United Kingdom
Country49 institutions in 26 agglomerations · all countries
About
Profile
This section covers research institutions based in the United Kingdom whose scientists wrote more than one of the papers held in this library. The list mixes universities, company laboratories, independent research institutes and one nonprofit. Each is placed by the cited work its researchers produced while affiliated with it. The British entries are one part of a wider directory of institutions of every kind on the site, and they describe only the papers collected here. They are not a census of British science.
The list is broad in kind and in place. Most entries are universities, ranging from large, long-established institutions to newer and more regional ones. Alongside them sit the British arms of several large technology companies, two research institutes and a cultural organisation. Together they give a view of where, among the works in our library, research with British affiliations has come from and how widely it has been taken up.
How the list is ordered
Institutions are ranked by the cited work their scientists did there. The ranking is therefore not a simple tally of output, and it is not a plain ordering by total citations either. An institution that produced relatively few papers can sit high if those papers were heavily used, and one with a large body of work can sit lower if that work was cited less. Reading the list with this in mind shows two distinct patterns: some institutions contribute steadily across many papers, while others are represented mainly by a small number of very widely cited ones.
Only work done at the named institution counts towards its place. A researcher who moved between universities or between a university and a company contributes to each separately, according to where the work was done.
Leading institutions
The list opens with Google DeepMind, a company based in London. Its position rests on a body of work that is modest in size compared with the largest university entries but has been cited very widely. It is the only company entry to rank above the major universities, which makes it the clearest case on this site of industrial research at the top of the British list.
The University of Oxford comes second. Its papers have drawn the largest total of citations of any British institution here, even though its output on the site is far smaller than that of several other universities. This suggests that a few of its works have been used especially heavily.
The University of Cambridge is third. It combines a substantial number of papers with a very large citation total, which gives it both breadth and reach among the works collected here.
The University of Edinburgh follows in fourth place. It has more papers on the site than any other British institution. Its citation total is lower than those of Oxford or Cambridge but still among the highest in the country. Edinburgh's entry is the strongest example in the list of contribution through sustained volume.
University College London ranks fifth. It is followed by Meta (United Kingdom), the London arm of the technology company, and then by the University of Sheffield. Sheffield is notable for producing more papers here than either of the two entries just above it.
Further down the upper part of the list are Microsoft Research in Cambridge, Nvidia (United Kingdom) in Reading, and the University of Wolverhampton. Wolverhampton's place reflects a sizeable body of work for a university of its profile on this site. They are followed by Imperial College London, The Alan Turing Institute and the University of Manchester. Manchester's papers are not numerous here, but they have collected a large citation total.
Universities across the country
Universities make up the great majority of the list, and they vary widely in how they appear. Some are represented by a broad spread of papers. Besides Edinburgh, Cambridge and Sheffield, these include Queen Mary University of London, the University of Essex in Colchester and the University of Leeds. Each has a fair number of papers on the site but more moderate citation totals, so their places reflect steady contribution rather than a few heavily cited works.
Other universities show the opposite pattern. The University of Birmingham has only a handful of papers here, yet its citation total is among the very highest in the country, second only to the leading entries. This points to one or a few exceptionally widely cited works. Heriot-Watt University in Edinburgh and the University of Stirling show the same imbalance on a smaller scale, with few papers but strong uptake. SOAS University of London is similar, as is the University of York, whose papers have been cited well beyond what their number alone would suggest.
A middle group of London universities includes King's College London and the University of London. Both contribute a moderate number of papers with more limited citation. Outside the capital, the University of Sussex and the University of Brighton both appear under Brighton. Lancaster University, Cardiff University and the University of Aberdeen each hold a place in the middle of the ranking.
Further down are universities with a smaller presence on the site. They include the University of Glasgow, the University of Liverpool, the University of Warwick in Coventry and the University of Surrey in Guildford. The University of Bristol, Newcastle University, Durham University and The Open University in Milton Keynes belong to the same group. Towards the end of the list come Aston University in Birmingham, the University of Exeter and Queen's University Belfast. They are joined by the University of Hertfordshire in Hatfield, Bournemouth University, listed under Poole, the University of St Andrews and the University of Ulster in Coleraine. For these institutions, the library holds only a few papers so far, and their places may change as more work is added.
Companies and industrial laboratories
Company laboratories are a distinctive feature of the British entries. Several of them rank high on the strength of relatively small bodies of cited work. Google DeepMind heads the whole list. Meta (United Kingdom) has more papers on the site than several universities ranked near it. Microsoft Research in Cambridge and Nvidia (United Kingdom) in Reading both sit in the upper part of the ranking despite a limited number of papers.
