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Jukka-Pekka Onnela

Jukka-Pekka Onnela

D-Index & Metrics

Engineering and Technology

D-Index
50
Citations
21111
World Ranking
3987
National Ranking
1149

Overview

Jukka-Pekka Onnela is affiliated with Harvard University in the United States. Their research primarily focuses on the intersection of medicine and digital technologies, with a strong emphasis on mental health and mobile health applications. Onnela's work contributes to several subfields including Experimental and Cognitive Psychology, Applied Psychology, Artificial Intelligence, General Health Professions, and Epidemiology.

Among their frequent topics of study are:

  • Mental Health Research Topics
  • Digital Mental Health Interventions
  • Complex Network Analysis Techniques
  • Mobile Health and mHealth Applications
  • COVID-19 epidemiological studies
  • Amyotrophic Lateral Sclerosis Research
  • Context-Aware Activity Recognition Systems

Onnela has coauthored many papers with the following frequent collaborators:

  • Russ Hauser
  • Brent A. Coull
  • Marcin Strączkiewicz
  • Shruthi Mahalingaiah
  • Justin T. Baker

Their publications often appear in venues such as:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Scientific Reports
  • Zenodo (CERN European Organization for Nuclear Research)
  • npj Digital Medicine

Recent papers by Onnela include:

  • "Understanding the Demographics of Twitter Users" (2021), Proceedings of the International AAAI Conference on Web and Social Media
  • "Opportunities and challenges in the collection and analysis of digital phenotyping data" (2020), Neuropsychopharmacology
  • "A systematic review of smartphone-based human activity recognition methods for health research" (2021), npj Digital Medicine
  • "Assessment of Racial Disparities in Primary Care Physician Specialty Referrals" (2021), JAMA Network Open
  • "Can mHealth interventions improve quality of life of cancer patients? A systematic review and meta-analysis" (2020), Critical Reviews in Oncology/Hematology

Their research addresses key challenges in analyzing digital phenotyping data and developing context-aware systems in health research. This work intersects fields of psychology, epidemiology, and artificial intelligence, focusing on improving health outcomes through innovative technological applications.

Best Publications

  • Structure and tie strengths in mobile communication networks

    J.-P. Onnela;J. Saramäki;J. Hyvönen;G. Szabó

  • Community Structure in Time-Dependent, Multiscale, and Multiplex Networks

    Peter J. Mucha;Thomas Richardson;Thomas Richardson;Kevin Macon;Mason A. Porter

  • Communities in networks

    Mason A. Porter;Jukka Pekka Onnela;Jukka Pekka Onnela;Jukka Pekka Onnela;Peter J. Mucha

  • Intensity and coherence of motifs in weighted complex networks

    Jukka Pekka Onnela;Jari Saramäki;János Kertész;János Kertész;Kimmo Kaski

  • Understanding the Demographics of Twitter Users

    Alan Mislove;Sune Lehmann;Yong-Yeol Ahn;Jukka-Pekka Onnela

  • Dynamics of market correlations: taxonomy and portfolio analysis.

    Jukka-Pekka Onnela;Anirban Chakraborti;Kimmo Kaski;Janos Kertesz;Janos Kertesz

  • Generalizations of the clustering coefficient to weighted complex networks

    Jari Saramäki;Mikko Kivelä;Jukka-Pekka Onnela;Jukka-Pekka Onnela;Kimmo Kaski

  • New Tools for New Research in Psychiatry: A Scalable and Customizable Platform to Empower Data Driven Smartphone Research.

    John Torous;Mathew V Kiang;Jeanette Lorme;Jukka-Pekka Onnela

  • Harnessing Smartphone-Based Digital Phenotyping to Enhance Behavioral and Mental Health

    Jukka-Pekka Onnela;Scott L Rauch

  • Analysis of a large-scale weighted network of one-to-one human communication

    Jukka-Pekka Onnela;Jukka-Pekka Onnela;Jari Saramäki;Jörkki Hyvönen;Gábor Szabó;Gábor Szabó

  • Geographic Constraints on Social Network Groups

    Jukka-Pekka Onnela;Samuel Arbesman;Marta C. González;Albert-László Barabási;Albert-László Barabási;Albert-László Barabási

  • Relapse prediction in schizophrenia through digital phenotyping: a pilot study.

    Ian Barnett;John Torous;Patrick Staples;Luis Sandoval

  • Clustering and information in correlation based financial networks

    Jukka-Pekka Onnela;Kimmo Kaski;Janos Kertész;Janos Kertész

  • Dynamic asset trees and Black Monday

    Jukka-Pekka Onnela;Anirban Chakraborti;Kimmo Kaski;Janos Kertesz;Janos Kertesz

  • Spontaneous emergence of social influence in online systems.

    Jukka-Pekka Onnela;Felix Reed-Tsochas

  • Variation in Patient-Sharing Networks of Physicians Across the United States

    Bruce Evan Landon;Nancy Lynn Keating;Michael Lawrence Barnett;Jukka-Pekka Onnela

  • A Model For Social Networks

    Riitta Toivonen;Jukka-Pekka Onnela;Jari Saramäki;Jörkki Hyvönen

  • Emergence of communities in weighted networks.

    Jussi M Kumpula;Jukka-Pekka Onnela;Jari Saramäki;Kimmo Kaski

  • Opportunities and challenges in the collection and analysis of digital phenotyping data.

    Jukka-Pekka Onnela

  • A comparative study of social network models: Network evolution models and nodal attribute models

    Riitta Toivonen;Lauri Kovanen;Mikko Kivelä;Jukka-Pekka Onnela;Jukka-Pekka Onnela

  • Asset Trees and Asset Graphs in Financial Markets

    Jukka-Pekka Onnela;Anirban Chakraborti;Kimmo Kaski;Janos Kertesz

Frequent Co-Authors

János Kertész
János Kertész Central European University
Kimmo Kaski
Kimmo Kaski Aalto University
John Torous
John Torous Harvard Medical School
Jari Saramäki
Jari Saramäki Aalto University
Nancy L. Keating
Nancy L. Keating Harvard University
Bruce E. Landon
Bruce E. Landon Harvard University
Matcheri S. Keshavan
Matcheri S. Keshavan Beth Israel Deaconess Medical Center
Mason A. Porter
Mason A. Porter University of California, Los Angeles
Nicholas A. Christakis
Nicholas A. Christakis Yale University
Peter J. Mucha
Peter J. Mucha Dartmouth College

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