Geoff Cumming
- Cognitive Neuroscience top 1%
- Experimental and Cognitive Psychology top 0.5%
- Statistics, Probability and Uncertainty top 0.1%
- Social Psychology top 0.5%
- Statistics and Probability top 0.2%
- Co-authors
- Sue FinchFiona FidlerDavid L. VauxRobert Calin‐JagemanNeil ThomasonJennifer WilliamsMark A. BurgmanMarissa F. McBride
- Topics
- Meta-analysis and systematic reviews (37 papers)Statistical Methods in Clinical Trials (14 papers)Mental Health Research Topics (12 papers)
- Partner nations
- AustraliaItalyUnited States
In The Last Decade
Geoff Cumming
101 papers receiving 9.9k citations
Hit Papers
Peers
Comparison fields: 5 of 230
- Cognitive Neuroscience 1.6k
- Experimental and Cognitive Psychology 1.5k
- Statistics, Probability and Uncertainty 1.4k
- Social Psychology 1.3k
- Statistics and Probability 1.2k
Countries citing papers authored by Geoff Cumming
This map shows the geographic impact of Geoff Cumming'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 Geoff Cumming with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geoff Cumming more than expected).
Fields of papers citing papers by Geoff Cumming
This network shows the impact of papers produced by Geoff Cumming. 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 Geoff Cumming. The network helps show where Geoff Cumming may publish in the future.
Co-authorship network of co-authors of Geoff Cumming
This figure shows the co-authorship network connecting the top 25 collaborators of Geoff Cumming. A scholar is included among the top collaborators of Geoff Cumming 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 Geoff Cumming. Geoff Cumming is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 103 | |
| 2 | 59 | |
| 3 | 8 | |
| 4 | 19 | |
| 5 | 66 | |
| 6 | 231 | |
| 7 | 32 | |
| 8 | Inference by eye: Reading the overlap of independent confidence intervalsbreakdown → | 527 |
| 9 | 34 | |
| 10 | 77 | |
| 11 | 251 | |
| 12 | 15 | |
| 13 | 51 | |
| 14 | 81 | |
| 15 | 34 | |
| 16 | Advanced research in computers and communications in education : new human abilities for the networked society | 9 |
| 17 | 30 | |
| 18 | 3 | |
| 19 | 1 | |
| 20 | 2 |
About Geoff Cumming
Geoff Cumming is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability and General Decision Sciences, having authored 102 papers that have together received 10.4k indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (37 papers), Statistical Methods in Clinical Trials (14 papers) and Mental Health Research Topics (12 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (1.4k citations), General Decision Sciences (285 citations) and Statistics and Probability (1.2k citations). Geoff Cumming has collaborated with scholars based in Australia, Italy and United States. Frequent co-authors include Sue Finch, Fiona Fidler, David L. Vaux, Robert Calin‐Jageman, Neil Thomason, Jennifer Williams, Mark A. Burgman, Marissa F. McBride, Louisa Flander and Jerry Lai. Their work appears in journals such as The Journal of Experimental Medicine, The Journal of Cell Biology and PLoS ONE.
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.