Jim Kay

2.7k total citations
52 papers, 1.7k citations indexed

About

Jim Kay is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Statistics and Probability. According to data from OpenAlex, Jim Kay has authored 52 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 13 papers in Cognitive Neuroscience and 11 papers in Statistics and Probability. Recurrent topics in Jim Kay's work include Neural dynamics and brain function (12 papers), Neural Networks and Applications (12 papers) and Statistical Methods and Inference (10 papers). Jim Kay is often cited by papers focused on Neural dynamics and brain function (12 papers), Neural Networks and Applications (12 papers) and Statistical Methods and Inference (10 papers). Jim Kay collaborates with scholars based in United Kingdom, Germany and Australia. Jim Kay's co-authors include D. M. Titterington, William A. Phillips, Peter Hall, Adam Thompson, J. C. Brown, J. Aitchison, Frank Pollick, Kathrin Heim, Rebecca Stringer and Darragh Smyth and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Technometrics and Trends in Cognitive Sciences.

In The Last Decade

Jim Kay

51 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jim Kay United Kingdom 21 513 351 342 252 119 52 1.7k
John A. D. Aston United Kingdom 25 1.2k 2.4× 412 1.2× 308 0.9× 202 0.8× 83 0.7× 107 3.2k
Merlise A. Clyde United States 23 157 0.3× 992 2.8× 657 1.9× 155 0.6× 50 0.4× 53 2.7k
Abraham J. Wyner United States 21 317 0.6× 109 0.3× 774 2.3× 174 0.7× 26 0.2× 46 1.9k
Harald Stögbauer Germany 5 623 1.2× 111 0.3× 846 2.5× 307 1.2× 34 0.3× 6 3.0k
Masa-aki Sato Japan 25 1.2k 2.3× 120 0.3× 819 2.4× 349 1.4× 82 0.7× 113 3.2k
Theodore G. Birdsall United States 23 1.2k 2.3× 145 0.4× 380 1.1× 134 0.5× 315 2.6× 63 3.4k
Jouko Lampinen Finland 17 466 0.9× 98 0.3× 559 1.6× 250 1.0× 121 1.0× 46 1.7k
Morten Mørup Denmark 26 861 1.7× 72 0.2× 470 1.4× 286 1.1× 82 0.7× 123 3.1k
Keith Bush United States 14 346 0.7× 154 0.4× 298 0.9× 41 0.2× 55 0.5× 42 1.7k
Hilbert J. Kappen Netherlands 27 662 1.3× 134 0.4× 1.0k 3.0× 300 1.2× 23 0.2× 101 2.5k

Countries citing papers authored by Jim Kay

Since Specialization
Citations

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

Fields of papers citing papers by Jim Kay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jim Kay

