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

Anisoara Paraschiv-Ionescu

École Polytechnique Fédérale de Lausanne

ORCID: 0000-0002-2341-4383
Health ProfessionsMedicineComputer Science

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: “Automated Gait Detection in Older Adults during Daily-Living using Self-Supervised Learning of Wrist- Worn Accelerometer Data: Development and Validation of ElderNet”.

Automated Gait Detection in Older Adults during Daily-Living using Self-Supervised Learning of Wrist- Worn Accelerometer Data: Development and Validation of ElderNet

Research Square(2024)10.21203/rs.3.rs-4102403/v1
N/A
0.165DataRank · unranked
2 citations

Felix Kluge, Luca Palmerini, Anisoara Paraschiv-Ionescu, Clemens Becker, Andrea Cereatti +11 more

Real-World Gait Detection Using a Wrist-Worn Inertial Sensor: Validation Study

JMIR Formative Research(2024)10.2196/50035
N/A
0DataRank · unranked
35 citations

Yonatan E. Brand, M. Encarna Micó-Amigo, Stefano Bertuletti, Ilaria D’Ascanio, Eran Gazit +45 more

Self-supervised learning of wrist-worn daily living accelerometer data improves the automated detection of gait in older adults

Scientific Reports(2024)10.1038/s41598-024-71491-3
N/A
0DataRank · unranked
17 citations

Felix Kluge, Luca Palmerini, Anisoara Paraschiv-Ionescu, Clemens Becker, Andrea Cereatti +11 more