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

Natalie Parde

University of Illinois Chicago

ORCID: 0000-0003-0072-7499

Also affiliated with University of Chicago, Artificial Intelligence in Medicine (Canada)

Computer ScienceMedicine

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 4%percentile
0.801Author DataRank

Indexed papers

4in 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 4 indexed papers 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.

Towards Intelligent Clinically-Informed Language Analyses of People with Bipolar Disorder and Schizophrenia

(2022)10.18653/v1/2022.findings-emnlp.208
Top 39%
0.496DataRank
Top 39%8 citations

Avery Quynh, Varsha D. Badal, Amy E. Pinkham, Philip D. Harvey, Colin A. Depp +2 more

Papers

Driven by 9 papers — median percentile 29. Top paper: “Towards Intelligent Clinically-Informed Language Analyses of People with Bipolar Disorder and Schizophrenia”.

Towards Intelligent Clinically-Informed Language Analyses of People with Bipolar Disorder and Schizophrenia

(2022)10.18653/v1/2022.findings-emnlp.208
Top 39%
0.496DataRank
Top 39%8 citations

Avery Quynh, Varsha D. Badal, Amy E. Pinkham, Philip D. Harvey, Colin A. Depp +2 more

Using LLMs to Aid Annotation and Collection of Clinically-Enriched Data in Bipolar Disorder and Schizophrenia

arXiv (Cornell University)(2024)10.48550/arxiv.2406.12687
Top 65%
0.201DataRank
Top 65%2 citations

Avery Quynh, Pamela Osseyi, Amy E. Pinkham, Philip D. Harvey, Brenda Curtis +3 more

CareCorpus+: Expanding and Augmenting Caregiver Strategy Data to Support Pediatric Rehabilitation

DiVA at Umeå University (Umeå University)(2024)10.18653/v1/2024.emnlp-main.392
Top 78%
0.104DataRank
Top 78%1 citations

Ivana Lucero, Vivian Villegas, Vera Kaelin, Mary A. Khetani, Natalie Parde +1 more

Pouring Your Heart Out: Investigating the Role of Figurative Language in Online Expressions of Empathy

(2024)10.18653/v1/2024.acl-long.31
N/A
0DataRank · unranked
1 citations

Christina W.Y. Wong, Meghan Guo, Natalie Parde, Gyeongeun Lee

From Heart to Words: Generating Empathetic Responses via Integrated Figurative Language and Semantic Context Signals

(2025)10.18653/v1/2025.findings-acl.231
N/A
0DataRank · unranked
0 citations

Zhu Wang, Sathya N. Ravi, Natalie Parde, Gyeongeun Lee

Machine learning models to detect opioid misuse in Emergency Department patients at triage

medRxiv(2025)10.1101/2025.07.18.25331782
N/A
0DataRank · unranked
0 citations

Usman Shahid, Natalie Parde, Sami Muslmani, Huiyi Hu, Dillon Thorpe +4 more

Unveiling Empathic Triggers in Online Interactions via Empathy Cause Identification

(2025)10.18653/v1/2025.ijcnlp-long.49
N/A
0DataRank · unranked
0 citations

Gyeongeun Lee, Natalie Parde, Calliope Chloe Bandera

Are You Really Okay? A Transfer Learning-based Approach for Identification of Underlying Mental Illnesses

(2022)10.18653/v1/2022.clpsych-1.8
N/A
0DataRank · unranked
2 citations

Natalie Parde, Ankit Aich

Lessons learned: Development of COVID-19 clinical staging models at a large urban research institution

Journal of Clinical and Translational Science(2023)10.1017/cts.2023.26
Top 100%
0DataRank
Top 100%0 citations

Lelia H. Chaisson, William Galanter, Arash Jalali, Martha Menchaca, Natalie Parde +4 more