Nick Donnelly
- Cognitive Neuroscience top 1%
- Experimental and Cognitive Psychology top 2%
- Computer Vision and Pattern Recognition top 2%
- Social Psychology top 5%
- Clinical Psychology top 10%
- Co-authors
- Kyle R. CaveTamaryn MenneerM. Jane RiddochJulie A. HadwinG. W. HumphreysMarius UsherH. J. GodwinJules Davidoff
- Topics
- Visual perception and processing mechanisms (40 papers)Face Recognition and Perception (27 papers)Neural and Behavioral Psychology Studies (24 papers)
- Partner nations
- United KingdomUnited StatesChina
In The Last Decade
Nick Donnelly
96 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 120
- Cognitive Neuroscience 1.9k
- Experimental and Cognitive Psychology 724
- Computer Vision and Pattern Recognition 427
- Social Psychology 334
- Clinical Psychology 188
Countries citing papers authored by Nick Donnelly
This map shows the geographic impact of Nick Donnelly'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 Nick Donnelly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nick Donnelly more than expected).
Fields of papers citing papers by Nick Donnelly
This network shows the impact of papers produced by Nick Donnelly. 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 Nick Donnelly. The network helps show where Nick Donnelly may publish in the future.
Co-authorship network of co-authors of Nick Donnelly
This figure shows the co-authorship network connecting the top 25 collaborators of Nick Donnelly. A scholar is included among the top collaborators of Nick Donnelly 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 Nick Donnelly. Nick Donnelly is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 20 | |
| 6 | 13 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 151 | |
| 10 | 61 | |
| 11 | Cognitive training for attention, inhibition and working memory deficits: a potential treatment for ADHD? | 6 |
| 12 | 7 | |
| 13 | Search efficiency for multiple targets | 17 |
| 14 | 2 | |
| 15 | 1 | |
| 16 | Inter-rater reliability in the Rivermead Behavioural Inattention Test | 6 |
| 17 | 14 | |
| 18 | 28 | |
| 19 | 46 | |
| 20 | 74 |
About Nick Donnelly
Nick Donnelly is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Human-Computer Interaction, having authored 104 papers that have together received 2.4k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (40 papers), Face Recognition and Perception (27 papers) and Neural and Behavioral Psychology Studies (24 papers). The work is most often cited by research in Cognitive Neuroscience (1.9k citations), Experimental and Cognitive Psychology (724 citations) and General Decision Sciences (41 citations). Nick Donnelly has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Kyle R. Cave, Tamaryn Menneer, M. Jane Riddoch, Julie A. Hadwin, G. W. Humphreys, Marius Usher, H. J. Godwin, Jules Davidoff, Glyn W. Humphreys and Valerie Benson. Their work appears in journals such as Nature, PLoS ONE and The Science of The Total Environment.
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.