M. Knott

8.4k citations
68 papers · 6.4k · 3 hit papers · h-index 17

Impact in

Papers in

M. Knott

61 papers receiving 6.0k citations

M. Knott's Hit Papers

Latent Variable Models and Factor Analysis 2011 · 488 citations
4880+17+34Years since publication50010001.5k2.0k

Peers

M. Knott
Comparison fields: 5 of 226
  • Statistics and Probability 977
  • Management Science and Operations Research 483
  • Plant Science 1.3k
  • Soil Science 288
  • Software 118
Replace Andrea Johnson with:
Andrea Johnson United States
Dean W. Wichern United States
Russell V. Lenth United States
Olive Jean Dunn United States
R. W. M. Wedderburn United States
Gerald J. Hahn United States
John M. Chambers United States
Adrienne W. Kemp United Kingdom
William G. Madow United States
G. M. Clarke Australia
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Citations per field
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Citations per year

Countries citing papers authored by M. Knott

Since Specialization
Citations

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

Fields of papers citing papers by M. Knott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M. Knott, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. Knott Line = papers co-authored together M. Knott links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Nonparametric Statistical Methods.
Hit paper breakdown →
19742414
2
A Cluster Analysis Method for Grouping Means in the Analysis of Variance
Hit paper breakdown →
19742018
3
Latent Variable Models and Factor Analysis
Hit paper breakdown →
2011488
4 2011333
5 2000181
6 1972174
7 1984152
8 198072
9 197565
10 200060
11 197560
12 199240
13 198739
14 199426
15 199622
16 199121
17 198618
18 198516
19 197416
20 197516

About M. Knott

M. Knott is a scholar working on Statistics and Probability, Electrical and Electronic Engineering, Aerospace Engineering, Nuclear and High Energy Physics and Management Science and Operations Research, having authored 68 papers that have together received 6.4k indexed citations. Recurring topics across this work include Particle Accelerators and Free-Electron Lasers (15 papers), Advanced Statistical Methods and Models (11 papers), Particle accelerators and beam dynamics (10 papers), Statistical Methods and Bayesian Inference (10 papers), Statistical Methods and Inference (9 papers), Superconducting Materials and Applications (6 papers), Magnetic confinement fusion research (6 papers) and Bayesian Methods and Mixture Models (6 papers). The work is most often cited by research in Statistics and Probability (977 citations), Management Science and Operations Research (483 citations), Plant Science (1.3k citations), Soil Science (288 citations) and Software (118 citations). M. Knott has collaborated with scholars based in United Kingdom, United States and Brazil. Frequent co-authors include A.J. Scott, Douglas A. Wolfe, Myles Hollander, Irini Moustaki, David J. Bartholomew, Cyril Stanley Smith, J. Durbin, J. S. Maritz, Jane Galbraith and L.R. Turner. Their work appears in journals such as IEEE Transactions on Nuclear Science, Journal of Multivariate Analysis, Biometrika, Journal of the Royal Statistical Society Series B (Statistical Methodology) and Psychometrika.

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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