K. V. Mardia

28 papers and 2.6k indexed citations i.

About

K. V. Mardia is a scholar working on Artificial Intelligence, Statistics and Probability and Geometry and Topology. According to data from OpenAlex, K. V. Mardia has authored 28 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 8 papers in Statistics and Probability and 4 papers in Geometry and Topology. Recurrent topics in K. V. Mardia’s work include Bayesian Methods and Mixture Models (6 papers), Advanced Statistical Methods and Models (4 papers) and Morphological variations and asymmetry (4 papers). K. V. Mardia is often cited by papers focused on Bayesian Methods and Mixture Models (6 papers), Advanced Statistical Methods and Models (4 papers) and Morphological variations and asymmetry (4 papers). K. V. Mardia collaborates with scholars based in United Kingdom and United States. K. V. Mardia's co-authors include D. V. Gokhale, Peter E. Jupp, Tony Greenfield, John Bibby, J. T. Kent, P. E. Jupp, Terence W. Sutton, B. Ramachandran, C. Radhakrishna Rao and Abram Kagan and has published in prestigious journals such as Journal of the American Statistical Association, Biometrics and Journal of Applied Physiology.

In The Last Decade

Co-authorship network of co-authors of K. V. Mardia i

Fields of papers citing papers by K. V. Mardia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. V. Mardia. 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 K. V. Mardia. The network helps show where K. V. Mardia may publish in the future.

Countries citing papers authored by K. V. Mardia

Since Specialization
Citations

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