Institution · Turing Institute
Most cited papers from Turing Institute
What are the most cited papers from Turing Institute?
The most cited paper from Turing Institute is "The ethics of algorithms: Mapping the debate" (Brent Mittelstadt, Patrick Allo, Mariarosaria Taddeo et al., 2016), with 3,394 citations. Next come "GPT-3: Its Nature, Scope, Limits, and Consequences" (2,384) and "The CN2 Induction Algorithm" (2,019).
Showing 50 of 59 papers. Every paper with more than 418 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | The ethics of algorithms: Mapping the debate Brent Mittelstadt, Patrick Allo, Mariarosaria Taddeo et al. · Big Data & Society | Dec 2016 | 3,394 |
| 2 | GPT-3: Its Nature, Scope, Limits, and Consequences Luciano Floridi, Massimo Chiriatti · Minds and Machines | Nov 2020 | 2,384 |
| 3 | The CN2 Induction Algorithm Peter A. Clark, Tim Niblett · Machine Learning | Mar 1989 | 2,019 |
| 4 | Principles alone cannot guarantee ethical AI Brent Mittelstadt · Nature Machine Intelligence | 4 Nov 2019 | 1,825 |
| 5 | Networks beyond pairwise interactions: Structure and dynamics Federico Battiston, Giulia Cencetti, Iacopo Iacopini et al. · Physics Reports | 13 Jun 2020 | 1,596 |
| 6 | Eleven grand challenges in single-cell data science David Lähnemann et al. · Genome biology | 7 Feb 2020 | 1,493 |
| 7 | 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 |
| 8 | 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 |
| 9 | 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 |
| 10 | The grand challenges of Science Robotics Guang‐Zhong Yang, Jim Bellingham, Pierre E. Dupont et al. · Science Robotics | 31 Jan 2018 | 1,161 |
| 11 | 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 |
| 12 | 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 |
| 13 | 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 |
| 14 | Inductive logic programming Stephen Muggleton · New Generation Computing | Feb 1991 | 958 |
| 15 | The physics of higher-order interactions in complex systems Federico Battiston, Enrico Amico, Alain Barrat et al. · Nature Physics | Oct 2021 | 956 |
| 16 | Detecting and quantifying causal associations in large nonlinear time series datasets Jakob Runge, Peer Nowack, Marlene Kretschmer et al. · Science Advances | Nov 2019 | 954 |
| 17 | Supply Chain Disruptions: Evidence from the Great East Japan Earthquake* Vasco M. Carvalho, Makoto Nirei, Yukiko Saito et al. · The Quarterly Journal of Economics | 5 Dec 2020 | 949 |
| 18 | Simplicial models of social contagion Iacopo Iacopini, Giovanni Petri, Alain Barrat et al. · Nature Communications | 6 Jun 2019 | 885 |
| 19 | 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 |
| 20 | Rule induction with CN2: Some recent improvements Peter A. Clark, Robin Boswell · Lecture notes in computer science | 1991 | 871 |
| 21 | 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 |
| 22 | Metal 3D printing in construction: A review of methods, research, applications, opportunities and challenges Craig Buchanan, Leroy Gardner · Engineering Structures | 24 Nov 2018 | 825 |
| 23 | 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 |
| 24 | A roadmap for the computation of persistent homology Nina Otter, Mason Alexander Porter, Ulrike Tillmann et al. · EPJ Data Science | 9 Aug 2017 | 779 |
| 25 | 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 |
| 26 | The Polygenic and Monogenic Basis of Blood Traits and Diseases Dragana Vuckovic et al. · Cell | Sep 2020 | 758 |
| 27 | Detecting and quantifying causal associations in large nonlinear time series datasets Runge, J., Nowack, P., Kretschmer, M. et al. · Publication Database PIK (Potsdam Institute for Climate Impact Research (PIK)) | 2019 | 741 |
| 28 | 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 |
| 29 | Detection and Resolution of Rumours in Social Media: A Survey Arkaitz Zubiaga, Ahmet Aker, Kalina Bontcheva et al. · White Rose Research Online (University of Leeds, The University of Sheffield, University of York) | 3 Apr 2017 | 726 |
| 30 | 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 |
| 31 | How AI can be a force for good Mariarosaria Taddeo, Luciano Floridi · Science | 23 Aug 2018 | 711 |
| 32 | 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 |
| 33 | 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 |
| 34 | Transparency and Deliberation Within the FOMC: A Computational Linguistics Approach* Stephen E. Hansen, Michael F. McMahon, Andrea Prat · The Quarterly Journal of Economics | 24 Oct 2017 | 652 |
| 35 | 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 |
| 36 | Detection and Resolution of Rumours in Social Media Arkaitz Zubiaga, Ahmet Aker, Kalina Bontcheva et al. · ACM Computing Surveys | 20 Feb 2018 | 606 |
| 37 | What is data ethics? Luciano Floridi, Mariarosaria Taddeo · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences | 14 Nov 2016 | 599 |
| 38 | 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 |
| 39 | Construction with digital twin information systems Rafael Sacks, Ioannis Brilakis, Ergo Pikas et al. · Data-Centric Engineering | 2020 | 595 |
| 40 | 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 |
| 41 | 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 |
| 42 | The Chinese approach to artificial intelligence: an analysis of policy, ethics, and regulation Huw Roberts, Josh Cowls, Jessica Morley et al. · AI & Society | 17 Jun 2020 | 553 |
| 43 | Estimating excess 1-year mortality associated with the COVID-19 pandemic according to underlying conditions and age: a population-based cohort study Amitava Banerjee, Laura Pasea, Steve K. Harris et al. · The Lancet | May 2020 | 547 |
| 44 | Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image Denis Tomè, Chris Russell, Lourdes Agapito | Jul 2017 | 543 |
| 45 | Recommender systems and their ethical challenges Silvia Milano, Mariarosaria Taddeo, Luciano Floridi · AI & Society | 27 Feb 2020 | 528 |
| 46 | Translating Principles into Practices of Digital Ethics: Five Risks of Being Unethical Luciano Floridi · Philosophy & Technology | 23 May 2019 | 523 |
| 47 | Normalizing single-cell RNA sequencing data: challenges and opportunities Catalina A. Vallejos, Davide Risso, Antonio Scialdone et al. · Nature Methods | 11 May 2017 | 517 |
| 48 | Machine learning and artificial intelligence research for patient benefit: 20 critical questions on transparency, replicability, ethics, and effectiveness Sebastian J. Vollmer, Bilal Akhter Mateen, Gergő Bohner et al. · BMJ | 20 Mar 2020 | 512 |
| 49 | The AI gambit: leveraging artificial intelligence to combat climate change—opportunities, challenges, and recommendations Josh Cowls, Andreas Tsamados, Mariarosaria Taddeo et al. · AI & Society | 18 Oct 2021 | 477 |
| 50 | Natural language processing applied to mental illness detection: a narrative review Tianlin Zhang, Annika Marie Schoene, Shaoxiong Ji et al. · npj Digital Medicine | 8 Apr 2022 | 474 |
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.