Navigationsweiche Anfang

Navigationsweiche Ende


Norman Meuschke

Chair of Digital Media
University of Wuppertal
School of Electrical
Information and Media Engineering
Rainer-Gruenter-Str. 21
D-42119 Wuppertal
Office: FC 1.19

Phone: +49 (0)202 439 1618


Norman Meuschke

Doctoral Researcher

Office: FC 1.19


schedule appointment



My main research interests are methods for semantic similarity analysis and their application for information retrieval. Beyond my core research, I am interested in applied data science and knowledge management challenges and the application of blockchain technology to tackle these challenges.

My research spans the fields of:

  • Information Retrieval for text, images, and mathematical content
  • Plagiarism Detection
  • Citation and Link Analysis
  • Blockchain Technology
  • Information Visualization

For details on specific projects, please see the links on the right or my publications below.


09/2018 - present Doctoral Researcher
Chair of Media Technology, University of Wuppertal
03/2015 - 08/2018 Doctoral Researcher
Information Science Group, University of Konstanz
03/2014 - 02/2015 Visiting Researcher
National Institute of Informatics Tokyo, Japan
08/2011 - 02/2014 Visiting Researcher
University of California, Berkeley, US


I very much enjoy collaborating with other researchers and students. If your are interested in my research, please do not hesitate to contact me. If you are a student looking for a bachelor's or master's project or thesis, please see the various topics I offer related to all areas of my research at our students corner.



A complete list of my publications is available here.

HyPlag: A Hybrid Approach to Academic Plagiarism Detection
N. Meuschke, V. Stange, M. Schubotz, B. Gipp
Proc. Int. ACM SIGIR Conf. on Research and Development in Information Retrieval (SIGIR), 2018
(PDF)  BibTeX
An Adaptive Image-based Plagiarism Detection Approach
N. Meuschke, C. Gondeck, D. Seebacher, C. Breitinger, D. Keim, B. Gipp
Proc. ACM / IEEE-CS Joint Conf. on Digital Libraries (JCDL), 2018
(PDF)  BibTeX
Analyzing Mathematical Content to Detect Academic Plagiarism
N. Meuschke, M. Schubotz, F. Hamborg, T. Skopal, B. Gipp
Proc. ACM Int. Conf. on Information and Knowledge Management (CIKM), 2017.
(PDF)  BibTeX
Analyzing Semantic Concept Patterns to Detect Academic Plagiarism
N. Meuschke, N. Siebeck, M. Schubotz, B. Gipp
Proc. 6th Int. WS on Mining Scientific Publications (WOSP) held at
ACM / IEEE-CS Joint Conf. on Digital Libraries (JCDL)
, 2017.
(PDF)  BibTeX
State of the Art in Detecting Academic Plagiarism
N. Meuschke, B. Gipp
Int. Journal for Educational Integrity, vol. 9, iss. 1, pp. 50-71, 2013.
zuletzt bearbeitet am: 15.02.2019