S. Gànesalingam

21 papers and 310 indexed citations i.

About

S. Gànesalingam is a scholar working on Statistics and Probability, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, S. Gànesalingam has authored 21 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Statistics and Probability, 11 papers in Artificial Intelligence and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in S. Gànesalingam’s work include Advanced Statistical Methods and Models (13 papers), Bayesian Methods and Mixture Models (11 papers) and Statistical Methods and Inference (7 papers). S. Gànesalingam is often cited by papers focused on Advanced Statistical Methods and Models (13 papers), Bayesian Methods and Mixture Models (11 papers) and Statistical Methods and Inference (7 papers). S. Gànesalingam collaborates with scholars based in New Zealand, Australia and United States. S. Gànesalingam's co-authors include Geoffrey J. McLachlan, K. Govindaraju, Jose L. Tongzon, Martin L. Hazelton, Siva Ganesh, Charles Lawoko, Graham R. Wood, Brian Corbitt, M.A. Nichols and A. Jonathan R. Godfrey and has published in prestigious journals such as Technometrics, Biometrics and Biometrika.

In The Last Decade

Co-authorship network of co-authors of S. Gànesalingam i

Fields of papers citing papers by S. Gànesalingam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by S. Gànesalingam

Since Specialization
Citations

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

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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