Maria Varkanitsa

Also affiliated with University of Massachusetts Boston, Center for Pain and the Brain

NeuroscienceMedicinePsychology

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 7 papers. Top paper: “Aphasia severity prediction using a multi-modal machine learning approach”.

Aphasia severity prediction using a multi-modal machine learning approach

NeuroImage(2025)10.1016/j.neuroimage.2025.121300

N/A

0.330DataRank · unranked

8 citations

Maria Varkanitsa, Emerson Kropp, Margrit Betke, Prakash Ishwar, Swathi Kiran +1 more

Insights gained over 60 years on factors shaping post-stroke aphasia recovery: A commentary on Vignolo (1964)

Cortex(2023)10.1016/j.cortex.2023.12.002

N/A

0.276DataRank · unranked

4 citations

Swathi Kiran, Maria Varkanitsa

Cerebral Small Vessel Disease Burden: An Independent Biomarker for Anomia Treatment Responsiveness in Chronic Stroke Patients With Aphasia

Archives of Physical Medicine and Rehabilitation(2023)10.1016/j.apmr.2023.05.008

N/A

0DataRank · unranked

8 citations

Claudia Peñaloza, Andreas Charidimou, Swathi Kiran, Maria Varkanitsa

The language network ages well: Preserved topography, lateralization, selectivity, and within-network functional connectivity in older brains

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.10.23.619954

N/A

0DataRank · unranked

1 citations

Niharika Jhingan, Maria Varkanitsa, Agata Wolna, Cory Shain, Idan Blank +4 more

Using unsupervised dimensionality reduction to identify lesion patterns predictive of post-stroke aphasia severity

Cortex(2025)10.1016/j.cortex.2025.04.015

N/A

0DataRank · unranked

2 citations

Maria Varkanitsa, Nicole Carvalho, Isaac Falconer, Anne Billot, Mohammad Al-Dabbagh +2 more

A Lesion-Aware Edge-Based Graph Neural Network for Predicting Language Ability in Patients with Post-stroke Aphasia

Lecture notes in computer science(2024)10.1007/978-3-031-78761-4_9

N/A

0DataRank · unranked

2 citations

Maria Varkanitsa, Prakash Ishwar, Janusz Konrad, Margrit Betke, Swathi Kiran +2 more

Resting-state brain network connectivity is an independent predictor of responsiveness to language therapy in chronic post-stroke aphasia

Cortex(2024)10.1016/j.cortex.2023.11.022

N/A

0DataRank · unranked

16 citations

Maria Varkanitsa, Swathi Kiran, Isaac Falconer