Surgical skill level classification model development using EEG and eye-gaze data and machine learning algorithms is a research paper published in Journal of Robotic Surgery (2023). On theSindex it has a DataRank of 0.803. It has been cited 24 times, with 21 citing works in its 1-hop citation network.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
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Base Score Contribution
0.483
From this paper's citation signal
Citation Network Contribution
0.320
From 10 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 21 citers.
National Institutes of Health
Grant: 5P30CA016056-40
Roswell Park Cancer Institute Cancer Center Support Grant
National Institutes of Health
Grant: 1R01EB029398-01
Synchronized brain dynamics and eye movement trajectory for objective evaluation of robot-assisted surgical skills
NCI NIH HHS
Grant: P30 CA016056
NIBIB NIH HHS
Grant: R01 EB029398
FWCI
4.07
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals