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

Ali Akbari

North Carolina State University

ORCID: 0000-0003-1387-1174
Computer ScienceEngineeringMedicine

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

1in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology
Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 1 indexed paper attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

Papers

Driven by 5 papers. Top paper: “Long COVID in children and adolescents”.

Long COVID in children and adolescents

World Journal of Pediatrics(2021)10.1007/s12519-021-00457-6
N/A
0.785DataRank · unranked
186 citations

Hamid Nemati, Mina Shahisavandi, Ali Akbari, Amir Emami, Mehrzad Lotfi +11 more

Personalizing Activity Recognition Models Through Quantifying Different Types of Uncertainty Using Wearable Sensors

IEEE Transactions on Biomedical Engineering(2020)10.1109/tbme.2019.2963816
N/A
0DataRank · unranked
52 citations

Roozbeh Jafari, Ali Akbari

Using Intelligent Personal Annotations to Improve Human Activity Recognition for Movements in Natural Environments

IEEE Journal of Biomedical and Health Informatics(2020)10.1109/jbhi.2020.2966151
N/A
0DataRank · unranked
14 citations

Roger Solis Castilla, Roozbeh Jafari, Bobak J. Mortazavi, Ali Akbari

Facilitating Human Activity Data Annotation via Context-Aware Change Detection on Smartwatches

ACM Transactions on Embedded Computing Systems(2021)10.1145/3431503
N/A
0DataRank · unranked
14 citations

Jonathan Martinez, Roozbeh Jafari, Ali Akbari

A Meta-Learning Approach for Fast Personalization of Modality Translation Models in Wearable Physiological Sensing

IEEE Journal of Biomedical and Health Informatics(2021)10.1109/jbhi.2021.3105055
N/A
0DataRank · unranked
11 citations

Jonathan Martinez, Roozbeh Jafari, Ali Akbari