Aakash Kaku

MedicineHealth ProfessionsComputer 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 4 papers. Top paper: “An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department”.

An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department

npj Digital Medicine(2021)10.1038/s41746-021-00453-0

N/A

0DataRank · unranked

12 citations

Yiqiu Shen, Nan Wu, Aakash Kaku, Jungkyu Park, Taro Makino +15 more

PrimSeq: A deep learning-based pipeline to quantitate rehabilitation training

PLOS Digital Health(2022)10.1371/journal.pdig.0000044

N/A

0DataRank · unranked

15 citations

Aakash Kaku, Anita Venkatesan, Natasha Pandit, Audre Wirtanen, Haresh Rengaraj Rajamohan +5 more

Data-Driven Quantitation of Movement Abnormality after Stroke

Bioengineering(2023)10.3390/bioengineering10060648

N/A

0DataRank · unranked

12 citations

Aakash Kaku, Anita Venkatesan, Natasha Pandit, Emily E. Fokas, Boyang Yu +5 more

Quantifying impairment and disease severity using AI models trained on healthy subjects

npj Digital Medicine(2024)10.1038/s41746-024-01173-x

N/A

0DataRank · unranked

4 citations

Aakash Kaku, Kangning Liu, Avinash Parnandi, Emily E. Fokas, Anita Venkatesan +5 more