Research Fraud Detection
Research Fraud Detection is a systematic academic process within research compliance that identifies intentional misconduct in scholarly work through the application of methodological, statistical, or forensic techniques to distinguish fabricated, falsified, or plagiarized data from authentic research outputs.
171
Publications
8.8K
Citations
314
Authors
212
Institutions
Publications per year
2017–2026
54
Parents
171
Martin Májovský, Martin Černý, Matěj Kasal et al. · Journal of Medical Internet Research · 2023 · 286 citations · Full text
Uri Simonsohn · Psychological Science · 2013 · 224 citations
Business, Accountancy, Accounting +16
1–5 of 171
314
4
h-index
All Russian Institute for Scientific and Technical Information, Russia
3 publications · 122 citations
3
h-index
3
h-index
2
h-index
2
h-index
1–5 of 314
212
Max Planck Institute for Human Development
Berlin, Germany
2 h-index
2 publications
50 citations

The University of Adelaide
Adelaide, Australia
2 h-index
3 publications
49 citations
Center for Behavioral Brain Sciences
Magdeburg, Germany
2 h-index
4 publications
128 citations

The University of Sydney
Sydney, Australia
2 h-index
2 publications
105 citations

Universidad de Granada
Granada, Spain
2 h-index
3 publications
185 citations
University of Sussex
Brighton, United Kingdom
2 h-index
2 publications
107 citations
Laboratoire d'Informatique de Grenoble
Grenoble, France
2 h-index
2 publications
136 citations

University of Toronto
Toronto, Canada
2 h-index
8 publications
256 citations
1–8 of 212
14 publications · 353 citations
11
h-index
Repository · 8 publications · 160 citations
8
h-index
8 publications · 225 citations
8
h-index
6 publications · 786 citations
6
h-index
6 publications · 211 citations
6
h-index
1–5