This figure shows the co-authorship network connecting the top 25 collaborators of Jim Kay. A scholar is included among the top collaborators of Jim Kay 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 Jim Kay. Jim Kay 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.
Graham, Bruce, Jim Kay, & William A. Phillips. (2025). Context-Sensitive Processing in a Model Neocortical Pyramidal Cell With Two Sites of Input Integration. Neural Computation. 37(4). 588–634. 1 indexed citations
2.
Ince, Robin A. A., Jim Kay, & Philippe G. Schyns. (2022). Within-participant statistics for cognitive science. Trends in Cognitive Sciences. 26(8). 626–630. 32 indexed citations
3.
Schulz, Jan M., Jim Kay, Josef Bischofberger, & Matthew E. Larkum. (2021). GABAB Receptor-Mediated Regulation of Dendro-Somatic Synergy in Layer 5 Pyramidal Neurons. Frontiers in Cellular Neuroscience. 15. 718413–718413. 15 indexed citations
4.
Wibral, Michael, Viola Priesemann, Jim Kay, Joseph T. Lizier, & William A. Phillips. (2015). Partial information decomposition as a unified approach to the specification of neural goal functions. Brain and Cognition. 112. 25–38. 87 indexed citations
5.
McAleer, Phil, Jim Kay, Frank Pollick, & M. D. Rutherford. (2010). Intention Perception in High Functioning People with Autism Spectrum Disorders Using Animacy Displays Derived from Human Actions. Journal of Autism and Developmental Disorders. 41(8). 1053–1063. 16 indexed citations
6.
Kay, Jim & William A. Phillips. (2010). Coherent Infomax as a Computational Goal for Neural Systems. Bulletin of Mathematical Biology. 73(2). 344–372. 45 indexed citations
7.
Newell, John, Jim Kay, & T Aitchison. (2005). Survival ratio plots with permutation envelopes in survival data problems. Computers in Biology and Medicine. 36(5). 526–541. 1 indexed citations
8.
Pollick, Frank, Jim Kay, Kathrin Heim, & Rebecca Stringer. (2005). Gender recognition from point-light walkers.. Journal of Experimental Psychology Human Perception & Performance. 31(6). 1247–1265. 167 indexed citations
9.
Lee, Kang, Jim Kay, & Byeong Ho Kang. (2002). KAN and RinSCut: Lazy Linear Classifier and Rank-in-Score Threshold in Similarity-Based Text Categorization. International Conference on Machine Learning. 50(5). 36–43. 2 indexed citations
10.
Kay, Jim & D. M. Titterington. (2000). Statistics and neural networks: advances at the interface. Oxford University Press eBooks. 38 indexed citations
11.
McHugh, Elizabeth, Andrew P. Shinn, & Jim Kay. (2000). Discrimination of the notifiable pathogen Gyrodactylus salaris from G. thymalli (Monogenea) using statistical classifiers applied to morphometric data. Parasitology. 121(3). 315–323. 33 indexed citations
12.
Shinn, Andrew P., Jim Kay, & C. Sommerville. (2000). The use of statistical classifiers for the discrimination of species of the genus Gyrodactylus (Monogenea) parasitizing salmonids. Parasitology. 120(3). 261–269. 20 indexed citations
13.
Kay, Jim, Dario Floreano, & William A. Phillips. (1998). Contextually guided unsupervised learning using local multivariate binary processors. Neural Networks. 11(1). 117–140. 60 indexed citations
14.
Salt, C. A., Jim Kay, & Kym E. Jarvis. (1996). Seasonal changes in the distribution of Cs¹³⁷, Cs¹³³ and K in bent grass (agrostis capillaris). ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 2 indexed citations
15.
Smyth, Darragh, William D. Phillips, & Jim Kay. (1996). Measures for investigating the contextual modulation of information transmission. Network Computation in Neural Systems. 7(2). 307–316. 13 indexed citations
16.
Phillips, William A., Jim Kay, & Darragh Smyth. (1995). The discovery of structure by multi-stream networks of local processors with contextual guidance. Network Computation in Neural Systems. 6(2). 225–246. 77 indexed citations
17.
Angus, Robert, S.B. Murray, Jim Kay, Neil C. Thomson, & K R Patel. (1994). Management of chronic airflow obstruction: Differences in practice between respiratory and general physicians. Respiratory Medicine. 88(7). 493–497. 12 indexed citations
18.
Thompson, Adam, J. C. Brown, Jim Kay, & D. M. Titterington. (1991). A study of methods of choosing the smoothing parameter in image restoration by regularization. IEEE Transactions on Pattern Analysis and Machine Intelligence. 13(4). 326–339. 213 indexed citations
19.
McAlpine, Lawrence G., et al.. (1988). A comparison of treatment with metformin and gliclazide in patients with non-insulin-dependent diabetes. European Journal of Clinical Pharmacology. 34(2). 129–132. 15 indexed citations
20.
Kay, Jim & D. M. Titterington. (1986). Image labelling and the statistical analysis of incomplete data. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 9 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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