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

Petar M. Djurić

Stony Brook University

ORCID: 0000-0001-7791-3199

Computer ScienceEngineering

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

0.241Author 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 →

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

Bayesian Nonparametric Dimensionality Reduction of Categorical Data for Predicting Severity of COVID-19 in Pregnant Women

2021 29th European Signal Processing Conference (EUSIPCO)(2021)10.23919/eusipco54536.2021.9616021

Top 61%

0.241DataRank

Top 61%4 citations

Cassandra Heiselman, Anna Fuchs, Mia A. Heiligenstein, Kimberly Herrera, Diana Garretto +2 more

Papers

Driven by 14 papers — median percentile 39. Top paper: “Bayesian Nonparametric Dimensionality Reduction of Categorical Data for Predicting Severity of COVID-19 in Pregnant Women”.

Bayesian Nonparametric Dimensionality Reduction of Categorical Data for Predicting Severity of COVID-19 in Pregnant Women

2021 29th European Signal Processing Conference (EUSIPCO)(2021)10.23919/eusipco54536.2021.9616021

Top 61%

0.241DataRank

Top 61%4 citations

Cassandra Heiselman, Anna Fuchs, Mia A. Heiligenstein, Kimberly Herrera, Diana Garretto +2 more

Unsupervised Detection of Anomalies in Fetal Heart Rate Tracings using Phase Space Reconstruction

2021 29th European Signal Processing Conference (EUSIPCO)(2021)10.23919/eusipco54536.2021.9616264

N/A

0DataRank · unranked

3 citations

Marzieh Ajirak, Cassandra Heiselman, J. Gerald Quirk, Petar M. Djurić, Yang Liu

Microscale multicircuit brain stimulation: Achieving real-time brain state control for novel applications

Current Research in Neurobiology(2022)10.1016/j.crneur.2022.100071

N/A

0DataRank · unranked

6 citations

Sima Mofakham, Charles B. Mikell, Petar M. Djurić, Yuri B. Saalmann

Characterizing Fetal Heart Rate From A State Space Perspective

2022 30th European Signal Processing Conference (EUSIPCO)(2022)10.23919/eusipco55093.2022.9909917

N/A

0DataRank · unranked

1 citations

Guanchao Feng, Cassandra Heiselman, J. Gerald Quirk, Petar M. Djurić, Tong Chen

Cardiotocography analysis by empirical dynamic modeling and Gaussian processes

Frontiers in Bioengineering and Biotechnology(2023)10.3389/fbioe.2022.1057807

N/A

0DataRank · unranked

4 citations

Cassandra Heiselman, J. Gerald Quirk, Petar M. Djurić, Guanchao Feng

An Approach to Learning the Hierarchical Organization of the Frontal Lobe

(2023)10.23919/eusipco58844.2023.10290052

N/A

0DataRank · unranked

1 citations

Duncan Cleveland, Charles B. Mikell, Sima Mofakham, Yuri B. Saalmann, Petar M. Djurić +1 more

Fetal Heart Rate Analysis from a Multi-task Learning Perspective with Gaussian Processes

(2023)10.23919/eusipco58844.2023.10289773

N/A

0DataRank · unranked

0 citations

Guanchao Feng, Cassandra Heiselman, J. Gerald Quirk, Petar M. Djurić, Tong Chen

Learning from Heterogeneous Data with Deep Gaussian Processes

(2023)10.1109/camsap58249.2023.10403447

N/A

0DataRank · unranked

0 citations

Heidi Preis, Marci Lobel, Petar M. Djurić, Marzieh Ajirak

Sequential Detection of Anomalies in Noisy Outputs of an Unknown Function Using Gaussian and Yule-Simon Processes

(2024)10.1109/icassp48485.2024.10446227

N/A

0DataRank · unranked

1 citations

Kurt Butler, Petar M. Djurić, Yang Liu

Learning the hierarchical organization of the frontal lobe with differential causal effects

Science Talks(2024)10.1016/j.sctalk.2024.100329

N/A

0DataRank · unranked

0 citations

Duncan Cleveland, Charles B. Mikell, Sima Mofakham, Yuri B. Saalmann, Petar M. Djurić +1 more

Advancements in Fetal Heart Rate Monitoring: A Report on Opportunities and Strategic Initiatives for Better Intrapartum Care

BJOG An International Journal of Obstetrics & Gynaecology(2025)10.1111/1471-0528.18097

N/A

0DataRank · unranked

17 citations

Martin Däumer, Martin G. Frasch, Austin Ugwumadu, Philip Warrick, Rik Vullings +12 more

Exploring synergies: Advancing neuroscience with machine learning

Signal Processing(2025)10.1016/j.sigpro.2025.110116

N/A

0DataRank · unranked

3 citations

Tülay Adalı, Saeid Sanei, Logan Grosenick, Petar M. Djurić, Marzieh Ajirak

Classification of 12-lead ECGs Using Intra-Heartbeat Discrete-time Fourier Transform and Inter-Heartbeat Attention

Computing in cardiology(2020)10.22489/cinc.2020.307

N/A

0DataRank · unranked

0 citations

I. V. Ramakrishnan, Petar M. Djurić, Ibrahim Hammoud

Fetal Well-Being Prediction with One-Class Gaussian Process Anomaly Detection

(2025)10.23919/eusipco63237.2025.11226585

N/A

0DataRank · unranked

0 citations

Cassandra Heiselman, Petar M. Djurić, Taraneh G. Azarnir