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

Kayvan Najarian

Association for Asian Studies

ORCID: 0000-0003-4485-6612

Also affiliated with University of Michigan, Michigan Medicine, Center for Assessment, Ann Arbor Center for Independent Living

EngineeringMedicineComputer Science

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 6%percentile
0.293Author DataRank

Indexed papers

1in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology
Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 1 indexed paper attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

Top data-sharing exemplar

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

Continuous sepsis trajectory prediction using tensor-reduced physiological signals

Scientific Reports(2024)10.1038/s41598-024-68901-x
Top 56%
0.293DataRank
Top 56%4 citations

Joshua Pickard, Winston Zhang, Shuyang Cheng, Harm Derksen, Gilbert S. Omenn +4 more

Papers

Driven by 21 papers — median percentile 44. Top paper: “A hierarchical expert-guided machine learning framework for clinical decision support systems: an application to traumatic brain injury prognostication”.

A hierarchical expert-guided machine learning framework for clinical decision support systems: an application to traumatic brain injury prognostication

npj Digital Medicine(2021)10.1038/s41746-021-00445-0
N/A
0.617DataRank · unranked
60 citations

Craig A. Williamson, Jonathan Gryak, Kayvan Najarian, Negar Farzaneh

Utilization of smartphone and tablet camera photographs to predict healing of diabetes-related foot ulcers

Computers in Biology and Medicine(2020)10.1016/j.compbiomed.2020.104042
N/A
0.581DataRank · unranked
47 citations

Jonathan Gryak, Abinash Mishra, Can Cui, S. M. Reza Soroushmehr, Kayvan Najarian +2 more

Automated Segmentation and Severity Analysis of Subdural Hematoma for Patients with Traumatic Brain Injuries

Diagnostics(2020)10.3390/diagnostics10100773
N/A
0.550DataRank · unranked
38 citations

Craig A. Williamson, Cheng Jiang, Ashok Srinivasan, Jayapalli Rajiv Bapuraj, Jonathan Gryak +3 more

Continuous sepsis trajectory prediction using tensor-reduced physiological signals

Scientific Reports(2024)10.1038/s41598-024-68901-x
Top 56%
0.293DataRank
Top 56%4 citations

Joshua Pickard, Winston Zhang, Shuyang Cheng, Harm Derksen, Gilbert S. Omenn +4 more

Predicting need for heart failure advanced therapies using an interpretable tropical geometry-based fuzzy neural network

PLoS ONE(2023)10.1371/journal.pone.0295016
N/A
0.208DataRank · unranked
3 citations

Keith D. Aaronson, Jonathan Gryak, Emily Wittrup, Cristian Minoccheri, Jessica R. Golbus +2 more

Association between symptoms, affect and heart rhythm in patients with persistent or paroxysmal atrial fibrillation: an ambulatory pilot study

American Heart Journal(2021)10.1016/j.ahj.2021.06.003
N/A
0DataRank · unranked
6 citations

Anna L. Kratz, Sangeeta Lathkar‐Pradhan, Kayvan Najarian, Jonathan Gryak, Zhi Li +5 more

A deep learning framework for automated detection and quantitative assessment of liver trauma

BMC Medical Imaging(2022)10.1186/s12880-022-00759-9
N/A
0DataRank · unranked
27 citations

Erica B. Stein, S. M. Reza Soroushmehr, Jonathan Gryak, Kayvan Najarian, Negar Farzaneh

Identifying potential candidates for advanced heart failure therapies using an interpretable machine learning algorithm

The Journal of Heart and Lung Transplantation(2022)10.1016/j.healun.2022.08.028
N/A
0DataRank · unranked
9 citations

Jessica R. Golbus, Jonathan Gryak, Francis D. Pagani, Keith D. Aaronson, Kayvan Najarian +1 more

Quadratic Multilinear Discriminant Analysis for Tensorial Data Classification

Algorithms(2023)10.3390/a16020104
N/A
0DataRank · unranked
2 citations

Olivia Alge, Jonathan Gryak, Kayvan Najarian, Harm Derksen, Cristian Minoccheri

AI-Based Computational Methods in Early Drug Discovery and Post Market Drug Assessment: A Survey

