J. Kenneth Tay

885 citations
6 papers · 456 indexed · 1 hit paper · h-index 6
Topics
Statistical Methods and Inference (2 papers)Gastrointestinal Bleeding Diagnosis and Treatment (2 papers)Statistical Methods and Bayesian Inference (1 paper)

In The Last Decade

J. Kenneth Tay

6 papers receiving 450 citations

Hit Papers

Elastic Net Regularization Paths for All Generalized Line...2023202620242025202350100150200250

Peers

J. Kenneth Tay
Comparison fields: 5 of 141
  • Gastroenterology 71
  • Molecular Biology 69
  • Surgery 69
  • Pulmonary and Respiratory Medicine 62
  • Oncology 59
Replace Harshit Garg with:
Harshit Garg India
Chen Cui China
Heming Yao United States
Dušan Popović Serbia
Shefali S. Verma United States
Stephen T. Vernon Australia
Xijie Chen China
Tetsuo Ishikawa Japan
Kemal Hakan Gülkesen Türkiye
Jacqueline Corrigan‐Curay United States
J. Kenneth Tay relative to Harshit Garg India Harshit Garg's profile →
Citations per field
00.5×1.5×2.2×
Harshit Garg · 1×
Citations per year

Countries citing papers authored by J. Kenneth Tay

Since Specialization
Citations

This map shows the geographic impact of J. 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 J. 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 J. Kenneth Tay more than expected).

Fields of papers citing papers by J. Kenneth Tay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Kenneth Tay

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

All Works

6 of 6 papers shown
#WorkIndexed citations
1
Elastic Net Regularization Paths for All Generalized Linear Modelsbreakdown →
271
2 21
3 8
4 8
5 16
6 132

About J. Kenneth Tay

J. Kenneth Tay is a scholar working on Gastroenterology, Statistics and Probability and Health Information Management, having authored 6 papers that have together received 456 indexed citations. Recurring topics across this work include Statistical Methods and Inference (2 papers), Gastrointestinal Bleeding Diagnosis and Treatment (2 papers) and Statistical Methods and Bayesian Inference (1 paper). The work is most often cited by research in Health Informatics (21 citations), Gastroenterology (71 citations) and Statistics and Probability (26 citations). J. Kenneth Tay has collaborated with scholars based in United States, Denmark and United Kingdom. Frequent co-authors include Trevor Hastie, Balasubramanian Narasimhan, Loren Laine, Dennis Shung, Michael Schultz, Adrian J. Stanley, Harry R. Dalton, Jeffrey Ngu, Richard A. Taylor and Stig Borbjerg Laursen. Their work appears in journals such as Gastroenterology, Scientific Reports and Journal of Statistical Software.

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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