Nick Donnelly

3.2k total citations
104 papers, 2.4k citations indexed

About

Nick Donnelly is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Nick Donnelly has authored 104 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Cognitive Neuroscience, 33 papers in Experimental and Cognitive Psychology and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in Nick Donnelly's work include Visual perception and processing mechanisms (40 papers), Face Recognition and Perception (27 papers) and Neural and Behavioral Psychology Studies (24 papers). Nick Donnelly is often cited by papers focused on Visual perception and processing mechanisms (40 papers), Face Recognition and Perception (27 papers) and Neural and Behavioral Psychology Studies (24 papers). Nick Donnelly collaborates with scholars based in United Kingdom, United States and China. Nick Donnelly's 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 and has published in prestigious journals such as Nature, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Nick Donnelly

96 papers receiving 2.3k citations

Peers

Nick Donnelly

ECP

CVPR

Oliver Langner Germany

Gernot Horstmann Germany

Daniel Fiset Canada

Alison Harris United States

Michael A. Motes United States

Yei‐Yu Yeh Taiwan

Stefanie I. Becker Australia

Caroline Blais Canada

K. Suzanne Scherf United States

Matthew S. Cain United States

Oliver Langner Germany

Nick Donnelly

1.2k ×0.6

979 ×1.4

ECP

484 ×1.1

CVPR

460 ×1.4

262 ×1.4

Citations per year, relative to Nick Donnelly Nick Donnelly (= 1×) peers Oliver Langner

Countries citing papers authored by Nick Donnelly

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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20 of 20 papers shown

Thomas, Kyla H, Michael N Dalili, Hung‐Yuan Cheng, et al.. (2024). Prevalence of problematic pharmaceutical opioid use in patients with chronic non‐cancer pain: A systematic review and meta‐analysis. Addiction. 119(11). 1904–1922. 3 indexed citations

Donnelly, Nick, et al.. (2023). The Effect of Prior Viewing Position and Spatial Scale on the Viewing of Paintings. Vision. 7(3). 55–55. 1 indexed citations

Godwin, H. J., Tamaryn Menneer, Simon P. Liversedge, et al.. (2020). Experience with searching in displays containing depth improves search performance by training participants to search more exhaustively. Acta Psychologica. 210. 103173–103173. 3 indexed citations

Menneer, Tamaryn, et al.. (2019). The relationship between working memory and the dual-target cost in visual search guidance.. Journal of Experimental Psychology Human Perception & Performance. 45(7). 911–935. 3 indexed citations

Godwin, H. J., et al.. (2018). Individual differences in search and monitoring for color targets in dynamic visual displays.. Journal of Experimental Psychology Applied. 24(4). 564–577. 20 indexed citations

Godwin, H. J., et al.. (2017). The importance of search strategy for finding targets in open terrain. Cognitive Research Principles and Implications. 2(1). 14–14. 13 indexed citations

Glautier, Steven, et al.. (2016). Flexible Configural Learning of Non-Linear Discriminations and Detection of Stimulus Compounds. Experimental Psychology (formerly Zeitschrift für Experimentelle Psychologie). 63(4). 215–236. 1 indexed citations

Godwin, H. J., Tamaryn Menneer, Simon P. Liversedge, et al.. (2014). Searching for overlapping objects in depth: Depth speeds search, but does not improve response accuracy. Journal of Vision. 14(10). 1190–1190. 1 indexed citations

Richards, Helen J., Valerie Benson, Nick Donnelly, & Julie A. Hadwin. (2013). Exploring the function of selective attention and hypervigilance for threat in anxiety. Clinical Psychology Review. 34(1). 1–13. 151 indexed citations

10.

Stroud, Michael J., Tamaryn Menneer, Kyle R. Cave, & Nick Donnelly. (2011). Using the dual-target cost to explore the nature of search target representations.. Journal of Experimental Psychology Human Perception & Performance. 38(1). 113–122. 61 indexed citations

11.

Donnelly, Nick, et al.. (2009). Cognitive training for attention, inhibition and working memory deficits: a potential treatment for ADHD?. ePrints Soton (University of Southampton). 6 indexed citations

12.

Donnelly, Nick, et al.. (2006). Are we properly using our brains in seismic interpretation?. The Leading Edge. 25(2). 142–144. 7 indexed citations

13.

Menneer, Tamaryn, et al.. (2004). Search efficiency for multiple targets. ePrints Soton (University of Southampton). 17 indexed citations

14.

Guest, Richard, Nick Donnelly, Michael Fairhurst, & Jonathan Potter. (2004). Using image analysis techniques to analyze figure-copying performance of patients with visuospatial neglect and control groups. Behavior Research Methods, Instruments, & Computers. 36(2). 347–354. 2 indexed citations

15.

Guest, Richard, Michael Fairhurst, Jonathan Potter, & Nick Donnelly. (2000). Computer assessment of line drawing in visual neglect. The Science of The Total Environment. 684. 413–424. 1 indexed citations

16.

Potter, Jonathan, et al.. (1999). Inter-rater reliability in the Rivermead Behavioural Inattention Test. ePrints Soton (University of Southampton). 6 indexed citations

17.

Wilkinson, David T. & Nick Donnelly. (1999). The Role of Stimulus Factors in Making Categorical and Coordinate Spatial Judgments. Brain and Cognition. 39(3). 171–185. 14 indexed citations

18.

Müller, Hermann J., Glyn W. Humphreys, & Nick Donnelly. (1994). SEarch via Recursive Rejection (SERR): Visual search for single and dual form-conjunction targets.. Journal of Experimental Psychology Human Perception & Performance. 20(2). 235–258. 28 indexed citations

19.

Humphreys, Glyn W., M. Jane Riddoch, Philip T. Quinlan, Cathy J. Price, & Nick Donnelly. (1992). Parallel pattern processing and visual agnosia.. Canadian Journal of Psychology/Revue Canadienne de Psychologie. 46(3). 377–416. 46 indexed citations

20.

Davidoff, Jules & Nick Donnelly. (1990). Object superiority: A comparison of complete and part probes. Acta Psychologica. 73(3). 225–243. 74 indexed citations

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.

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