Sumientra Rampersad

NeuroscienceEngineeringMedicine

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 11 papers. Top paper: “Using UncertainSCI to Quantify Uncertainty in Cardiac Simulations”.

Using UncertainSCI to Quantify Uncertainty in Cardiac Simulations

Computing in cardiology(2020)10.22489/cinc.2020.275

N/A

0DataRank · unranked

11 citations

Zexin Liu, Jake Bergquist, Sumientra Rampersad, Dan White, Jess Tate +4 more

Mapping motor cortex stimulation to muscle responses

(2020)10.1145/3389189.3389203

N/A

0DataRank · unranked

10 citations

Mathew Yarossi, Marc Martinez-Gost, Marc A. Sommer, Moritz Dannhauer, Sumientra Rampersad +4 more

Validating Patient-Specific Finite Element Models of Direct Electrocortical Stimulation

Frontiers in Neuroscience(2021)10.3389/fnins.2021.691701

N/A

0DataRank · unranked

6 citations

David J. Caldwell, Sumientra Rampersad, Andrew Janson, Jeffrey G. Ojemann, Dana H. Brooks +4 more

Cubature Kalman Filter Based Training of Hybrid Differential Equation Recurrent Neural Network Physiological Dynamic Models

2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)(2021)10.1109/embc46164.2021.9631038

N/A

0DataRank · unranked

7 citations

Tales Imbiriba, Kyle Lockwood, Sumientra Rampersad, Elie Alhajjar, Giovanna Guidoboni +3 more

UncertainSCI: Uncertainty quantification for computational models in biomedicine and bioengineering

Computers in Biology and Medicine(2022)10.1016/j.compbiomed.2022.106407

N/A

0DataRank · unranked

27 citations

Zexin Liu, Jake Bergquist, Chantel M. Charlebois, Sumientra Rampersad, Lindsay Rupp +5 more

M2M-InvNet: Human Motor Cortex Mapping from Multi-Muscle Response Using TMS and Generative 3D Convolutional Network

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.07.22.501062

N/A

0DataRank · unranked

0 citations

Mathew Yarossi, Sumientra Rampersad, Kyle Lockwood, Aria Masoomi, Eugene Tunik +3 more

Neuromodulatory effects and reproducibility of the most widely used repetitive transcranial magnetic stimulation protocols

PLoS ONE(2023)10.1371/journal.pone.0286465

N/A

0DataRank · unranked

45 citations

Mehmet Akif Özdemir, Elon Mathieson, Sofia Kirkman, Brice Passera, Sumientra Rampersad +7 more

UncertainSCI: A Python Package for NoninvasiveParametric Uncertainty Quantification of Simulation Pipelines

The Journal of Open Source Software(2023)10.21105/joss.04249

N/A

0DataRank · unranked

5 citations

Zexin Liu, Jake Bergquist, Sumientra Rampersad, Dan White, Chantel M. Charlebois +5 more

A Hybrid ODE-NN Framework for Modeling Incomplete Physiological Systems

IEEE Transactions on Biomedical Engineering(2024)10.1109/tbme.2024.3505796

N/A

0DataRank · unranked

1 citations

Kyle Lockwood, Georgios Stratis, Tales Imbiriba, Iulian Ilieş, Sumientra Rampersad +5 more

M2M-InvNet: Human Motor Cortex Mapping From Multi-Muscle Response Using TMS and Generative 3D Convolutional Network

IEEE Transactions on Neural Systems and Rehabilitation Engineering(2024)10.1109/tnsre.2024.3378102

N/A

0DataRank · unranked

2 citations

Mathew Yarossi, Sumientra Rampersad, Kyle Lockwood, Aria Masoomi, Eugene Tunik +3 more

A Real-Time Optimization-Based Approach to Phase-Specific Triggering during Transcranial Current Stimulation

(2025)10.1109/ner61569.2025.11588967

N/A

0DataRank · unranked

0 citations

Joanne Hall, Sumientra Rampersad, Dana Brooks, Alan Dorval, Mathew Yarossi +1 more