Person

Dr.

Matthias Rüdiger

M.Sc.

Affiliated Professors and Lecturers

Matthias Rüdiger
Bern University of Applied Sciences & RWTH TIM Institute

Address

Building: 3011

Room: B342

Kackertstraße 7

52072 Aachen

Consultation Hours

By appointment only
 

Responsibilities

  • Research at the Interface of Machine Learning / Natural Language Processing, Science Studies and Innovation Research

Profile

  • Postdoc at the Institute for Applied Data Science & Finance, Bern University of Applied Sciences
  • Postdoc at the Institute for Technology and Innovation Management (TIM), RWTH University
  • Research Associate at the Chair for Innovation, Strategry, and Organisation (ISO), RWTH University
  • Doctoral Studies at the Faculty of Business and Economics at RWTH Aachen University. Dissertation title: "Essays on Text Mining: Methodological Advances and Practical Applications to Scientific Texts"
  • Studies of Management, Business and Economics (M.Sc.)
  • Studies of Computer Science (Dipl.-Inform.) with majors in Datamining and Dataexploration, Networks and Communication, Graphtheory and Efficient Algorithms at RWTH Aachen University
  • Working Experience as a Founder in the Field of Application Development & Network Services
  • Student Assistant at the Technology and Innovation Management Group and the Data Management and Data Exploration Group at RWTH Aachen University

Publications

  • Matthias Rüdiger, David Antons, and Torsten-Oliver Salge (2022): Topic Modeling Revisited: New Evidence on Algorithm Performance and Quality Metrics. PLOSOne.
  • Matthias Rüdiger, David Antons, and Torsten-Oliver Salge (2021): The Explanatory Power of Citations -
    A New Approach to Unpacking Impact in Science. Scientometrics.
  • Matthias Rüdiger (2020): Essays on Text Mining: Methodological Advances and Practical Applications to Scientific Texts. Dissertation.
  • Matthias Rüdiger, David Antons, and Torsten-Oliver Salge (2018): Unpacking Impact in Science: The Explanatory Power of Citations. Proceedings of the International Conference on Information Systems (ICIS), San Francisco.
  • Matthias Rüdiger, David Antons, and Torsten-Oliver Salge (2017): From Text to Data: On the Role and Effect of Text Pre-Processing in Text Mining Research. Academy of Management Meeting (AOM), Atlanta.
  • Stephan Günnemann, Ines Färber, Matthias Rüdiger and Thomas Seidl (2014): SMVC - Semi-Supervised Multi-View Clustering in Subspace Projections. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), New York.

Research Interests

  • Machine Learning (ML)
  • Natural Language Processing (NLP) and Computational Linguistics
  • Data Mining and Text Mining

External Links