RESEARCH INTERESTS

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 (esp. for text, images, and mathematical content)
• Natural Language Processing
• 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.

DOCTORAL THESIS

Analyzing Non-Textual Content Elements to Detect Academic Plagiarism
University of Konstanz, 2021.
Grade: summa cum laude (excellent)
Winner of the Airbus Research Award “Claude Dornier” 2022 (more information).

PDF | DOI | BibTeX | Springer Book

Resources for my thesis (Data and source code, recording and slides of my doctoral defense)

Ceremony for Airbus Research Award “Claude Dornier” 2022

TEACHING & PROJECTS

I very much enjoy collaborating with other researchers and students. If you 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.

SHORT CV

05/2022 – present

Researcher
Scientific Information Analytics Group, University of Göttingen

09/2018 – 04/2022

Researcher
Data & Knowledge Engineering Group, University of Wuppertal

03/2015 – 08/2018

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

SELECTED PUBLICATIONS

All Publications   |   Google Scholar Profile

Analyzing Non-Textual Content Elements to Detect Academic Plagiarism
N. Meuschke
Springer Fachmedien, Wiesbaden, 2023.
(PDF  DOI)

Incentive Mechanisms in Peer-to-Peer Networks — A Systematic Literature Review
C. Ihle, D. Trautwein, M. Schubotz, N. Meuschke, B. Gipp
ACM Computing Surveys, vol. 55, iss. 14, p. 308:1-308:69, 2023.
(PDF  DOI)

Academic Plagiarism Detection: A Systematic Literature Review
T. Foltynek, N. Meuschke, B. Gipp
ACM Computing Surveys, vol. 52, iss. 6, p. 112:1-112:42, 2019.
(PDF  DOI  BibTeX)

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  DOI  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  DOI  BibTeX)