Aidan Slingsby

Aidan Slingsby

City University

H-index: 24

Asia-Lebanon

About Aidan Slingsby

Aidan Slingsby, With an exceptional h-index of 24 and a recent h-index of 17 (since 2020), a distinguished researcher at City University, specializes in the field of Information visualization, GIS, cartography, visual analytics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Gridded glyphmaps for supporting spatial COVID-19 modelling

Towards visualisation specifications from multilingual natural language queries using large language models

Estimating the Impact of a Flood Event on Property Value and Its Diminished Effect over Time (Short Paper)

Visualising the uncertain in heritage collections: understanding, exploring and representing uncertainty in the First World War British Unit War Diaries

Visualization for epidemiological modelling: challenges, solutions, reflections and recommendations

Impact of Temporally Downsampling Movement Data on Interpretation

Visualization of tonal harmony for jazz lead sheets

RAMPVIS: Answering the challenges of building visualisation capabilities for large-scale emergency responses

Aidan Slingsby Information

University

Position

___

Citations(all)

2506

Citations(since 2020)

940

Cited By

2002

hIndex(all)

24

hIndex(since 2020)

17

i10Index(all)

39

i10Index(since 2020)

28

Email

University Profile Page

City University

Google Scholar

View Google Scholar Profile

Aidan Slingsby Skills & Research Interests

Information visualization

GIS

cartography

visual analytics

Top articles of Aidan Slingsby

Title

Journal

Author(s)

Publication Date

Gridded glyphmaps for supporting spatial COVID-19 modelling

Aidan Slingsby

Richard Reeve

Claire Harris

2023/10/21

Towards visualisation specifications from multilingual natural language queries using large language models

Maeve Hutchinson

Aidan Slingsby

Radu Jianu

Pranava Madhyastha

2023/6/13

Estimating the Impact of a Flood Event on Property Value and Its Diminished Effect over Time (Short Paper)

Nazia Ferdause Sodial

Oleksandr Galkin

Aidan Slingsby

2023

Visualising the uncertain in heritage collections: understanding, exploring and representing uncertainty in the First World War British Unit War Diaries

Literary Geographies

Johannes Liem

E Slingsby

Eirini Goudarouli

Mark Bell

Cagatay Turkay

...

2023

Visualization for epidemiological modelling: challenges, solutions, reflections and recommendations

Philosophical Transactions of the Royal Society A

Jason Dykes

Alfie Abdul-Rahman

Daniel Archambault

Benjamin Bach

Rita Borgo

...

2022/10/3

Impact of Temporally Downsampling Movement Data on Interpretation

Abstracts of the ICA

Laleh Moussavi

Aidan Slingsby

Gennady Andrienko

2022/9/14

Visualization of tonal harmony for jazz lead sheets

Carey Bunks

Tillman Weyde

Aidan Slingsby

Jo Wood

2022/6/2

RAMPVIS: Answering the challenges of building visualisation capabilities for large-scale emergency responses

Epidemics

Min Chen

Alfie Abdul-Rahman

Daniel Archambault

Jason Dykes

Panagiotis D Ritsos

...

2022/6/1

Correction to: ‘Visualization for epidemiological modelling: challenges, solutions, reflections and recommendations’ (2022) by Dykes et al.

Philosophical Transactions of the Royal Society A

Jason Dykes

Alfie Abdul-Rahman

Daniel Archambault

Benjamin Bach

Rita Borgo

...

2022/10/31

Mapping'sluggish'migration: Irish internal migration 1851-1911

Irish Geography

Mary Kelly

Aidan Slingsby

Jason Dykes

Jo Wood

2021

Assessing the Geographical Structure of Species Richness Data with Interactive Graphics

Workshop on Visualisation in Environmental Sciences (EnvirVis)

Pauline Morgades

Aidan Slingsby

Justin Moat

2021

Principles of Interactive Visualisation

Visual Analytics for Data Scientists

Natalia Andrienko

Gennady Andrienko

Georg Fuchs

Aidan Slingsby

Cagatay Turkay

...

2020

Computational Techniques in Visual Analytics

Visual Analytics for Data Scientists

Natalia Andrienko

Gennady Andrienko

Georg Fuchs

Aidan Slingsby

Cagatay Turkay

...

2020

RAMPVIS: Towards a new methodology for developing visualisation capabilities for large-scale emergency responses

arXiv preprint arXiv:2012.04757

Min Chen

Alfie Abdul-Rahman

Daniel Archambault

Jason Dykes

Aidan Slingsby

...

2020/12/8

Visual analytics for understanding texts

Visual analytics for data scientists

Natalia Andrienko

Gennady Andrienko

Georg Fuchs

Aidan Slingsby

Cagatay Turkay

...

2020

Visual Analytics for Understanding Temporal Distributions and Variations

Visual Analytics for Data Scientists

Natalia Andrienko

Gennady Andrienko

Georg Fuchs

Aidan Slingsby

Cagatay Turkay

...

2020

Visual analytics for data scientists

Natalia Andrienko

Gennady Andrienko

Georg Fuchs

Aidan Slingsby

Cagatay Turkay

...

2020/8/30

Introduction to Visual Analytics by an Example

Visual Analytics for Data Scientists

Natalia Andrienko

Gennady Andrienko

Georg Fuchs

Aidan Slingsby

Cagatay Turkay

...

2020

Visual Analytics for Understanding Images and Video

Visual Analytics for Data Scientists

Natalia Andrienko

Gennady Andrienko

Georg Fuchs

Aidan Slingsby

Cagatay Turkay

...

2020

Computational Modelling with Visual Analytics

Visual Analytics for Data Scientists

Natalia Andrienko

Gennady Andrienko

Georg Fuchs

Aidan Slingsby

Cagatay Turkay

...

2020

See List of Professors in Aidan Slingsby University(City University)

Co-Authors

H-index: 71
Keith C. Clarke

Keith C. Clarke

University of California, Santa Barbara

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