Other corporate entries appear lower down. Google (United Kingdom) is listed separately from Google DeepMind, and Microsoft (United Kingdom) in Reading is listed separately from Microsoft Research. As a result, two large companies each appear twice under different organisational names. Systems, Applications & Products in Data Processing, listed under London, contributes a few papers with solid citation. Sharp Laboratories of Europe in Oxford is the only electronics manufacturer's research laboratory in the list.
Taken together, these entries show that a notable share of the most cited British-affiliated work in our library comes from industry rather than from universities. They also show that the major technology companies' British operations are concentrated in a few places, chiefly London, Cambridge and Reading.
Research institutes and other bodies
Two research institutes appear. The Alan Turing Institute in London holds a place in the upper half of the list, with a moderate number of papers and a fair level of citation. A separately listed Turing Institute, based in Glasgow, appears much further down with a couple of papers. The two are distinct entries with different locations, and readers should not merge them.
The list also contains one nonprofit, the Goethe-Institute United Kingdom in London. It is represented by a few papers that have so far attracted almost no citation, and it closes the ranking. Its presence shows that the British list is not limited to universities and laboratories: any organisation whose staff wrote more than one paper here can be included.
Geography
London is by far the most frequent location in the list. It is home to the leading company entry, several universities and The Alan Turing Institute. Beyond the capital, Oxford and Cambridge each pair a major university with a company laboratory. Edinburgh hosts both the University of Edinburgh and Heriot-Watt University, and Glasgow has both a university and the Turing Institute. Reading appears twice through company entries. Brighton appears twice through its two universities, and Birmingham also appears twice.
Many other cities are represented by a single institution. They include Sheffield, Wolverhampton, Manchester, York, Lancaster, Cardiff, Colchester, Leeds, Aberdeen, Liverpool, Coventry, Guildford and Stirling. Bristol, Newcastle upon Tyne, Durham, Milton Keynes, Exeter, Belfast, Hatfield, Poole, St Andrews and Coleraine complete the picture. The spread is wide, but the most heavily cited work is concentrated in a small number of places, above all London, Oxford, Cambridge and Edinburgh, with Birmingham and Manchester as notable additions.
Output and influence
The British entries show clearly that volume of work and wide uptake do not always go together. Edinburgh, Cambridge and Sheffield are among the institutions with the most papers on the site. Oxford, Birmingham and Manchester have fewer papers but rank among those whose work has been cited most heavily. Companies such as Google DeepMind and Nvidia (United Kingdom) owe their positions to compact bodies of cited research, whereas Queen Mary University of London and the University of Essex are represented mainly through steady contribution.
Because the ranking reflects only the papers gathered in this library, it describes the British presence within this collection rather than the standing of any institution in its field. The individual institution pages give a closer view of each entry's people and works, and they will change as further papers are added.
Where
Agglomerations (26)
- Oxford2 institutions153,625 citations
- London14 institutions119,289 citations
- Cambridge2 institutions112,595 citations
- Birmingham3 institutions67,994 citations
- Edinburgh2 institutions59,810 citations
- Manchester1 institution42,781 citations
- Sheffield1 institution17,924 citations
- York1 institution6,464 citations
- Brighton3 institutions6,055 citations
- Reading2 institutions5,070 citations
- Colchester1 institution2,852 citations
- Larbert1 institution2,588 citations
- Cardiff1 institution2,004 citations
- Leeds1 institution1,290 citations
- Coventry1 institution1,243 citations
- Aberdeen1 institution1,165 citations
- Glasgow2 institutions1,088 citations
- Lancaster1 institution1,069 citations
- Newcastle upon Tyne2 institutions716 citations
- Bristol1 institution513 citations
- Liverpool1 institution303 citations
- Bournemouth1 institution253 citations
- Milton Keynes1 institution252 citations
- Belfast1 institution232 citations
- Exeter1 institution123 citations
Institutions (49)
🎓 Universities (38)
🔬 Labs and research institutes (2)
🏢 Companies (8)
🤝 Nonprofits (1)
People (347)
Works in our library (704)
