Most cited papers from The Alan Turing Institute
What are the most cited papers from The Alan Turing Institute?
The most cited paper from The Alan Turing Institute is "AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations" (Luciano Floridi, Josh Cowls, Monica Beltrametti et al., 2018), with 4,502 citations. Next come "TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods" (3,581) and "The ethics of algorithms: Mapping the debate" (3,394).
Showing 50 of 58 papers. Every paper with more than 477 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations Luciano Floridi, Josh Cowls, Monica Beltrametti et al. · Minds and Machines | 25 Nov 2018 | 4,502 |
| 2 | TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods Professor Gary S. Collins et al. · BMJ | 16 Apr 2024 | 3,581 |
| 3 | The ethics of algorithms: Mapping the debate Brent Mittelstadt, Patrick Allo, Mariarosaria Taddeo et al. · Big Data & Society | Dec 2016 | 3,394 |
| 4 | GPT-3: Its Nature, Scope, Limits, and Consequences Luciano Floridi, Massimo Chiriatti · Minds and Machines | Nov 2020 | 2,384 |
| 5 | Brain charts for the human lifespan Richard A. I. Bethlehem et al. · Nature | 6 Apr 2022 | 1,896 |
| 6 | Principles alone cannot guarantee ethical AI Brent Mittelstadt · Nature Machine Intelligence | 4 Nov 2019 | 1,825 |
| 7 | Networks beyond pairwise interactions: Structure and dynamics Federico Battiston, Giulia Cencetti, Iacopo Iacopini et al. · Physics Reports | 13 Jun 2020 | 1,596 |
| 8 | Eleven grand challenges in single-cell data science David Lähnemann et al. · Genome biology | 7 Feb 2020 | 1,493 |
| 9 | Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension Xiaoxuan Liu et al. · Nature Medicine | Sep 2020 | 1,301 |
| 10 | Why a Right to Explanation of Automated Decision-Making Does Not Exist in the General Data Protection Regulation Sandra Wachter, Brent Mittelstadt, Luciano Floridi · International Data Privacy Law | 11 Apr 2017 | 1,266 |
| 11 | Raincloud plots: a multi-platform tool for robust data visualization Micah Allen, Davide Poggiali, Kirstie Jane Whitaker et al. · Wellcome Open Research | Apr 2019 | 1,238 |
| 12 | Variability in the analysis of a single neuroimaging dataset by many teams Rotem Botvinik‐Nezer et al. · Nature | 20 May 2020 | 1,226 |
| 13 | Bayesian statistics and modelling Rens van de Schoot, Sarah A. Depaoli, Ruth M. King et al. · Nature Reviews Methods Primers | 14 Jan 2021 | 1,219 |
| 14 | Networks beyond pairwise interactions: Structure and dynamics Battiston, F, Cencetti, G, Iacopini, I et al. · UCL Discovery (University College London) | 25 Aug 2020 | 1,219 |
| 15 | The grand challenges of Science Robotics Guang‐Zhong Yang, Jim Bellingham, Pierre E. Dupont et al. · Science Robotics | 31 Jan 2018 | 1,161 |
| 16 | Digital labour and development: impacts of global digital labour platforms and the gig economy on worker livelihoods Mark J Graham, Isis Hjorth, Vili Lehdonvirta · Transfer European Review of Labour and Research | 16 Mar 2017 | 1,070 |
| 17 | Use of directed acyclic graphs (DAGs) to identify confounders in applied health research: review and recommendations Peter W. G. Tennant, Eleanor J. Murray, Kellyn F Arnold et al. · International Journal of Epidemiology | 12 Oct 2020 | 1,065 |
| 18 | The ethics of AI in health care: A mapping review Jessica Morley, Caio C. Vieira Machado, Christopher Burr et al. · Social Science & Medicine | 15 Jul 2020 | 1,042 |
| 19 | The physics of higher-order interactions in complex systems Federico Battiston, Enrico Amico, Alain Barrat et al. · Nature Physics | Oct 2021 | 956 |
| 20 | Genome-wide association and Mendelian randomisation analysis provide insights into the pathogenesis of heart failure Sonia H Shah et al. · Nature Communications | 9 Jan 2020 | 944 |
| 21 | Association of Lifestyle and Genetic Risk With Incidence of Dementia Ilianna Lourida, Eilis J. Hannon, Thomas J. Littlejohns et al. · JAMA | 14 Jul 2019 | 927 |
| 22 | Simplicial models of social contagion Iacopo Iacopini, Giovanni Petri, Alain Barrat et al. · Nature Communications | 6 Jun 2019 | 885 |
| 23 | Counterfactual Fairness Matt J. Kusner, Joshua R. Loftus, Chris Russell et al. · arXiv (Cornell University) | 20 Mar 2017 | 876 |
| 24 | Risk of mortality in patients infected with SARS-CoV-2 variant of concern 202012/1: matched cohort study Robert Challen, Ellen Brooks‐Pollock, Jonathan Michael Read et al. · BMJ | 9 Mar 2021 | 871 |
| 25 | Genomic Risk Prediction of Coronary Artery Disease in 480,000 Adults Michael Inouye et al. · Journal of the American College of Cardiology | Oct 2018 | 866 |