IEEE Transactions on Computational Biology and Bioinformatics(2024)10.1109/tcbb.2024.3492708
N/A
0DataRank · unranked
16 citations

Cristian Minoccheri, Emily Wittrup, Richard Wilson, Brian D. Athey, Gilbert S. Omenn +2 more

Prediction of pediatric peanut oral food challenge outcomes using machine learning

Journal of Allergy and Clinical Immunology Global(2024)10.1016/j.jacig.2024.100252
N/A
0DataRank · unranked
13 citations

Aleksandra Georgievska, Justin Zhang, Kayvan Najarian, Rajan Ravikumar, Georgiana Sanders +2 more

Learning using privileged information with logistic regression on acute respiratory distress syndrome detection

Artificial Intelligence in Medicine(2024)10.1016/j.artmed.2024.102947
N/A
0DataRank · unranked
6 citations

Shuyang Cheng, Emily Wittrup, Jonathan Gryak, Kayvan Najarian, Zijun Gao

AXpert: human expert facilitated privacy-preserving large language models for abdominal X-ray report labeling

JAMIA Open(2024)10.1093/jamiaopen/ooaf008
N/A
0DataRank · unranked
4 citations

Joseph G. Kohne, Katelyn Webster, Rebecca Vartanian, Emily Wittrup, Kayvan Najarian +1 more

Three-Stage Framework for Accurate Pediatric Chest X-ray Diagnosis Using Self-Supervision and Transfer Learning on Small Datasets

Diagnostics(2024)10.3390/diagnostics14151634
N/A
0DataRank · unranked
6 citations

Joseph G. Kohne, Emily Wittrup, Kayvan Najarian, Yufeng Zhang

Identification of digital twins to guide interpretable AI for diagnosis and prognosis in heart failure

npj Digital Medicine(2025)10.1038/s41746-025-01501-9
N/A
0DataRank · unranked
26 citations

Andreas Meyer, Filip Ježek, S Z Zhang, Tonimarie Catalan, Alexandria Miller +13 more

Osteoarthritis of the Temporomandibular Joint can be diagnosed earlier using biomarkers and machine learning

Scientific Reports(2020)10.1038/s41598-020-64942-0
N/A
0DataRank · unranked
130 citations

Antônio Carlos de Oliveira Ruellas, João Roberto Gonçalves, Beatriz Paniagua, Juan Carlos Prieto, Martin Styner +13 more

Leveraging Language Models for Automated Label Generation in Traumatic Brain Injury Radiology Reports

Research Square(2025)10.21203/rs.3.rs-8051129/v1
N/A
0DataRank · unranked
0 citations

Craig A. Williamson, Andrew Nguyen, Emily Wittrup, Kayvan Najarian, Lingrui Cai

Robust segmentation of lung in chest x-ray: applications in analysis of acute respiratory distress syndrome

BMC Medical Imaging(2020)10.1186/s12880-020-00514-y
N/A
0DataRank · unranked
51 citations

Michael W. Sjoding, Harm Derksen, Elyas Sabeti, Jonathan Gryak, Ryan P. Barbaro +3 more

Learning Using Partially Available Privileged Information and Label Uncertainty: Application in Detection of Acute Respiratory Distress Syndrome

IEEE Journal of Biomedical and Health Informatics(2020)10.1109/jbhi.2020.3008601
N/A
0DataRank · unranked
22 citations

Joshua Drews, Narathip Reamaroon, Elisa Warner, Michael W. Sjoding, Jonathan Gryak +2 more

Detection of Low Cardiac Index Using a Polyvinylidene Fluoride-Based Wearable Ring and Convolutional Neural Networks

IEEE Sensors Journal(2020)10.1109/jsen.2020.3022273
N/A
0DataRank · unranked
5 citations

Jessica R. Golbus, Mohamad Hakam Tiba, Brendan M. McCracken, Lu Wang, Keith D. Aaronson +4 more

Automated detection of acute respiratory distress syndrome from chest X-Rays using Directionality Measure and deep learning features

Computers in Biology and Medicine(2021)10.1016/j.compbiomed.2021.104463
N/A
0DataRank · unranked
30 citations

Michael W. Sjoding, Jonathan Gryak, Brian D. Athey, Kayvan Najarian, Harm Derksen +1 more