Gabrielle Weidemann
- Cognitive Neuroscience top 5%
- Cellular and Molecular Neuroscience top 5%
- Behavioral Neuroscience top 2%
- Experimental and Cognitive Psychology top 5%
- Social Psychology top 10%
- Co-authors
- Peter F. LovibondGavan P. McNallyE. James KehoeChris J. MitchellCharles R. NealMohamed KabbajDelia M. VázquezLee Hogarth
- Topics
- Memory and Neural Mechanisms (19 papers)Neural dynamics and brain function (12 papers)Neuroscience and Neuropharmacology Research (10 papers)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Gabrielle Weidemann
54 papers receiving 991 citations
Peers
Comparison fields: 5 of 102
- Cognitive Neuroscience 593
- Cellular and Molecular Neuroscience 292
- Behavioral Neuroscience 204
- Experimental and Cognitive Psychology 198
- Social Psychology 157
Countries citing papers authored by Gabrielle Weidemann
This map shows the geographic impact of Gabrielle Weidemann'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 Gabrielle Weidemann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabrielle Weidemann more than expected).
Fields of papers citing papers by Gabrielle Weidemann
This network shows the impact of papers produced by Gabrielle Weidemann. 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 Gabrielle Weidemann. The network helps show where Gabrielle Weidemann may publish in the future.
Co-authorship network of co-authors of Gabrielle Weidemann
This figure shows the co-authorship network connecting the top 25 collaborators of Gabrielle Weidemann. A scholar is included among the top collaborators of Gabrielle Weidemann 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 Gabrielle Weidemann. Gabrielle Weidemann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 21 | |
| 9 | 7 | |
| 10 | 30 | |
| 11 | 31 | |
| 12 | 17 | |
| 13 | 12 | |
| 14 | 8 | |
| 15 | 6 | |
| 16 | 6 | |
| 17 | 17 | |
| 18 | 14 | |
| 19 | 23 | |
| 20 | 70 |
About Gabrielle Weidemann
Gabrielle Weidemann is a scholar working on Neuropsychology and Physiological Psychology, Behavioral Neuroscience and Cognitive Neuroscience, having authored 58 papers that have together received 1.0k indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (19 papers), Neural dynamics and brain function (12 papers) and Neuroscience and Neuropharmacology Research (10 papers). The work is most often cited by research in Behavioral Neuroscience (204 citations), Cognitive Neuroscience (593 citations) and Cellular and Molecular Neuroscience (292 citations). Gabrielle Weidemann has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Peter F. Lovibond, Gavan P. McNally, E. James Kehoe, Chris J. Mitchell, Charles R. Neal, Mohamed Kabbaj, Delia M. Vázquez, Lee Hogarth, Bronwyn Everett and Elizabeth Manias. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience 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.