🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Mirella Russo

University of Chieti-Pescara

ORCID: 0000-0002-9937-5923

Medicine

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 3 papers. Top paper: “Comparison of Machine Learning-based Approaches to Predict the Conversion to Alzheimer’s Disease from Mild Cognitive Impairment”.

Comparison of Machine Learning-based Approaches to Predict the Conversion to Alzheimer’s Disease from Mild Cognitive Impairment

Neuroscience(2023)10.1016/j.neuroscience.2023.01.029

N/A

0DataRank · unranked

59 citations

Davide Nardini, Mirella Russo, Marco Onofrj, Stefano L. Sensi, Raffaella Franciotti

Understanding barriers and optimizing socio‐cognitive assessment in the diagnosis of neurocognitive disorders

Journal of Neuropsychology(2025)10.1111/jnp.12431

N/A

0DataRank · unranked

14 citations

Marina Boccardi, Claudia Meli, Andrea Panzavolta, Giulia Funghi, Cristina Festari +33 more

Predicting conversion in cognitively normal and mild cognitive impairment individuals with machine learning: Is the CSF status still relevant?

Alzheimer s & Dementia(2025)10.1002/alz.14398

N/A

0DataRank · unranked

3 citations

Davide Nardini, Sara Melchiorre, Consuelo Ciprietti, Gaetano Polito, Miriam Punzi +6 more