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Maria Liakata

Natural Language Processing (NLP) Time Sensitive Sensors From Language Pragmatic Knowledge Learning From Text Emotion Sensing From Heterogeneous Mobile Data Rumour Spread Analysis In Social Media

About

Maria is a Professor in Natural Language Processing (NLP) at Queen Mary, University of London. She is in receipt of an EPSRC/UKRI Turing AI fellowship award on Creating Time Sensitive Sensors from Language & Heterogeneous User-Generated Content (2019-2025) www.turing.ac.uk/research/research-projects/time-sensitiv... . Maria has a DPhil from the University of Oxford on learning pragmatic knowledge from text. Her work has contributed to advances in knowledge discovery from corpora, automation of scientific experimentation and automatic extraction of information from the scientific literature. She has published widely both in NLP and interdisciplinary venues. Past awards include an IBM Faculty Award for work on emotion sensing from heterogeneous mobile phone data, being a co-investigator on the EU Project PHEME, which studied the spread of rumours in social media (2014-2017) and an Early Career Fellowship from the Leverhulme Trust (2010-2013) on reasoning with scientific articles.

Research Performance Summary

216
Total Papers
11638
Total Citations
46
H-Index
2000-2026
Active Research Span

First Recorded Paper

A system for recognition of named entities in Greek

Year: 2000

Citations: 26

Venue: International Conference on Natural Language Processing

Latest Recorded Paper

Visual content and thematic analyses of images shared on social media before and after episodes of self-harm in a UK clinical youth sample

Year: 2026

Citations: 0

Venue: BMJ open 16 (1), e103456

Last 10 Years Publication Activity

This timeline shows the professor's yearly publication activity.

2026
6
2025
11
2024
19
2023
15
2022
14
2021
14
2020
14
2019
8
2018
12
2017
16
2016
16

Publication Venues and Collaboration

Journal, Conference, and Book Publication Breakdown

Conference 88
Journal 13
Book 13

Top Coauthors

Liakata Procter

Research Impact by Period

2025-2026

Period Stats
Papers 17
Citations 72
Avg. Citations / Paper 4.2
H-Index 4

2020-2024

Period Stats
Papers 76
Citations 1491
Avg. Citations / Paper 19.6
H-Index 18

2015-2019

Period Stats
Papers 66
Citations 7455
Avg. Citations / Paper 113
H-Index 32

2010-2014

Period Stats
Papers 29
Citations 1361
Avg. Citations / Paper 46.9
H-Index 16

2005-2009

Period Stats
Papers 18
Citations 1170
Avg. Citations / Paper 65
H-Index 8

2000-2004

Period Stats
Papers 10
Citations 89
Avg. Citations / Paper 8.9
H-Index 4

Contact and Professional Links

Contact Information

m.liakata@qmul.ac.uk

Detected Research Keywords

Natural Language Processing Rumour Stance Classification Stance Classification Social Classification Social Media Change Longitudinal User Longitudinal User Posts Longitudinal Evaluation Model Rumours Social Media Determining Rumour Veracity Rumour Veracity Support