Matthew Gombolay

Computer SciencePsychologyEngineering

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 machine learning to predict perfusionists’ critical decision-making during cardiac surgery”.

Using machine learning to predict perfusionists’ critical decision-making during cardiac surgery

Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization(2021)10.1080/21681163.2021.2002724

N/A

0DataRank · unranked

10 citations

Marco A. Zenati, Geoffrey Rance, Rithy Srey, David Arney, Liang Chen +4 more

Assessing Team Situational Awareness in the Operating Room via Computer Vision

PubMed(2022)10.1109/cogsima54611.2022.9830664

N/A

0DataRank · unranked

15 citations

Lauren R. Kennedy-Metz, Steven Yule, Matthew Gombolay, Marco A. Zenati, Roger D. Dias

Review of Machine Learning and Artificial Intelligence (ML/AI) for the Pediatric Neurologist

Pediatric Neurology(2023)10.1016/j.pediatrneurol.2023.01.004

N/A

0DataRank · unranked

49 citations

Nakul Gopalan, Andrea Bernasconi, Rima Nabbout, Jonathan Thomas Megerian, Benjamin V. Siegel +4 more

Using Digital Biomarkers for Objective Assessment of Perfusionists’ Workload and Acute Stress During Cardiac Surgery

Lecture notes in computer science(2023)10.1007/978-3-031-34953-9_35

N/A

0DataRank · unranked

7 citations

Lauren R. Kennedy-Metz, Rithy Srey, Geoffrey Rance, Rayan Ebnali Harari, David Arney +3 more

Towards the design of user-centric strategy recommendation systems for collaborative Human–AI tasks

International Journal of Human-Computer Studies(2024)10.1016/j.ijhcs.2023.103216

N/A

0DataRank · unranked

34 citations

Pradyumna Tambwekar, Erin Hedlund-Botti, Matthew Gombolay, Lakshita Dodeja

Effects of explainable artificial intelligence in neurology decision support

Annals of Clinical and Translational Neurology(2024)10.1002/acn3.52036

N/A

0DataRank · unranked

26 citations

Andrew Silva, Mariah Schrum, Nakul Gopalan, Jamika Hallman‐Cooper, Monideep Dutt +2 more

Deep Learning Analysis of Surgical Video Recordings to Assess Nontechnical Skills

JAMA Network Open(2024)10.1001/jamanetworkopen.2024.22520

N/A

0DataRank · unranked

22 citations

Roger D. Dias, Lauren R. Kennedy-Metz, Giovanna Varni, Matthew Gombolay, Steven Yule +3 more

A Clinician-Centered Explainable Artificial Intelligence Framework for Decision Support in the Operating Theatre

PubMed(2024)10.31256/hsmr2024.18

N/A

0DataRank · unranked

6 citations

VA Boston Healthcare System, Cape Code Healthcare, Ryan Harari, Marco A Zenati, Geoffrey Rance +4 more

Mixed-Initiative Human-Robot Teaming under Suboptimality with Online Bayesian Adaptation

arXiv (Cornell University)(2024)10.48550/arxiv.2403.16178

N/A

0DataRank · unranked

2 citations

Chunyue Xue, Sanne van Waveren, Karen M. Feigh, Matthew Gombolay, Manisha Natarajan

Delivery of oxygen during cardiopulmonary bypass and associated clinical outcomes among adult cardiac surgery patients: A systematic review

Perfusion(2025)10.1177/02676591251380659

N/A

0DataRank · unranked

5 citations

Paulo Borges, Geoffrey Rance, Rithy Srey, L Metz, Annette Martinez-Rioux +12 more

Better Than Diverse Demonstrators: Reward Decomposition From Suboptimal and Heterogeneous Demonstrations

IEEE Robotics and Automation Letters(2025)10.1109/lra.2025.3572771

N/A

0DataRank · unranked

1 citations

Letian Chen, Matthew Gombolay, Chunyue Xue