Jukka-Pekka "JP" Onnela

Jukka-Pekka "JP" Onnela

Harvard University

H-index: 54

North America-United States

About Jukka-Pekka "JP" Onnela

Jukka-Pekka "JP" Onnela, With an exceptional h-index of 54 and a recent h-index of 47 (since 2020), a distinguished researcher at Harvard University, specializes in the field of network science, digital phenotyping, data science, digital health, wearables.

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

Digital Phenotyping of Isolation and Loneliness (DPhIL)

45. Preliminary Report on Digital Measures as an Index of Functional Status in Older Patients With Chronic Musculoskeletal Pain

Precision Assessment of Real-World Associations Between Stress and Sleep Duration Using Actigraphy Data Collected Continuously for an Academic Year: Individual-Level Modeling Study

Accounting for contact network uncertainty in epidemic inferences with Approximate Bayesian Computation

Flexible Bayesian inference on partially observed epidemics

Upper limb movements as digital biomarkers in people with ALS

Seasonal variations of menstrual cycle length in a large, US-based, digital cohort

Testing unit root non-stationarity in the presence of missing data in univariate time series of mobile health studies

Jukka-Pekka "JP" Onnela Information

University

Position

Associate Professor of Biostatistics

Citations(all)

20961

Citations(since 2020)

10333

Cited By

14789

hIndex(all)

54

hIndex(since 2020)

47

i10Index(all)

123

i10Index(since 2020)

105

Email

University Profile Page

Google Scholar

Jukka-Pekka "JP" Onnela Skills & Research Interests

network science

digital phenotyping

data science

digital health

wearables

Top articles of Jukka-Pekka "JP" Onnela

Digital Phenotyping of Isolation and Loneliness (DPhIL)

2024/1/4

45. Preliminary Report on Digital Measures as an Index of Functional Status in Older Patients With Chronic Musculoskeletal Pain

Biological Psychiatry

2024/5/15

Precision Assessment of Real-World Associations Between Stress and Sleep Duration Using Actigraphy Data Collected Continuously for an Academic Year: Individual-Level Modeling Study

JMIR Formative Research

2024/4/30

Accounting for contact network uncertainty in epidemic inferences with Approximate Bayesian Computation

arXiv preprint arXiv:2404.02924

2024/4/1

Flexible Bayesian inference on partially observed epidemics

Journal of Complex Networks

2024/4/1

Upper limb movements as digital biomarkers in people with ALS

EBioMedicine

2024/3/1

Seasonal variations of menstrual cycle length in a large, US-based, digital cohort

International Journal of Hygiene and Environmental Health

2024/3/1

Testing unit root non-stationarity in the presence of missing data in univariate time series of mobile health studies

Journal of the Royal Statistical Society Series C: Applied Statistics

2024/2/29

The Pain Intervention & Digital Research Program: an operational report on combining digital research with outpatient chronic disease management

Frontiers in Pain Research

2024/2/2

Perioperative Mobility Assessment of Patients Undergoing Endoscopic Endonasal Surgeries for Sellar Lesions Using Digital Phenotyping

Journal of Neurological Surgery Part B: Skull Base

2024/2

Returning individual research results from digital phenotyping in psychiatry

The American Journal of Bioethics

2024/2/1

Network Layout Algorithm with Covariate Smoothing

arXiv preprint arXiv:2401.04771

2024/1/9

Approximate Inference for Longitudinal Mechanistic HIV Contact Networks

arXiv preprint arXiv:2401.04775

2024/1/9

Scalable Gaussian Process Inference with Stan

arXiv preprint arXiv:2301.08836

2023/1/21

Selective Acoustic Feature Enhancement for Speech Emotion Recognition with Noisy Speech

IEEE/ACM Transactions on Audio, Speech, and Language Processing

2023/12/7

A Generalized Estimating Equation Approach to Network Regression

arXiv preprint arXiv:2301.04804

2023/1/12

Open-Source, Step-Counting Algorithm for Smartphone Data Collected in Clinical and Nonclinical Settings: Algorithm Development and Validation Study

JMIR cancer

2023/11/15

Digital Assessment in Neuro-Oncology Of Patients' Mobility Using Digital Phenotyping

Brain and Spine

2023/1/1

Computation and Memory Efficient Noise Adaptation of Wav2Vec2. 0 for Noisy Speech Emotion Recognition with Skip Connection Adapters

2023

TEMPORAL TRENDS IN AGE AT MENARCHE AMONG FEMALES BORN BETWEEN 1931 AND 2005 IN A US-BASED DIGITAL COHORT

Fertility and Sterility

2023/10/1

See List of Professors in Jukka-Pekka "JP" Onnela University(Harvard University)

Co-Authors

academic-engine