- Very Deep Convolutional Networks for Large-Scale Image RecognitionKaren Simonyan, Andrew Zisserman2014 · 72,803 citations
- Highly accurate protein structure prediction with AlphaFoldJohn Jumper, Richard Evans, Alexander Pritzel, et al.2021 · 43,470 citations
- SciPy 1.0 — Fundamental Algorithms for Scientific Computing in PythonPauli Virtanen, Ralf Gommers, Travis E. Oliphant, et al.2019 · 38,317 citations
- Array Programming with NumPyCharles R. Harris, K. Jarrod Millman, Stéfan J. van der Walt, et al.2020 · 23,591 citations
- Graph Attention NetworksPetar Veličkovic, Guillem Cucurull, Arantxa Casanova, et al.2017 · 8,996 citations
- GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language UnderstandingAlex Wang, Amanpreet Singh, Julian Michael, et al.2018 · 7,141 citations
- Large Language Models Encode Clinical KnowledgeKaran Singhal, Shekoofeh Azizi, Tao Tu, et al.2022 · 4,464 citations
- The Cambridge Grammar of the English LanguageRodney Huddleston, Geoffrey K. Pullum2002 · 4,249 citations
- Teaching Machines to Read and ComprehendKarl Moritz Hermann, Tomáš Kočiský, Edward Grefenstette, et al.2015 · 3,806 citations
- Continual Lifelong Learning with Neural Networks: A ReviewGerman I. Parisi, Ronald Kemker, Jose L. Part, et al.2018 · 3,210 citations
- Language Models as Knowledge Bases?Fabio Petroni, Tim Rocktäschel, Sebastian Riedel, et al.2019 · 2,977 citations
- What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?Alex Kendall, Yarin Gal2017 · 2,844 citations
- Stochastic Backpropagation and Approximate Inference in Deep Generative ModelsDanilo Jimenez Rezende, Shakir Mohamed, Daan Wierstra2014 · 2,586 citations
- Assessing Agreement on Classification Tasks: The Kappa StatisticJean Carletta1996 · 2,462 citations
- OpenNMT: Open-Source Toolkit for Neural Machine TranslationGuillaume Klein, Yoon Kim, Yuntian Deng, et al.2017 · 2,460 citations
- SemEval-2014 Task 4: Aspect Based Sentiment AnalysisMaria Pontiki, Dimitris Galanis, John Pavlopoulos, et al.2014 · 2,405 citations
- Emergent Abilities of Large Language ModelsJason Wei, Yi Tay, Rishi Bommasani, et al.2022 · 2,215 citations
- FEVER: a Large-scale Dataset for Fact Extraction and VERificationJames Thorne, Andreas Vlachos, Christos Christodoulopoulos, et al.2018 · 2,205 citations
- SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding SystemsAlex Wang, Yada Pruksachatkun, Nikita Nangia, et al.2019 · 2,187 citations
- Tensor Fusion Network for Multimodal Sentiment AnalysisAmir Zadeh, Minghai Chen, Soujanya Poria, et al.2017 · 2,107 citations
- TruthfulQA: Measuring How Models Mimic Human FalsehoodsStephanie Lin, Jacob Hilton, Owain Evans2022 · 2,047 citations
- PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive SummarizationJingqing Zhang, Yao Zhao, Mohammad Saleh, et al.2019 · 1,806 citations
- Survey Article: Inter-Coder Agreement for Computational LinguisticsRon Artstein, Massimo Poesio2008 · 1,770 citations
- Universal Dependencies v1: A Multilingual Treebank CollectionJoakim Nivre, Marie-Catherine de Marneffe, Filip Ginter, et al.2016 · 1,739 citations
- Leveraging Passage Retrieval with Generative Models for Open Domain Question AnsweringGautier Izacard, Edouard Grave2021 · 1,674 citations
Topics
Machine translation (95) Language models & pretraining (71) Evaluation & benchmarks (70) Semitic languages (70) Coreference resolution (64) Multilingual & cross-lingual NLP (47) Sentiment & emotion (44) Discourse analysis (34) Idioms & multiword expressions (23) Reasoning (21) Dialogue systems (17) Text generation (15) Morphology (15) Syntax & grammar formalisms (15) Hebrew & Aramaic (14) Vision & language (13) Speech & spoken language (12) Bias, fairness & safety (12) Summarization (11) Low-resource languages (11) Question answering (10) Interpretability (10) Named entity recognition (9) Word sense disambiguation (9) Treebanks (9) Semantic role labeling (8) Information retrieval & search (8) Implicature (7) Dependency parsing (7) Historical linguistics & language change (7) Universal Dependencies (6) Lexical semantics & word embeddings (6) Knowledge graphs & ontologies (6) Speech act theory (5) Part-of-speech tagging (5) Information extraction (5) Semantic parsing & meaning representation (5) Tokenization & segmentation (5) Legal AI (4) Psycholinguistics & language acquisition (4) Grammatical error correction & learner language (4) Code & programming languages (3) Efficient models & compression (3) Akkadian and cuneiform NLP (2) Ancient Greek (1)
Fields
Linguistics & languages (367) Natural language processing (282) Machine translation (113) AI & machine learning (30) Mathematics & statistics (17) Computing & GPUs (9) Law (5) Life sciences & medicine (1)
Works by year
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