Nicholas Cummins

Nicholas Cummins

King's College

H-index: 42

North America-United States

About Nicholas Cummins

Nicholas Cummins, With an exceptional h-index of 42 and a recent h-index of 38 (since 2020), a distinguished researcher at King's College, specializes in the field of Paralinguistics, Speech Processing, Mental Health, Machine Learning.

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

Longitudinal Modeling of Depression Shifts Using Speech and Language

Towards a scalable approach to assess speech organization across the psychosis-spectrum-online assessment in conjunction with automated transcription and extraction of speech …

Automatic detection of expressed emotion from Five-Minute Speech Samples: Challenges and opportunities

Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep learning topic model

Automated analysis of speech as a marker of sub-clinical psychotic experiences

278. Sleep Realities Vs. Perceptions: Comparing Objective and Subjective Sleep Data in Patients With Depression

A wearable device perspective on the standard definitions of disability progression in multiple sclerosis

Deciphering seasonal depression variations and interplays between weather changes, physical activity, and depression severity in real-world settings: Learnings from RADAR-MDD …

Nicholas Cummins Information

University

Position

___

Citations(all)

6507

Citations(since 2020)

5551

Cited By

2729

hIndex(all)

42

hIndex(since 2020)

38

i10Index(all)

104

i10Index(since 2020)

100

Email

University Profile Page

King's College

Google Scholar

View Google Scholar Profile

Nicholas Cummins Skills & Research Interests

Paralinguistics

Speech Processing

Mental Health

Machine Learning

Top articles of Nicholas Cummins

Title

Journal

Author(s)

Publication Date

Longitudinal Modeling of Depression Shifts Using Speech and Language

Paula Andrea Pérez-Toro

Judith Dineley

Agnieszka Kaczkowska

Pauline Conde

Yuezhou Zhang

...

2024/4/14

Towards a scalable approach to assess speech organization across the psychosis-spectrum-online assessment in conjunction with automated transcription and extraction of speech …

Nicholas Cummins

Maite Arribas

Toni Gibbs-Dean

Elena Molina

Divina Sethi

...

2023/5/15

Automatic detection of expressed emotion from Five-Minute Speech Samples: Challenges and opportunities

Bahman Mirheidari

André Bittar

Nicholas Cummins

Johnny Downs

Helen L Fisher

...

2024/3/21

Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep learning topic model

Journal of affective disorders

Yuezhou Zhang

Amos A Folarin

Judith Dineley

Pauline Conde

Valeria de Angel

...

2024/3/27

Automated analysis of speech as a marker of sub-clinical psychotic experiences

Julianna Olah

Thomas Spencer

Nicholas Cummins

Kelly Diederen

2024/2/1

278. Sleep Realities Vs. Perceptions: Comparing Objective and Subjective Sleep Data in Patients With Depression

Biological Psychiatry

Carolin Oetzmann

Valeria De Angel

Yuezhou Zhang

Ewan Carr

Nicholas Cummins

...

2024/5/15

A wearable device perspective on the standard definitions of disability progression in multiple sclerosis

Multiple Sclerosis Journal

Gloria Dalla Costa

Carlos Nos

Ana Zabalza

Mathias Buron

Melinda Magyari

...

2024/1

Deciphering seasonal depression variations and interplays between weather changes, physical activity, and depression severity in real-world settings: Learnings from RADAR-MDD …

arXiv preprint arXiv:2404.11212

Yuezhou Zhang

Amos A Folarin

Yatharth Ranjan

Nicholas Cummins

Zulqarnain Rashid

...

2024/4/17

Longitudinal Assessment of Seasonal Impacts and Depression Associations on Circadian Rhythm Using Multimodal Wearable Sensing

arXiv preprint arXiv:2312.02953

Yuezhou Zhang

Amos A Folarin

Shaoxiong Sun

Nicholas Cummins

Yatharth Ranjan

...

2023/12/5

Wearable-derived sleep features predict relapse in Major Depressive Disorder.

Faith Matcham

Ewan Carr

Nicholas Meyer

Katie M White

Carolin Oetzmann

...

2023/3/23

Automatic Assessment of the 2-Minute Walk Distance for Remote Monitoring of People with Multiple Sclerosis

Sensors

Spyridon Kontaxis

Estela Laporta

Esther Garcia

Matteo Martinis

Letizia Leocani

...

2023/6/29

Multilingual markers of depression in remotely collected speech samples: A preliminary analysis

Journal of affective disorders

Nicholas Cummins

Judith Dineley

Pauline Conde

Faith Matcham

Sara Siddi

...

2023/11/15

Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study

NPJ digital medicine

Yuezhou Zhang

Abhishek Pratap

Amos A Folarin

Shaoxiong Sun

Nicholas Cummins

...

2023/2/17

Digital endpoints in clinical trials of Alzheimer’s disease and other neurodegenerative diseases: challenges and opportunities

Anna-Katharine Brem

Sajini Kuruppu

Casper de Boer

Marijn Muurling

Ana Diaz-Ponce

...

2023/6/15

Online speech assessment of the psychotic spectrum: exploring the relationship between overlapping acoustic markers of schizotypy, depression and anxiety

Schizophrenia Research

Julianna Olah

Kelly Diederen

Toni Gibbs-Dean

Matthew J Kempton

Richard Dobson

...

2023/9/1

The feasibility of implementing remote measurement technologies in psychological treatment for depression: mixed methods study on engagement

JMIR mental health

Valeria De Angel

Fadekemi Adeleye

Yuezhou Zhang

Nicholas Cummins

Sara Munir

...

2023/1/24

The usability of daytime and night-time heart rate dynamics as digital biomarkers of depression severity

Psychological medicine

S Siddi

R Bailon

I Gine-Vazquez

F Matcham

F Lamers

...

2023/6

Classifying depression symptom severity: Assessment of speech representations in personalized and generalized machine learning models

Edward L Campbell

Judith Dineley

Pauline Conde

Faith Matcham

Katie M White

...

2023/8/24

Towards robust paralinguistic assessment for real-world mobile health (mHealth) monitoring: an initial study of reverberation effects on speech

arXiv preprint arXiv:2305.12514

Judith Dineley

Ewan Carr

Faith Matcham

Johnny Downs

Richard Dobson

...

2023/5/21

Monitorización de la depresión mediante el análisis de la circadianidad del ritmo cardíaco proporcionado por un dispositivo wearable

S Pérez

S Kontaxis

E García

S Siddi

N Cummins

...

2023

See List of Professors in Nicholas Cummins University(King's College)

Co-Authors

H-index: 109
Björn Schuller

Björn Schuller

Imperial College London

H-index: 54
Anton Batliner

Anton Batliner

Friedrich-Alexander-Universität Erlangen-Nürnberg

H-index: 52
Roland Goecke

Roland Goecke

University of Canberra

H-index: 26
Jarek Krajewski

Jarek Krajewski

Bergische Universität Wuppertal

H-index: 12
Sebastian Schnieder

Sebastian Schnieder

Bergische Universität Wuppertal

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