| 26 | From What to How: An Initial Review of Publicly Available AI Ethics Tools, Methods and Research to Translate Principles into Practices Jessica Morley, Luciano Floridi, Libby Kinsey et al. · Science and Engineering Ethics | 11 Dec 2019 | 861 |
| 27 | HyPhy 2.5—A Customizable Platform for Evolutionary Hypothesis Testing Using Phylogenies Sergei L. Kosakovsky Pond, Art F. Y. Poon, Ryan Velazquez et al. · Molecular Biology and Evolution | 25 Aug 2019 | 838 |
| 28 | Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI Baptiste Vasey et al. · Nature Medicine | May 2022 | 837 |
| 29 | A Perspective on Explainable Artificial Intelligence Methods: SHAP and LIME Ahmed Salih, Zahra Raisi‐Estabragh, Ilaria Boscolo Galazzo et al. · Advanced Intelligent Systems | 27 Jun 2024 | 814 |
| 30 | A roadmap for the computation of persistent homology Nina Otter, Mason Alexander Porter, Ulrike Tillmann et al. · EPJ Data Science | 9 Aug 2017 | 779 |
| 31 | The Polygenic Score Catalog as an open database for reproducibility and systematic evaluation Samuel A. Lambert, Laurent Gil, Simon Jupp et al. · Nature Genetics | 10 Mar 2021 | 773 |
| 32 | Explaining Explanations in AI Brent Mittelstadt, Chris Russell, Sandra Wachter | 9 Jan 2019 | 767 |
| 33 | The Polygenic and Monogenic Basis of Blood Traits and Diseases Dragana Vuckovic et al. · Cell | Sep 2020 | 758 |
| 34 | Governing artificial intelligence: ethical, legal and technical opportunities and challenges Corinne Cath · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences | 15 Oct 2018 | 734 |
| 35 | Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension Samantha Cruz Rivera et al. · Nature Medicine | Sep 2020 | 726 |
| 36 | Artificial Intelligence and the ‘Good Society’: the US, EU, and UK approach Corinne Cath, Sandra Wachter, Brent Mittelstadt et al. · Science and Engineering Ethics | 28 Mar 2017 | 712 |
| 37 | How AI can be a force for good Mariarosaria Taddeo, Luciano Floridi · Science | 23 Aug 2018 | 711 |
| 38 | AI in Medical Imaging Informatics: Current Challenges and Future Directions Andreas S. Panayides, Amir A. Amini, Nenad Filipović et al. · IEEE Journal of Biomedical and Health Informatics | 29 May 2020 | 709 |
| 39 | Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle Nuria Oliver et al. · Science Advances | 27 Apr 2020 | 694 |
| 40 | Estimating the overdispersion in COVID-19 transmission using outbreak sizes outside China Akira Endo, Sam Abbott, Adam J. Kucharski et al. · Wellcome Open Research | 10 Jul 2020 | 675 |
| 41 | Ethnic and regional variations in hospital mortality from COVID-19 in Brazil: a cross-sectional observational study P. O. Baqui, Ioana Bica, Valerio Marra et al. · The Lancet Global Health | 2 Jul 2020 | 668 |
| 42 | Towards clinical utility of polygenic risk scores Samuel A. Lambert, Gad Abraham, Michael Inouye · Human Molecular Genetics | 25 Jul 2019 | 660 |
| 43 | Mapping the NFT revolution: market trends, trade networks, and visual features Matthieu Nadini, Laura Alessandretti, Flavio Di Giacinto et al. · Scientific Reports | 22 Oct 2021 | 656 |
| 44 | Cardiovascular disease risk prediction using automated machine learning: A prospective study of 423,604 UK Biobank participants Ahmed M. Alaa, Thomas Bolton, Emanuele Di Angelantonio et al. · PLoS ONE | 15 May 2019 | 634 |
| 45 | DeepHit: A Deep Learning Approach to Survival Analysis With Competing Risks Changhee Lee, William R. Zame, Jinsung Yoon et al. · Proceedings of the AAAI Conference on Artificial Intelligence | 26 Apr 2018 | 619 |
| 46 | Machine learning and structural health monitoring overview with emerging technology and high-dimensional data source highlights Arman Malekloo, Ekin Özer, Mohammad H. AlHamaydeh et al. · Structural Health Monitoring | 16 Aug 2021 | 597 |
| 47 | Combined effects of host genetics and diet on human gut microbiota and incident disease in a single population cohort Youwen Qin et al. · Nature Genetics | Feb 2022 | 596 |
| 48 | Construction with digital twin information systems Rafael Sacks, Ioannis Brilakis, Ergo Pikas et al. · Data-Centric Engineering | 2020 | 595 |
| 49 | Evolutionary dynamics of higher-order interactions in social networks Unai Alvarez-Rodriguez, Federico Battiston, Guilherme Ferraz de Arruda et al. · Nature Human Behaviour | 4 Jan 2021 | 577 |
| 50 | Digital Twins: State of the art theory and practice, challenges, and open research questions Angira Sharma, Edward Elson Kosasih, Jie Zhang et al. · Journal of Industrial Information Integration | 8 Aug 2022 | 561 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for an institution when any of its authors gave it as an affiliation; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.