Maria Liakata - Google Scholar

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	All	Since 2015
Citations	3689	2974
h-index	30	29
i10-index	66	53

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200820092010201120122013201420152016201720182019202013 41 84 84 120 147 166 175 234 332 585 907 709

Co-authors

Arkaitz ZubiagaLecturer, Queen Mary University of LondonVerified email at qmul.ac.uk
Rob ProcterProfessor of Social Informatics, University of Warwick; Faculty Fellow, Alan Turing InstituteVerified email at warwick.ac.uk
Amanda ClareAberystwyth UniversityVerified email at aber.ac.uk
Kalina BontchevaProfessor of Text Analytics, University of SheffieldVerified email at sheffield.ac.uk
Peter TolmiePrincipal Research Scientist, Wirtschaftsinformatik und Neue Medien, Universität SiegenVerified email at uni-siegen.de
Wayne AubreyAberystwyth UniversityVerified email at aber.ac.uk
Bo WangUniversity of OxfordVerified email at turing.ac.uk
S.G. OliverUniversity of CambridgeVerified email at cam.ac.uk
Elena KochkinaUniversity of WarwickVerified email at warwick.ac.uk
George GkotsisSenior Research Scientist, Refinitiv LabsVerified email at kcl.ac.uk
Anika OellrichKing's College LondonVerified email at kcl.ac.uk
ahmet akerResearch Associate at the University of SheffieldVerified email at dcs.shef.ac.uk
James RavenscroftPhD Student, Warwick University and CTO, Filament Consultancy GroupVerified email at warwick.ac.uk
Adam TsakalidisThe Alan Turing InstituteVerified email at turing.ac.uk
Colin BatchelorRoyal Society of Chemistry, UKVerified email at rsc.org
Leon DerczynskiITU CopenhagenVerified email at itu.dk
Dietrich Rebholz-SchuhmannZB MED -- Information Center for Life SciencesVerified email at zbmed.de
Michal LukasikGoogleVerified email at google.com
Professor Richard DobsonGroup lead and Professor in Bioinformatics, Kings College LondonVerified email at kcl.ac.uk
Tim HubbardHead Dept. Medical & Molecular Genetics, King's College London, Director of Bioinformatics, King'sVerified email at kcl.ac.uk

Maria Liakata

Professor Queen Mary University of London/University of Warwick, Alan Turing Institute AI Fellow

Verified email at qmul.ac.uk

Natural Language processing (NLP)Semantics & Discourse BioNLP & NLP for Mental Health Social Media Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
The automation of science RD King, J Rowland, SG Oliver, M Young, W Aubrey, E Byrne, M Liakata, ... Science 324 (5923), 85-89, 2009	496	2009
Analysing how people orient to and spread rumours in social media by looking at conversational threads A Zubiaga, M Liakata, R Procter, G Wong Sak Hoi, P Tolmie PloS one 11 (3), e0150989, 2016	318	2016
Detection and resolution of rumours in social media: A survey A Zubiaga, A Aker, K Bontcheva, M Liakata, R Procter ACM Computing Surveys (CSUR) 51 (2), 1-36, 2018	288	2018
SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours L Derczynski, K Bontcheva, M Liakata, R Procter, GWS Hoi, A Zubiaga arXiv preprint arXiv:1704.05972, 2017	148	2017
Automatic recognition of conceptualization zones in scientific articles and two life science applications M Liakata, S Saha, S Dobnik, C Batchelor, D Rebholz-Schuhmann Bioinformatics 28 (7), 991-1000, 2012	143	2012
Corpora for the conceptualisation and zoning of scientific papers M Liakata, S Teufel, A Siddharthan, C Batchelor	128	2010
Towards Robot Scientists for autonomous scientific discovery A Sparkes, W Aubrey, E Byrne, A Clare, MN Khan, M Liakata, M Markham, ... Automated Experimentation 2 (1), 1, 2010	114	2010
Measuring scientific impact beyond academia: An assessment of existing impact metrics and proposed improvements J Ravenscroft, M Liakata, A Clare, D Duma PloS one 12 (3), e0173152, 2017	89	2017
Biological network extraction from scientific literature: state of the art and challenges C Li, M Liakata, D Rebholz-Schuhmann Briefings in bioinformatics 15 (5), 856-877, 2014	85	2014
Characterisation of mental health conditions in social media using Informed Deep Learning G Gkotsis, A Oellrich, S Velupillai, M Liakata, TJP Hubbard, RJB Dobson, ... Scientific reports 7, 45141, 2017	84	2017
Towards detecting rumours in social media A Zubiaga, M Liakata, R Procter, K Bontcheva, P Tolmie arXiv preprint arXiv:1504.04712, 2015	82	2015
Making the most of tweet-inherent features for social spam detection on Twitter B Wang, A Zubiaga, M Liakata, R Procter arXiv preprint arXiv:1503.07405, 2015	75	2015
Identifying the information structure of scientific abstracts: an investigation of three different schemes Y Guo, A Korhonen, M Liakata, I Silins, L Sun, U Stenius Proceedings of the 2010 Workshop on Biomedical Natural Language Processing …, 2010	74	2010
Learning reporting dynamics during breaking news for rumour detection in social media A Zubiaga, M Liakata, R Procter arXiv preprint arXiv:1610.07363, 2016	66	2016
Stance classification in rumours as a sequential task exploiting the tree structure of social media conversations A Zubiaga, E Kochkina, M Liakata, R Procter, M Lukasik arXiv preprint arXiv:1609.09028, 2016	63	2016
All-in-one: Multi-task learning for rumour verification E Kochkina, M Liakata, A Zubiaga arXiv preprint arXiv:1806.03713, 2018	61	2018
Exploiting context for rumour detection in social media A Zubiaga, M Liakata, R Procter International Conference on Social Informatics, 109-123, 2017	55	2017
Crowdsourcing the annotation of rumourous conversations in social media A Zubiaga, M Liakata, R Procter, K Bontcheva, P Tolmie Proceedings of the 24th International Conference on World Wide Web, 347-353, 2015	54	2015
Turing at semeval-2017 task 8: Sequential approach to rumour stance classification with branch-lstm E Kochkina, M Liakata, I Augenstein arXiv preprint arXiv:1704.07221, 2017	53	2017
The language of mental health problems in social media G Gkotsis, A Oellrich, T Hubbard, R Dobson, M Liakata, S Velupillai, ... Proceedings of the Third Workshop on Computational Linguistics and Clinical …, 2016	48	2016

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