K. V. Mardia

4.5k total citations · 2 hit papers
30 papers, 3.4k citations indexed

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 30 papers receiving a total of 3.4k 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, Abram Kagan, Yu. V. Linnik and R. Bremananth and has published in prestigious journals such as Journal of the American Statistical Association, Biometrics and Journal of Applied Physiology.

In The Last Decade

K. V. Mardia

29 papers receiving 3.0k citations

Hit Papers

Statistics of Directional Data. 1973 2026 1990 2008 1973 1974 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K. V. Mardia United Kingdom 13 609 552 441 339 249 30 3.4k
Peter E. Jupp United Kingdom 17 566 0.9× 1.0k 1.9× 421 1.0× 461 1.4× 366 1.5× 60 4.6k
Robert F. Ling United States 27 1.4k 2.2× 996 1.8× 365 0.8× 219 0.6× 296 1.2× 57 6.9k
Frank E. Grubbs United States 17 925 1.5× 904 1.6× 269 0.6× 172 0.5× 64 0.3× 32 5.9k
Peter Bloomfield United States 31 693 1.1× 406 0.7× 183 0.4× 463 1.4× 133 0.5× 81 6.5k
Geoffrey S. Watson United States 21 1.2k 1.9× 829 1.5× 912 2.1× 405 1.2× 571 2.3× 50 7.7k
Hubert W. Lilliefors United States 4 591 1.0× 517 0.9× 349 0.8× 322 0.9× 135 0.5× 7 5.4k
T. Lewis Australia 23 1.1k 1.8× 1.5k 2.7× 171 0.4× 274 0.8× 271 1.1× 61 5.7k
Graham Upton United Kingdom 35 471 0.8× 329 0.6× 111 0.3× 462 1.4× 112 0.4× 175 4.6k
W. J. Krzanowski United Kingdom 36 1.3k 2.1× 1.5k 2.7× 343 0.8× 229 0.7× 65 0.3× 168 7.0k
V. Barnett United Kingdom 23 1.5k 2.5× 1.6k 2.9× 135 0.3× 303 0.9× 123 0.5× 60 6.0k

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).

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.

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

This figure shows the co-authorship network connecting the top 25 collaborators of K. V. Mardia. A scholar is included among the top collaborators of K. V. Mardia 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 K. V. Mardia. K. V. Mardia 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.
Mardia, K. V. & Jochen Voß. (2014). Some Fundamental Properties of Multivariate von Mises Distributions. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 1 indexed citations
2.
Southworth, R. B., K. V. Mardia, & Charles Taylor. (2000). Transformation- and label-invariant neural network for the classification of landmark data. Journal of Applied Statistics. 27(2). 205–215. 1 indexed citations
3.
Mardia, K. V.. (1999). Estimation of torsion. Journal of Applied Statistics. 26(3). 373–381. 6 indexed citations
4.
Mardia, K. V., et al.. (1996). On statistical problems with face identification from photographs. Journal of Applied Statistics. 23(6). 655–676. 28 indexed citations
5.
Mills, Terence C. & K. V. Mardia. (1992). The Art of Statistical Science: A Tribute to G. S. Watson.. Journal of the Royal Statistical Society Series A (Statistics in Society). 155(3). 475–475. 18 indexed citations
6.
Read, Campbell B. & K. V. Mardia. (1992). The Art of Statistical Science: A Tribute to G. S. Watson.. Biometrics. 48(4). 1297–1297. 4 indexed citations
7.
Jupp, Peter E. & K. V. Mardia. (1989). A Unified View of the Theory of Directional Statistics, 1975-1988. International Statistical Review. 57(3). 261–261. 88 indexed citations
8.
Mardia, K. V., et al.. (1983). Statistics of response slopes. Journal of Applied Physiology. 54(1). 309–313. 6 indexed citations
9.
Jupp, Peter E. & K. V. Mardia. (1982). A Characterization of the Multivariate Pareto Distribution. The Annals of Statistics. 10(3). 12 indexed citations
10.
Mardia, K. V. & Robert D. Edwards. (1982). Weighted distributions and rotating caps. Biometrika. 69(2). 323–330. 6 indexed citations
11.
Greenfield, Tony, K. V. Mardia, J. T. Kent, & John Bibby. (1981). Multivariate Analysis.. Journal of the Royal Statistical Society Series C (Applied Statistics). 30(2). 178–178. 169 indexed citations
12.
Mardia, K. V., et al.. (1980). A Statistical Analysis of Megalithic Data Under Elliptic Pattern. Journal of the Royal Statistical Society Series A (General). 143(3). 293–293. 11 indexed citations
13.
Kent, John T., K. V. Mardia, & J. S. Rao. (1979). A Characterization of the Uniform Distribution on the Circle. The Annals of Statistics. 7(4). 11 indexed citations
14.
Mardia, K. V. & Madan L. Puri. (1978). A spherical correlation coefficient robust against scale. Biometrika. 65(2). 391–395. 12 indexed citations
15.
Jupp, P. E. & K. V. Mardia. (1978). Density-Preserving Statistics and Densities for Sample Means. The Annals of Probability. 6(4). 3 indexed citations
16.
Mardia, K. V., et al.. (1977). A Small Circle of Best Fit for Spherical Data and Areas of Vulcanism. Journal of the Royal Statistical Society Series C (Applied Statistics). 26(3). 238–238. 40 indexed citations
17.
Mardia, K. V., Abram Kagan, Yu. V. Linnik, C. Radhakrishna Rao, & R. Bremananth. (1976). Characterization Problems in Mathematical Statistics.. Journal of the Royal Statistical Society Series D (The Statistician). 25(1). 75–75. 53 indexed citations
18.
Mardia, K. V. & Terence W. Sutton. (1975). On the modes of a mixture of two von Mises distributions. Biometrika. 62(3). 699–701. 31 indexed citations
19.
Gokhale, D. V. & K. V. Mardia. (1973). Statistics of Directional Data.. Biometrics. 29(3). 607–607. 2052 indexed citations breakdown →
20.
Mardia, K. V.. (1965). Tippett’s formulas and other results on sample range and extremes. Annals of the Institute of Statistical Mathematics. 17(1). 85–91. 5 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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