Colin Aitken

1.5k citations
9 papers · 1.0k indexed · h-index 7
Topics
Statistics Education and Methodologies (3 papers)Advanced Statistical Methods and Models (3 papers)Statistical Methods and Inference (2 papers)
Partner nations
United Kingdom

In The Last Decade

Colin Aitken

9 papers receiving 944 citations

Peers

Colin Aitken
Comparison fields: 5 of 140
  • Artificial Intelligence 301
  • Statistics and Probability 261
  • Genetics 221
  • Economics and Econometrics 112
  • Computer Vision and Pattern Recognition 93
Replace Paolo Garbolino with:
Paolo Garbolino Italy
Silvia Bozza Switzerland
Alex Biedermann Switzerland
C.M. Triggs New Zealand
Julia Mortera Italy
Rolf E. Bargmann United States
Stephen E. Fienberg United States
Marc R. Forster United States
Calyampudi Radhakrishna Rao United States
David R. Bellhouse Canada
Colin Aitken relative to Paolo Garbolino Italy Paolo Garbolino's profile →
Citations per field
00.5×6.9×
Paolo Garbolino · 1×
Citations per year

Countries citing papers authored by Colin Aitken

Since Specialization
Citations

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

Fields of papers citing papers by Colin Aitken

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Colin Aitken

This figure shows the co-authorship network connecting the top 25 collaborators of Colin Aitken. A scholar is included among the top collaborators of Colin Aitken 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 Colin Aitken. Colin Aitken is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1
Evidence evaluation for hierarchical, longitudinal, binary data using a distance measure
1
2
Fundamentals of probability and statistical evidence in criminal proceedings: guidance for judges, lawyers, forensic scientists and expert witnesses
46
3 387
4 14
5 46
6 124
7 3
8 21
9 375

About Colin Aitken

Colin Aitken is a scholar working on Statistics and Probability, Artificial Intelligence and Genetics, having authored 9 papers that have together received 1.0k indexed citations. Recurring topics across this work include Statistics Education and Methodologies (3 papers), Advanced Statistical Methods and Models (3 papers) and Statistical Methods and Inference (2 papers). The work is most often cited by research in Statistics and Probability (261 citations), Artificial Intelligence (301 citations) and Safety Research (73 citations). Colin Aitken has collaborated with scholars based in United Kingdom. Frequent co-authors include Franco Taroni, J. Aitchison, David A. Stoney, mw, Graham Jackson, Paul Roberts, J. Stewart Aitchison and Cheng‐Chieh Huang. Their work appears in journals such as Journal of the American Statistical Association, Biometrika and Law Probability and Risk.

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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