🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Gloria Vergara-Díaz

Harvard University

ORCID: 0000-0003-1072-1322

Also affiliated with Spaulding Rehabilitation Hospital, Hospital Universitario Virgen del Rocío

MedicineHealth Professions

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 9 papers. Top paper: “Crowdsourcing digital health measures to predict Parkinson’s disease severity: the Parkinson’s Disease Digital Biomarker DREAM Challenge”.

Crowdsourcing digital health measures to predict Parkinson’s disease severity: the Parkinson’s Disease Digital Biomarker DREAM Challenge

npj Digital Medicine(2021)10.1038/s41746-021-00414-7

N/A

1.9DataRank · unranked

65 citations

Jennifer E. Schaff, Marlena Duda, Bálint Pataki, Ming Sun, Phil Snyder +65 more

Predicting and Monitoring Upper-Limb Rehabilitation Outcomes Using Clinical and Wearable Sensor Data in Brain Injury Survivors

IEEE Transactions on Biomedical Engineering(2020)10.1109/tbme.2020.3027853

N/A

0.564DataRank · unranked

42 citations

Catherine Adans-Dester, Anne O’Brien, Gloria Vergara-Díaz, Randie M. Black‐Schaffer, Ross Zafonte +3 more

Qigong Training Positively Impacts Both Posture and Mood in Breast Cancer Survivors With Persistent Post-surgical Pain: Support for an Embodied Cognition Paradigm

Frontiers in Psychology(2022)10.3389/fpsyg.2022.800727

N/A

0.406DataRank · unranked

14 citations

José García Vivas Miranda, Kamila Osypiuk, Paolo Bonato, Gloria Vergara-Díaz, Jennifer A. Ligibel +4 more

Crowdsourcing digital health measures to predict Parkinson’s disease severity: the Parkinson’s Disease Digital Biomarker DREAM Challenge

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.01.13.904722

N/A

0.330DataRank · unranked

8 citations

Jennifer E. Schaff, Marlena Duda, Bálint Pataki, Ming Sun, Phil Snyder +38 more

Remote monitoring of Tai Chi balance training interventions in older adults using wearable sensors and machine learning

Scientific Reports(2025)10.1038/s41598-025-93979-2

N/A

0.269DataRank · unranked

5 citations

Stefano Sapienza, Gloria Vergara-Díaz, Andrea Valerio, Ashkan Vaziri, Paolo Bonato +2 more

Advancing Wearable-Based Upper-Limb Stroke Recovery Assessment to the Clinic: A Comparison of Movement Segmentation Strategies

IEEE Transactions on Neural Systems and Rehabilitation Engineering(2025)10.1109/tnsre.2025.3635677

N/A

0DataRank · unranked

1 citations

Benito Lorenzo Pugliese, Gloria Vergara-Díaz, Anne O’Brien, Randie M. Black‐Schaffer, Paolo Bonato +2 more

Wearable-Based Kinematic Analysis of Upper-Limb Movements During Daily Activities Could Provide Insights into Stroke Survivors’ Motor Ability

Neurorehabilitation and neural repair(2024)10.1177/15459683241270066

N/A

0DataRank · unranked

9 citations

Yunda Liu, Gloria Vergara-Díaz, Benito Lorenzo Pugliese, Randie M. Black‐Schaffer, Mary Ellen Stoykov +2 more

Digital Monitoring of Tai Chi Balance Training in Older Adults Using Wearable Sensors and Machine Learning

Research Square(2024)10.21203/rs.3.rs-5389927/v1

N/A

0DataRank · unranked

0 citations

Stefano Sapienza, Gloria Vergara-Díaz, Andrea Valerio, Ashkan Vaziri, Paolo Bonato +2 more

Enabling precision rehabilitation interventions using wearable sensors and machine learning to track motor recovery

npj Digital Medicine(2020)10.1038/s41746-020-00328-w

N/A

0DataRank · unranked

117 citations

Nicolas Hankov, Anne O’Brien, Gloria Vergara-Díaz, Randie M. Black‐Schaffer, Ross Zafonte +4 more