Ali Khalvandi

Also affiliated with Laser Research Institute

EngineeringMaterials ScienceBiochemistry, Genetics and Molecular Biology

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 1 paper. Top paper: “Data-driven supervised machine learning to predict the compressive response of porous PVA/Gelatin hydrogels and in-vitro assessments: Employing design of experiments”.

Data-driven supervised machine learning to predict the compressive response of porous PVA/Gelatin hydrogels and in-vitro assessments: Employing design of experiments

International Journal of Biological Macromolecules(2023)10.1016/j.ijbiomac.2023.126906

N/A

0DataRank · unranked

20 citations

Lobat Tayebi, Saeed Kamarian, Saeed Saber‐Samandari, Jung‐il Song, Ali Khalvandi