Ayse S. Cakmak

Health ProfessionsPsychologyComputer ScienceMedicine

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 5 papers. Top paper: “An unbiased, efficient sleep–wake detection algorithm for a population with sleep disorders: change point decoder”.

An unbiased, efficient sleep–wake detection algorithm for a population with sleep disorders: change point decoder

SLEEP(2020)10.1093/sleep/zsaa011

N/A

0DataRank · unranked

16 citations

Giulia Da Poian, Adam A. Willats, Ammer Haffar, Rami Abdulbaki, Yi‐An Ko +6 more

Transfer learning from ECG to PPG for improved sleep staging from wrist-worn wearables

Physiological Measurement(2021)10.1088/1361-6579/abf1b0

N/A

0DataRank · unranked

52 citations

Qichen Li, Ayse S. Cakmak, Giulia Da Poian, Donald L. Bliwise, Viola Vaccarino +3 more

Passively Captured Interpersonal Social Interactions and Motion From Smartphones for Predicting Decompensation in Heart Failure: Observational Cohort Study

JMIR Formative Research(2022)10.2196/36972

N/A

0DataRank · unranked

2 citations

Erick Andres Perez Alday, Samuel Densen, Gabriel Najarro, Pratik Rout, Christopher J. Rozell +4 more

Benchmarking changepoint detection algorithms on cardiac time series

arXiv (Cornell University)(2024)10.48550/arxiv.2404.12408

N/A

0DataRank · unranked

0 citations

Erik Reinertsen, Shamim Nemati, Gari D. Clifford, Ayse S. Cakmak

Utility of Wrist-Wearable Data for Assessing Pain, Sleep, and Anxiety Outcomes After Traumatic Stress Exposure

UNC Libraries(2024)10.17615/x075-zr90

N/A

0DataRank · unranked

0 citations

Steven E. Harte, Kenneth A. Bollen, Lauren A. Hudak, Thomas C. Neylan, Claire Pearson +46 more