Scientific Misconduct Detection
Scientific Misconduct Detection is a systematic scholarly process within research governance that identifies deviations from accepted scientific norms through the application of methodological, analytical, or procedural criteria to distinguish potentially fraudulent, fabricated, falsified, or otherwise ethically compromised research outputs.
380
Publications
18.7K
Citations
647
Authors
408
Institutions
Publications per year
2017–2026
121
Parents
380
Biological invasions as global environmental change
Peter M. Vitousek, Carla M. D’Antonio, Lloyd L. Loope et al. · American Scientist · 1996 · 2.1K citations
Humanities, Biology, Bioethics +10
How important is publication bias? A synthesis of available data.
Kay Dickersin · PubMed · 1997 · 312 citations
1–5 of 380
647
5
h-index
4
h-index
4
h-index
4
h-index
4
h-index
1–5 of 647
408
University of Pennsylvania
Philadelphia, United States
7 h-index
9 publications
750 citations
University of Oxford
Oxford, United Kingdom
6 h-index
7 publications
221 citations
University of Michigan
Ann Arbor, United States
5 h-index
4 publications
97 citations
University of California San Diego
San Diego, United States
5 h-index
6 publications
536 citations
Wayne State University
Detroit, United States
5 h-index
8 publications
444 citations

University of Maryland, Baltimore
Baltimore, United States
4 h-index
5 publications
459 citations

University of Oslo
Oslo, Norway
4 h-index
8 publications
303 citations

Johns Hopkins University
Baltimore, United States
4 h-index
12 publications
321 citations
1–8 of 408
24 publications · 1.2K citations
18
h-index
22 publications · 779 citations
16
h-index
Repository · 22 publications · 764 citations
15
h-index
17 publications · 494 citations
13
h-index
14 publications · 444 citations
12
h-index
1–5