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

Federico Parisi

Johnson & Johnson (United States)

ORCID: 0000-0002-2111-6024

Also affiliated with Harvard University, Spaulding Rehabilitation Hospital, Janssen (United States)

MedicineHealth ProfessionsEngineering

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 3 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

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

Motor assessment of X-linked dystonia parkinsonism via machine-learning-based analysis of wearable sensor data

Scientific Reports(2024)10.1038/s41598-024-63946-4

N/A

0DataRank · unranked

2 citations

Giulia Corniani, Paolo Bonato, David Balkwill, Patrick Acuña, Criscely L. Go +3 more