World's Best Scientists 2026 revealed!
Andrew T. Campbell

Andrew T. Campbell

D-Index & Metrics

Computer Science

D-Index
89
Citations
40693
World Ranking
636
National Ranking
338

Electronics and Electrical Engineering

D-Index
80
Citations
35332
World Ranking
509
National Ranking
235

Overview

Andrew T. Campbell is affiliated with Dartmouth College in the United States. Their research focuses primarily on psychology and medicine, with a significant body of work in experimental and cognitive psychology, applied psychology, psychiatry and mental health, cognitive neuroscience, and clinical psychology.

The scientist has contributed to multiple topics, which include:

  • Mental Health Research Topics
  • Digital Mental Health Interventions
  • Schizophrenia research and treatment
  • Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
  • COVID-19 and Mental Health
  • Behavioral Health and Interventions
  • Psychosomatic Disorders and Their Treatments

Andrew T. Campbell has published extensively, including in venues such as:

  • arXiv (Cornell University)
  • Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
  • Journal of Clinical Oncology
  • Journal of Medical Internet Research
  • Journal of Psychopathology and Clinical Science

Some of the recent papers authored or co-authored include:

  • "Mental Health and Behavior of College Students During the Early Phases of the COVID-19 Pandemic: Longitudinal Smartphone and Ecological Momentary Assessment Study," 2020, Journal of Medical Internet Research
  • "Predicting Early Warning Signs of Psychotic Relapse From Passive Sensing Data: An Approach Using Encoder-Decoder Neural Networks," 2020, JMIR mhealth and uhealth
  • "A review on recognizing depression in social networks: challenges and opportunities," 2020, Journal of Ambient Intelligence and Humanized Computing
  • "GLOBEM," 2022, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
  • "Toward a Mobile Platform for Real-world Digital Measurement of Depression: User-Centered Design, Data Quality, and Behavioral and Clinical Modeling," 2021, JMIR Mental Health

Frequent collaborators in their research include:

  • Subigya Nepal
  • Weichen Wang
  • Dror Ben-Zeev
  • Arvind Pillai
  • Jeremy F. Huckins

Best Publications

  • A survey of mobile phone sensing

    Nicholas D Lane;Emiliano Miluzzo;Hong Lu;Daniel Peebles

  • Sensing meets mobile social networks: the design, implementation and evaluation of the CenceMe application

    Emiliano Miluzzo;Nicholas D. Lane;Kristóf Fodor;Ronald Peterson

  • CODA: congestion detection and avoidance in sensor networks

    Chieh-Yih Wan;Shane B. Eisenman;Andrew T. Campbell

  • StudentLife: assessing mental health, academic performance and behavioral trends of college students using smartphones

    Rui Wang;Fanglin Chen;Zhenyu Chen;Tianxing Li

  • PSFQ: a reliable transport protocol for wireless sensor networks

    Chieh-Yih Wan;Andrew T. Campbell;Lakshman Krishnamurthy

  • A survey of QoS architectures

    Cristina Aurrecoechea;Andrew T. Campbell;Linda Hauw

  • SoundSense: scalable sound sensing for people-centric applications on mobile phones

    Hong Lu;Wei Pan;Nicholas D. Lane;Tanzeem Choudhury

  • BikeNet: A mobile sensing system for cyclist experience mapping

    Shane B. Eisenman;Emiliano Miluzzo;Nicholas D. Lane;Ronald A. Peterson

  • Design, implementation, and evaluation of cellular IP

    A.T. Campbell;J. Gomez;S. Kim;A.G. Valko

  • The Rise of People-Centric Sensing

    A.T. Campbell;S.B. Eisenman;N.D. Lane;E. Miluzzo

  • The Jigsaw continuous sensing engine for mobile phone applications

    Hong Lu;Jun Yang;Zhigang Liu;Nicholas D. Lane

  • Mental Health and Behavior of College Students During the Early Phases of the COVID-19 Pandemic: Longitudinal Smartphone and Ecological Momentary Assessment Study.

    Jeremy F Huckins;Alex W daSilva;Weichen Wang;Elin Hedlund

  • A quality of service architecture

    Andrew Campbell;Geoff Coulson;David Hutchison

  • People-centric urban sensing

    Andrew T. Campbell;Shane B. Eisenman;Nicholas D. Lane;Emiliano Miluzzo

  • INSIGNIA: An IP-Based Quality of Service Framework for Mobile ad Hoc Networks

    Seoung-Bum Lee;Gahng-Seop Ahn;Xiaowei Zhang;Andrew T. Campbell

  • Comparison of IP micromobility protocols

    A.T. Campbell;J. Gomez;Sanghyo Kim;Chieh-Yih Wan

  • StressSense: detecting stress in unconstrained acoustic environments using smartphones

    Hong Lu;Denise Frauendorfer;Mashfiqui Rabbi;Marianne Schmid Mast

  • Using Smartphones to Collect Behavioral Data in Psychological Science: Opportunities, Practical Considerations, and Challenges.

    Gabriella M. Harari;Nicholas D. Lane;Rui Wang;Benjamin S. Crosier

  • Bewell: A smartphone application to monitor, model and promote wellbeing

    Nicholas Lane;Mashfiqui Mohammod;Mu Lin;Xiaochao Yang

  • The BikeNet mobile sensing system for cyclist experience mapping

    S. B. Eisenman;E. Miluzzo;N. D. Lane;R. A. Peterson

  • ACM SIGCOMM computer communication review

    Andrew T. Campbell;Mischa Schwartz

Frequent Co-Authors

Nicholas D. Lane
Nicholas D. Lane University of Cambridge
Tanzeem Choudhury
Tanzeem Choudhury Cornell University
Geoff Coulson
Geoff Coulson Lancaster University
David Hutchison
David Hutchison Lancaster University
Mirco Musolesi
Mirco Musolesi University College London
Gordon S. Blair
Gordon S. Blair Lancaster University
Samuel D. Gosling
Samuel D. Gosling The University of Texas at Austin
Anind K. Dey
Anind K. Dey University of Washington
Munmun De Choudhury
Munmun De Choudhury Georgia Institute of Technology
Javier Bajo
Javier Bajo Technical University of Madrid

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