Moti Freiman
Technion – Israel Institute of Technology
ORCID: 0000-0003-1083-1548Pilot 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.
Indexed papers
Why this DataRank?
An author's DataRank is the sum of the DataRanks of all 1 indexed paper attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.
Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.
Read the full methodology →Papers
Driven by 4 papers. Top paper: “Radiomics-based Machine Learning Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer Using Physiologically Decomposed Diffusion-weighted MRI”.
Savannah C. Partridge, Mami Iima, Rebecca Rakow‐Penner, Moti Freiman, Maya Gilad
Maya Gilad, Moti Freiman, Shir Nitzan
Yael Zaffrani-Reznikov, Onur Afacan, Sila Kurugol, Simon K. Warfield, Moti Freiman +1 more
Onur Afacan, Simon K. Warfield, Moti Freiman, Samah Khawaled