Colin Aitken
Impact in
- Statistics and Probability top 1%
- Advanced Statistical Methods and Models
- Archeology top 1%
- Cultural Heritage Materials Analysis
Papers in
-
- Advanced Statistical Methods and Models 14
- Statistical Methods and Bayesian Inference 7
- Law 12
- Jury Decision Making Processes 11
- Co-authors
- Franco TaroniD. LucyAlex BiedermannPaolo GarbolinoGrzegorz ZadoraSilvia BozzaMichael ThrusfieldDaniel Ramos
- Journals
- Science & Justice (14 papers)Journal of Forensic Sciences (12 papers)Law Probability and Risk (10 papers)Forensic Science International (9 papers)Journal of the Royal Statistical Society Series C (Applied Statistics) (5 papers)
- Partner nations
- United KingdomSwitzerlandItaly
In The Last Decade
Colin Aitken
95 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 179
- Statistics and Probability 270
- Archeology 229
- Artificial Intelligence 701
- Safety Research 161
- Genetics 536
Countries citing papers authored by Colin Aitken
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
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-authors
The 25 scholars most cited alongside Colin Aitken, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2021 | 9 | |
| 3 | 2019 | 7 | |
| 4 | 2019 | 9 | |
| 5 | 2018 | 12 | |
| 6 | 2018 | 16 | |
| 7 | 2017 | 11 | |
| 8 | 2016 | 22 | |
| 9 | 2016 | 32 | |
| 10 | 2016 | 9 | |
| 11 | 2013 | 11 | |
| 12 | 2013 | 13 | |
| 13 | 2012 | 12 | |
| 14 | 2010 | 17 | |
| 15 | 1999 | 1 | |
| 16 | 1998 | 14 | |
| 17 | Interpretation of scientific evidence. | 1996 | 4 |
| 18 | 1996 | 22 | |
| 19 | 1991 | 17 | |
| 20 | 1989 | 15 |
About Colin Aitken
Colin Aitken is a scholar working on Statistics and Probability, Law, Toxicology, General Decision Sciences and Artificial Intelligence, having authored 97 papers that have together received 2.1k indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (17 papers), Forensic and Genetic Research (15 papers), Advanced Statistical Methods and Models (14 papers), Jury Decision Making Processes (11 papers), Statistical Methods and Bayesian Inference (7 papers), Spectroscopy and Chemometric Analyses (5 papers), Data Quality and Management (5 papers) and Geochemistry and Geologic Mapping (4 papers). The work is most often cited by research in Statistics and Probability (270 citations), Archeology (229 citations), Artificial Intelligence (701 citations), Safety Research (161 citations) and Genetics (536 citations). Colin Aitken has collaborated with scholars based in United Kingdom, Switzerland and Italy. Frequent co-authors include Franco Taroni, D. Lucy, Alex Biedermann, Paolo Garbolino, Grzegorz Zadora, Silvia Bozza, Michael Thrusfield, Daniel Ramos, David J. Hand and William C. Thompson. Their work appears in journals such as Science & Justice, Journal of Forensic Sciences, Law Probability and Risk, Forensic Science International and Journal of the Royal Statistical Society Series C (Applied Statistics).
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.