Kenneth Tay

494 total citations
2 papers, 36 citations indexed

About

Kenneth Tay is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Infectious Diseases. According to data from OpenAlex, Kenneth Tay has authored 2 papers receiving a total of 36 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Statistical and Nonlinear Physics, 1 paper in Artificial Intelligence and 0 papers in Infectious Diseases. Recurrent topics in Kenneth Tay's work include Neural Networks and Applications (1 paper), Model Reduction and Neural Networks (1 paper) and Gaussian Processes and Bayesian Inference (1 paper). Kenneth Tay is often cited by papers focused on Neural Networks and Applications (1 paper), Model Reduction and Neural Networks (1 paper) and Gaussian Processes and Bayesian Inference (1 paper). Kenneth Tay collaborates with scholars based in United States. Kenneth Tay's co-authors include Trevor Hastie, Rob Tibshirani, Balasubramanian Narasimhan, Noah Simon, Jerome H. Friedman, Loren Laine, Michael Schultz, Jing Hieng Ngu, Dennis Shung and Richard A. Taylor and has published in prestigious journals such as Gastroenterology.

In The Last Decade

Kenneth Tay

2 papers receiving 36 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kenneth Tay United States	2	8	6	4	4	4	2	36
Li An Lin China	2	5 0.6×	11 1.8×				3	23
Anne Ciecko Australia	2	8 1.0×	2 0.3×	6 1.5×		2 0.5×	2	17
William R. Orchard United Kingdom	3	25 3.1×		4 1.0×	3 0.8×	5 1.3×	3	32
Bokang Rabasha United States	2	12 1.5×				4 1.0×	2	24
Trevor S. Frisby United States	3	10 1.3×	1 0.2×	5 1.3×	4 1.0×	1 0.3×	4	20
Ian Maurer United States	2	7 0.9×	2 0.3×		1 0.3×		2	14
Élise Larsonneur France	2	9 1.1×		2 0.5×	2 0.5×	1 0.3×	4	28
Rachel Chernet United States	3	9 1.1×		2 0.5×	3 0.8×		4	19
Éva Somogyiné Ezer Hungary	3	7 0.9×			2 0.5×		5	14
Jonathan Romano United States	2	8 1.0×		2 0.5×	3 0.8×		2	15

Countries citing papers authored by Kenneth Tay

Since Specialization

Citations

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

Fields of papers citing papers by Kenneth Tay

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenneth Tay

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

All Works

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2 of 2 papers shown

1.

Friedman, Jerome H., Trevor Hastie, Rob Tibshirani, et al.. (2021). Lasso and Elastic-Net Regularized Generalized Linear Models [R package glmnet version 4.1-1]. 35 indexed citations

2.

Shung, Dennis, Richard A. Taylor, Kenneth Tay, et al.. (2019). 325 – Development and Validation of Machine Learning Models to Predict Outcomes in Ugib with Comparison to Clinical Risk Scores. Gastroenterology. 156(6). S–64. 1 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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