Saccade Landing Point Prediction Based on Fine-Grained Learning Method is a research paper published in IEEE Access (2021). On theSindex it has a DataRank of 0. It has been cited 13 times.
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?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full — never from an abstract alone.
Project BIBECA through MINECO/FEDER
Grant: RTI2018-101248-B-100
Jose Castillejo Program through MINECO
Grant: CAS17/00117
National Institutes of Health
Grant: P30EY003790
National Institutes of Health
Grant: R21EY023724
National Institutes of Health
Grant: 5R21EY023724-02
Improvements to gaze-contingent visual display systems
National Institutes of Health
Grant: 5P30EY003790-10
CORE GRANT FOR VISION RESEARCH
FWCI
1.07
Citation Percentile
0.8%
Citation Trend
Fields of Study
Keywords