Monica Dimambro

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: “Using natural language processing to evaluate temporal patterns in suicide risk variation among high-risk Veterans”.

Using natural language processing to evaluate temporal patterns in suicide risk variation among high-risk Veterans

Psychiatry Research(2024)10.1016/j.psychres.2024.116097

N/A

0DataRank · unranked

9 citations

Joshua Levy, Monica Dimambro, Vincent Dufort, Dana J Ludmer, Matan Goldberg +2 more

Using Natural Language Processing to develop risk-tier specific suicide prediction models for Veterans Affairs patients

Journal of Psychiatric Research(2024)10.1016/j.jpsychires.2024.09.031

N/A

0DataRank · unranked

9 citations

Monica Dimambro, Joshua Levy, Brian Shiner, Maxwell Levis

Investigating the Differential Impact of Psychosocial Factors by Patient Characteristics and Demographics on Veteran Suicide Risk Through Machine Learning Extraction of Cross-Modal Interactions

PubMed(2024)10.1142/9789819807024_0013

N/A

0DataRank · unranked

3 citations

Monica Dimambro, Alos Diallo, Jiang Gui, Brian Shiner, Maxwell Levis +1 more