John Robinson

4.5k citations
139 papers · 3.2k · 2 hit papers · h-index 24

Impact in

Papers in

    • Statistical Methods and Inference 19
    • Statistical Distribution Estimation and Applications 18
    • Statistical Methods and Bayesian Inference 14
    • Advanced Statistical Methods and Models 14
    • Bayesian Methods and Mixture Models 19

John Robinson

130 papers receiving 3.0k citations

John Robinson's Hit Papers

Generalized discriminant analysis based on distances 2003 · 623 citations
6230+17+34Years since publication200400600

Peers

John Robinson
Comparison fields: 5 of 202
  • Statistics and Probability 547
  • Paleontology 193
  • Oceanography 312
  • Ecology 566
  • Nature and Landscape Conservation 249
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John Robinson relative to Peter Sprent United Kingdom Peter Sprent's profile →
Citations per field
00.5×10×13×
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Citations per year

Countries citing papers authored by John Robinson

Since Specialization
Citations

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

Fields of papers citing papers by John Robinson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside John Robinson, 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 John Robinson Line = papers co-authored together John Robinson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 139 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Generalized discriminant analysis based on distances
Hit paper breakdown →
2003623
2 2001418
3
An Introduction to the Theory of Statistics
Hit paper breakdown →
1974391
4 2004208
5 200685
6 198283
7 199460
8 197654
9 199249
10 201448
11 200844
12 198542
13 197040
14 200537
15 199436
16 199734
17 197834
18 201032
19 200332
20 198929

About John Robinson

John Robinson is a scholar working on Statistics and Probability, Artificial Intelligence, Management Science and Operations Research, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 139 papers that have together received 3.2k indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (19 papers), Statistical Methods and Inference (19 papers), Statistical Distribution Estimation and Applications (18 papers), Statistical Methods and Bayesian Inference (14 papers), Advanced Statistical Methods and Models (14 papers), Genomics and Phylogenetic Studies (12 papers), Probability and Risk Models (11 papers) and Genetic diversity and population structure (8 papers). The work is most often cited by research in Statistics and Probability (547 citations), Paleontology (193 citations), Oceanography (312 citations), Ecology (566 citations) and Nature and Landscape Conservation (249 citations). John Robinson has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include Marti J. Anderson, R. L. Plackett, Lars S. Jermiin, Faisal Ababneh, W.G. Gibson, M. P. Quine, Vivek Jayaswal, Maxwell R. Bennett, Simon Y. W. Ho and Anthony W. D. Larkum. Their work appears in journals such as The Annals of Statistics, The Annals of Probability, Systematic Biology, Journal of Statistical Planning and Inference and Journal of Multivariate Analysis.

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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