Anne O’Brien

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: “Enabling precision rehabilitation interventions using wearable sensors and machine learning to track motor recovery”.

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

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

0DataRank · unranked

42 citations

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