D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 31 Citations 5,715 105 World Ranking 8049 National Ranking 474

Overview

What is she best known for?

The fields of study she is best known for:

  • Artificial intelligence
  • Linguistics
  • Machine learning

Maria Liakata spends much of her time researching Social media, Artificial intelligence, Data science, Scientific literature and Conditional random field. Her work carried out in the field of Social media brings together such families of science as Context, Social research and Internet privacy. Her work in the fields of Fake news overlaps with other areas such as Openness to experience.

Her biological study spans a wide range of topics, including Machine learning, Mental illness and Natural language processing. Her studies deal with areas such as Word, SemEval and Long short term memory as well as Natural language processing. Conditional random field is closely attributed to Classifier in her work.

Her most cited work include:

  • The Automation of Science (375 citations)
  • Analysing how people orient to and spread rumours in social media by looking at conversational threads (302 citations)
  • Detection and Resolution of Rumours in Social Media: A Survey (284 citations)

What are the main themes of her work throughout her whole career to date?

Maria Liakata focuses on Artificial intelligence, Social media, Information retrieval, Natural language processing and Data science. Her research in Artificial intelligence intersects with topics in Domain and Machine learning. Her Social media research integrates issues from Context, Conditional random field, Classifier, Mental health and Internet privacy.

The concepts of her Conditional random field study are interwoven with issues in Precision and recall, Event and F1 score. Sentence is closely connected to Annotation in her research, which is encompassed under the umbrella topic of Information retrieval. Her work focuses on many connections between Natural language processing and other disciplines, such as SemEval, that overlap with her field of interest in Fake news and Focus.

She most often published in these fields:

  • Artificial intelligence (42.76%)
  • Social media (41.45%)
  • Information retrieval (25.00%)

What were the highlights of her more recent work (between 2019-2021)?

  • Artificial intelligence (42.76%)
  • Information retrieval (25.00%)
  • Set (17.76%)

In recent papers she was focusing on the following fields of study:

Maria Liakata mainly investigates Artificial intelligence, Information retrieval, Set, Natural language processing and Word. Maria Liakata focuses mostly in the field of Artificial intelligence, narrowing it down to matters related to Machine learning and, in some cases, Variety. Her research integrates issues of Context, Event, F1 score and Conditional random field in her study of Information retrieval.

Her Natural language processing study integrates concerns from other disciplines, such as Lexical semantics, Logistic regression, Semantic change and Feedforward neural network. Her Word research includes elements of Synonym and Identification. In her research, Maria Liakata undertakes multidisciplinary study on Societal impact of nanotechnology and Social media.

Between 2019 and 2021, her most popular works were:

  • tBERT: Topic Models and BERT Joining Forces for Semantic Similarity Detection (17 citations)
  • Learning to Detect Bipolar Disorder and Borderline Personality Disorder with Language and Speech in Non-Clinical Interviews (6 citations)
  • QMUL-SDS at CheckThat! 2020: Determining COVID-19 Tweet Check-Worthiness Using an Enhanced CT-BERT with Numeric Expressions (6 citations)

In her most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Linguistics
  • The Internet

Her primary areas of investigation include Set, Discipline, Cultural analytics, Engineering ethics and Bridge. Her Set research incorporates themes from Non clinical, Borderline personality disorder and Comorbidity. In her papers, Maria Liakata integrates diverse fields, such as Discipline, Diversity, Imperfect, Work and Computational sociology.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

The Automation of Science

Ross Donald King;Jeremy John Rowland;Jeremy John Rowland;Stephen G. Oliver;Stephen G. Oliver;Michael Young.
Science (2009)

546 Citations

Analysing how people orient to and spread rumours in social media by looking at conversational threads

Arkaitz Zubiaga;Maria Liakata;Rob Procter;Geraldine Wong Sak Hoi.
PLOS ONE (2016)

401 Citations

Detection and Resolution of Rumours in Social Media: A Survey

Arkaitz Zubiaga;Ahmet Aker;Kalina Bontcheva;Maria Liakata.
ACM Computing Surveys (2018)

368 Citations

Automatic recognition of conceptualization zones in scientific articles and two life science applications

Maria Liakata;Shyamasree Saha;Simon Dobnik;Colin Batchelor.
Bioinformatics (2012)

168 Citations

SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours

Leon Derczynski;Kalina Bontcheva;Maria Liakata;Rob Procter.
meeting of the association for computational linguistics (2017)

164 Citations

Corpora for the Conceptualisation and Zoning of Scientific Papers

Maria Liakata;Simone Teufel;Advaith Siddharthan;Colin R. Batchelor.
language resources and evaluation (2010)

144 Citations

Measuring scientific impact beyond academia: an assessment of existing impact metrics and proposed improvements

James Edward Ravenscroft;Maria Liakata;Amanda Clare;Daniel Duma.
PLOS ONE (2017)

136 Citations

Characterisation of mental health conditions in social media using Informed Deep Learning

George Gkotsis;Anika Oellrich;Sumithra Velupillai;Sumithra Velupillai;Maria Liakata.
Scientific Reports (2017)

128 Citations

Towards Robot Scientists for autonomous scientific discovery

Andrew Charles Sparkes;Wayne Aubrey;Emma Louise Byrne;Amanda Janet Clare.
Automated Experimentation (2010)

125 Citations

All-in-one: Multi-task Learning for Rumour Verification

Elena Kochkina;Maria Liakata;Arkaitz Zubiaga.
international conference on computational linguistics (2018)

123 Citations

Best Scientists Citing Maria Liakata

Preslav Nakov

Preslav Nakov

Qatar Computing Research Institute

Publications: 69

Alberto Barrón-Cedeño

Alberto Barrón-Cedeño

University of Bologna

Publications: 24

Ross D. King

Ross D. King

Chalmers University of Technology

Publications: 23

Arkaitz Zubiaga

Arkaitz Zubiaga

Queen Mary University of London

Publications: 22

Sophia Ananiadou

Sophia Ananiadou

University of Manchester

Publications: 22

Kalina Bontcheva

Kalina Bontcheva

University of Sheffield

Publications: 21

Sören Auer

Sören Auer

University of Hannover

Publications: 13

Anna Korhonen

Anna Korhonen

University of Cambridge

Publications: 13

Stephen G. Oliver

Stephen G. Oliver

University of Cambridge

Publications: 13

Iryna Gurevych

Iryna Gurevych

University of Paderborn

Publications: 11

Horacio Saggion

Horacio Saggion

Pompeu Fabra University

Publications: 11

Lluís Màrquez

Lluís Màrquez

Amazon (United States)

Publications: 10

Douglas B. Kell

Douglas B. Kell

University of Liverpool

Publications: 10

Kam-Fai Wong

Kam-Fai Wong

Chinese University of Hong Kong

Publications: 9

Asif Ekbal

Asif Ekbal

Indian Institute of Technology Patna

Publications: 9

Wei Gao

Wei Gao

UNSW Sydney

Publications: 9

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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