Adrian Aldcroft
- General Health Professions top 10%
- Cognitive Neuroscience top 10%
- Public Health, Environmental and Occupational Health
- Statistics, Probability and Uncertainty top 5%
- Economics and Econometrics top 10%
- Co-authors
- Tutis VilisMary‐Ellen LargeDavid MoherSharon E. StrausErin LillieKelly K. O’BrienWasifa ZarinJessie McGowan
- Topics
- Visual perception and processing mechanisms (7 papers)Meta-analysis and systematic reviews (5 papers)Face Recognition and Perception (4 papers)
- Partner nations
- CanadaUnited KingdomAustralia
In The Last Decade
Adrian Aldcroft
13 papers receiving 711 citations
Hit Papers
Peers
Comparison fields: 5 of 136
- General Health Professions 157
- Cognitive Neuroscience 129
- Public Health, Environmental and Occupational Health 93
- Statistics, Probability and Uncertainty 82
- Economics and Econometrics 71
Countries citing papers authored by Adrian Aldcroft
This map shows the geographic impact of Adrian Aldcroft's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Adrian Aldcroft with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adrian Aldcroft more than expected).
Fields of papers citing papers by Adrian Aldcroft
This network shows the impact of papers produced by Adrian Aldcroft. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Adrian Aldcroft. The network helps show where Adrian Aldcroft may publish in the future.
Co-authorship network of co-authors of Adrian Aldcroft
This figure shows the co-authorship network connecting the top 25 collaborators of Adrian Aldcroft. A scholar is included among the top collaborators of Adrian Aldcroft based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Adrian Aldcroft. Adrian Aldcroft is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 22 | |
| 3 | 29 | |
| 4 | 14 | |
| 5 | Reporting scoping reviews—PRISMA ScR extensionbreakdown → | 278 |
| 6 | Reporting of stepped wedge cluster randomised trials: extension of the CONSORT 2010 statement with explanation and elaborationbreakdown → | 247 |
| 7 | Reporting of The CONSORT extension for Stepped-Wedge Cluster Randomised Trials: Extension of the CONSORT 2010 statement with explanation and elaboration | 1 |
| 8 | 18 | |
| 9 | 15 | |
| 10 | 0 | |
| 11 | 11 | |
| 12 | 19 | |
| 13 | 31 | |
| 14 | 30 |
About Adrian Aldcroft
Adrian Aldcroft is a scholar working on Statistics, Probability and Uncertainty, History and Philosophy of Science and Cognitive Neuroscience, having authored 14 papers that have together received 719 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (7 papers), Meta-analysis and systematic reviews (5 papers) and Face Recognition and Perception (4 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (82 citations), Health Informatics (10 citations) and Cognitive Neuroscience (129 citations). Adrian Aldcroft has collaborated with scholars based in Canada, United Kingdom and Australia. Frequent co-authors include Tutis Vilis, Mary‐Ellen Large, David Moher, Sharon E. Straus, Erin Lillie, Kelly K. O’Brien, Wasifa Zarin, Jessie McGowan, Özge Tunçalp and Andrea C. Tricco. Their work appears in journals such as PLoS ONE, Journal of Neurophysiology and Brain Research.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.