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M. G. Kendall

M. G. Kendall publishes mostly in Statistics and Probability, Artificial Intelligence and Geometry and Topology, on topics such as Time Series Analysis and Forecasting, Statistics Education and Methodologies and Mathematics and Applications.

World rank
#1,353
of 1,633,909 ranked researchers
Rank in United Kingdom
#98
of 90,785
Works
89
Citations
1.8k
Citations per work
19.9

What does M. G. Kendall research?

Statistics and Probability: 25.4%Artificial Intelligence: 11.1%Geometry and Topology: 7.9%Signal Processing: 7.9%other fields: 47.7%25%top field
Statistics and Probability25.4%Artificial Intelligence11.1%Geometry and Topology7.9%Signal Processing7.9%other fields47.7%

Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.

  1. 1Statistics and Probability25% of their works
  2. 2Artificial Intelligence11% of their works
  3. 3Geometry and Topology8% of their works
  4. 4Signal Processing8% of their works
  5. 5Management Science and Operations Research6% of their works
  6. 6Sociology and Political Science5% of their works

Research topics

Which keywords describe M. G. Kendall's research?

The keywords of their largest research topics: Clustering, Bayesian Inference, Data Science, Dynamic Time Warping, Mixture Models, Statistics Anxiety, Time Series and Geometry.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.

All 21 words, with their numbers
  1. Clustering72 topics
  2. Bayesian Inference52 topics
  3. Data Science51 topic
  4. Dynamic Time Warping51 topic
  5. Mixture Models52 topics
  6. Statistics Anxiety51 topic
  7. Time Series51 topic
  8. Geometry41 topic
  9. Hyperbolic41 topic
  10. Principal Component Analysis42 topics
  11. Regression Analysis42 topics
  12. Capture-Recapture31 topic
  13. Generalized Exponential31 topic
  14. Population Size Estimation31 topic
  15. Skew Distributions31 topic
  16. Dirichlet Process21 topic
  17. Gaussian Mixture Models21 topic
  18. Machine Learning21 topic
  19. Multicollinearity21 topic
  20. Multivariate Analysis21 topic
  21. Outlier Detection21 topic

Where does M. G. Kendall work?

M. G. Kendall's main affiliation in the publication record is London School of Economics and Political Science, United Kingdom.

How many publications and citations does M. G. Kendall have?

Science Explorer counts 89 works and 1,773 citations for M. G. Kendall, ranking #1,353 of 1,633,909 researchers worldwide on the composite score.

Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics are in the interactive view on the map. Is this your page? Request a correction or removal.