ScholarIQanswers from OpenAlex
Saudi Heart Association
InstitutionResearch output, impact & collaborations
Saudi Heart Association is a institution indexed in ScholarIQ from OpenAlex.
What is known about Saudi Heart Association?
ScholarIQrecord summary
Saudi Heart Association is a research organisation in Riyadh, SA. OpenAlex records 2,105 works and 236,553 citations for it. 1,124 researchers list it as their most recent affiliation.
How many works does Saudi Heart Association have?
ScholarIQindexed works
Saudi Heart Association has 2,105 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.
How many citations does Saudi Heart Association have?
ScholarIQcitation count
Saudi Heart Association has 236,553 citations in the OpenAlex counts ScholarIQ stores.
How many researchers are at Saudi Heart Association?
ScholarIQresearcher count
Saudi Heart Association has 1,124 researchers in the ScholarIQ index.
What is the average h-index at Saudi Heart Association?
ScholarIQavg h-index
Saudi Heart Association has an average h-index of 12 in OpenAlex.
What is the ROR of Saudi Heart Association?
ScholarIQror
The ROR for Saudi Heart Association is on the source record.
What is the OpenAlex record for Saudi Heart Association?
ScholarIQopenalex
The OpenAlex for Saudi Heart Association is on the source record.
Who are the most-cited researchers behind Saudi Heart Association?
ScholarIQtop researchers by citations
What are the most-cited papers on Saudi Heart Association?
ScholarIQmost cited works
Deep learning for time series classification: a review
Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Müller
Transfer learning for time series classification
Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Müller
Adversarial Attacks on Deep Neural Networks for Time Series Classification
Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Müller
Evaluating Surgical Skills from Kinematic Data Using Convolutional Neural Networks
Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Müller
Accurate and interpretable evaluation of surgical skills from kinematic data using fully convolutional neural networks
Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Müller
How much of the research on Saudi Heart Association is open access?
ScholarIQopen access share
100%OPEN ACCESS