser Humboldt-Universität zu Berlin
Divesh Srivastava
Divesh Srivastava AT&T (United States)
Xin Luna Dong
Xin Luna Dong Facebook (United States)
Lukasz Golab
Lukasz Golab University of Waterloo
Sanjay Chawla
Sanjay Chawla Qatar Computing Research Institute
Lucian Popa
Lucian Popa IBM (United States)
Volker Markl
Volker Markl Technical University of Berlin
Ioana Manolescu
Ioana Manolescu French Institute for Research in Computer Science and Automation - INRIA
Stefano Spaccapietra
Stefano Spaccapietra École Polytechnique Fédérale de Lausanne

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