Linda Lanyon

6.2k total citations
24 papers, 480 citations indexed

About

Linda Lanyon is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Linda Lanyon has authored 24 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cognitive Neuroscience, 6 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Linda Lanyon's work include Visual perception and processing mechanisms (9 papers), Advanced Neuroimaging Techniques and Applications (6 papers) and Neural dynamics and brain function (5 papers). Linda Lanyon is often cited by papers focused on Visual perception and processing mechanisms (9 papers), Advanced Neuroimaging Techniques and Applications (6 papers) and Neural dynamics and brain function (5 papers). Linda Lanyon collaborates with scholars based in United Kingdom, Canada and United States. Linda Lanyon's co-authors include Jason J.S. Barton, Susan L. Denham, Deborah Giaschi, Christopher J. Fox, Giuseppe Iaria, George L. Malcolm, Andrew J.B. Fugard, Michael Scheel, Yaroslav O. Halchenko and Padraig Gleeson and has published in prestigious journals such as Nature Neuroscience, PLoS ONE and NeuroImage.

In The Last Decade

Linda Lanyon

24 papers receiving 467 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Linda Lanyon United Kingdom 13 223 63 52 45 44 24 480
Ari Rosenberg United States 15 507 2.3× 11 0.2× 76 1.5× 17 0.4× 26 0.6× 39 1.0k
Linda Lillakas Canada 17 365 1.6× 18 0.3× 55 1.1× 8 0.2× 37 0.8× 39 775
Kelly Dobson United States 8 90 0.4× 17 0.3× 65 1.3× 17 0.4× 36 0.8× 18 389
Denise Gobert United States 7 142 0.6× 19 0.3× 27 0.5× 5 0.1× 48 1.1× 18 444
Jean-Claude Gilhodes France 10 285 1.3× 109 1.7× 15 0.3× 10 0.2× 9 0.2× 13 746
Nick Fogt United States 14 313 1.4× 13 0.2× 39 0.8× 23 0.5× 12 0.3× 51 993
Juan Cordero United States 11 108 0.5× 9 0.1× 140 2.7× 25 0.6× 22 0.5× 15 503
Wendy Powell United Kingdom 14 79 0.4× 8 0.1× 47 0.9× 20 0.4× 52 1.2× 50 804
Junru Tian United States 20 551 2.5× 13 0.2× 170 3.3× 15 0.3× 18 0.4× 49 1.3k
Christophe Orssaud France 18 361 1.6× 10 0.2× 274 5.3× 90 2.0× 14 0.3× 78 1.1k

Countries citing papers authored by Linda Lanyon

Since Specialization
Citations

This map shows the geographic impact of Linda Lanyon'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 Linda Lanyon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linda Lanyon more than expected).

Fields of papers citing papers by Linda Lanyon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Linda Lanyon. 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 Linda Lanyon. The network helps show where Linda Lanyon may publish in the future.

Co-authorship network of co-authors of Linda Lanyon

This figure shows the co-authorship network connecting the top 25 collaborators of Linda Lanyon. A scholar is included among the top collaborators of Linda Lanyon 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 Linda Lanyon. Linda Lanyon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Eglen, Stephen J., Ben Marwick, Yaroslav O. Halchenko, et al.. (2017). Toward standard practices for sharing computer code and programs in neuroscience. Nature Neuroscience. 20(6). 770–773. 63 indexed citations
2.
Grisham, William, Barbara Lom, Linda Lanyon, & Raddy L. Ramos. (2016). Proposed Training to Meet Challenges of Large-Scale Data in Neuroscience. Frontiers in Neuroinformatics. 10. 28–28. 17 indexed citations
3.
Davies-Thompson, Jodie, et al.. (2013). Functional organisation of visual pathways in a patient with no optic chiasm. Neuropsychologia. 51(7). 1260–1272. 13 indexed citations
4.
Lanyon, Linda & Jason J.S. Barton. (2013). Visual Search and Line Bisection in Hemianopia: Computational Modelling of Cortical Compensatory Mechanisms and Comparison with Hemineglect. PLoS ONE. 8(2). e54919–e54919. 6 indexed citations
5.
Sharp, Madeleine, et al.. (2012). Sensitivity and Bias in Decision-Making under Risk: Evaluating the Perception of Reward, Its Probability and Value. PLoS ONE. 7(4). e33460–e33460. 16 indexed citations
6.
Ross, Michael G., et al.. (2011). Human prosaccades and antisaccades under risk: effects of penalties and rewards on visual selection and the value of actions. Neuroscience. 196. 168–177. 7 indexed citations
7.
Scheel, Michael, Linda Lanyon, Deborah Giaschi, & J. J. Barton. (2010). The organization of inter-hemispheric projections from areas 17 and 18 in the human splenium, studied with DTI probabilistic fiber tracking. Journal of Vision. 9(8). 772–772. 1 indexed citations
8.
Lanyon, Linda & Susan L. Denham. (2010). A biased competition computational model of spatial and object-based attention mediating active visual search. Journal of Vision. 3(9). 570–570. 2 indexed citations
9.
Lanyon, Linda & Susan L. Denham. (2010). Modelling Visual Neglect: Computational Insights into Conscious Perception. PLoS ONE. 5(6). e11128–e11128. 9 indexed citations
10.
Lanyon, Linda & Susan L. Denham. (2009). Modelling attention in individual cells leads to a system with realistic saccade behaviours. Cognitive Neurodynamics. 3(3). 223–242. 6 indexed citations
11.
Scheel, Michael, Mathias Abegg, Linda Lanyon, André Mattman, & Jason J.S. Barton. (2009). Eye movement and diffusion tensor imaging analysis of treatment effects in a Niemann–Pick Type C patient. Molecular Genetics and Metabolism. 99(3). 291–295. 19 indexed citations
12.
Lanyon, Linda, Deborah Giaschi, Kevin M. Fitzpatrick, et al.. (2009). Combined Functional MRI and Diffusion Tensor Imaging Analysis of Visual Motion Pathways. Journal of Neuro-Ophthalmology. 29(2). 96–103. 31 indexed citations
13.
Lanyon, Linda. (2009). Strain-related control of bone (re)modeling: objectives, mechanisms and failures.. PubMed. 8(4). 298–300. 13 indexed citations
14.
Lanyon, Linda & Harry Hubball. (2008). Gender Considerations and Innovative Learning-centred Assessment Practices. 2(1). 1 indexed citations
15.
Malcolm, George L., Linda Lanyon, Andrew J.B. Fugard, & Jason J.S. Barton. (2008). Scan patterns during the processing of facial expression versus identity: An exploration of task-driven and stimulus-driven effects. Journal of Vision. 8(8). 2–2. 44 indexed citations
16.
Iaria, Giuseppe, Linda Lanyon, Christopher J. Fox, Deborah Giaschi, & Jason J.S. Barton. (2008). Navigational skills correlate with hippocampal fractional anisotropy in humans. Hippocampus. 18(4). 335–339. 59 indexed citations
17.
Lanyon, Linda & Susan L. Denham. (2005). A MODEL OF SPATIAL AND OBJECT-BASED ATTENTION FOR ACTIVE VISUAL SEARCH. 239–248. 2 indexed citations
18.
Lanyon, Linda & Susan L. Denham. (2004). A biased competition computational model of spatial and object-based attention mediating active visual search. Neurocomputing. 58-60. 655–662. 16 indexed citations
19.
Lanyon, Linda & Susan L. Denham. (2004). A model of active visual search with object-based attention guiding scan paths. Neural Networks. 17(5-6). 873–897. 35 indexed citations
20.

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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