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

Riccardo Miotto

Tempus Labs (United States)

ORCID: 0000-0002-7815-6000
Computer ScienceBiochemistry, Genetics and Molecular BiologyHealth Professions

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 1%percentile
7.5Author DataRank

Indexed papers

2in 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 2 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.

Clinical Characteristics of Hospitalized Covid-19 Patients in New York City

medRxiv(2020)10.1101/2020.04.19.20062117
Top 4%
5.4DataRank
Top 4%107 citations

Adam Russak, Jessica K. De Freitas, Anuradha Lala, Riccardo Miotto, Akhil Vaid +38 more

Papers

Driven by 13 papers — median percentile 93. Top paper: “Clinical Characteristics of Hospitalized Covid-19 Patients in New York City”.

Clinical Characteristics of Hospitalized Covid-19 Patients in New York City

medRxiv(2020)10.1101/2020.04.19.20062117
Top 4%
5.4DataRank
Top 4%107 citations

Adam Russak, Jessica K. De Freitas, Anuradha Lala, Riccardo Miotto, Akhil Vaid +38 more

Retrospective cohort study of clinical characteristics of 2199 hospitalised patients with COVID-19 in New York City

BMJ Open(2020)10.1136/bmjopen-2020-040736
Top 10%
2.0DataRank
Top 10%60 citations

Adam Russak, Jessica K. De Freitas, Anuradha Lala, Riccardo Miotto, Akhil Vaid +39 more

Phe2vec: Automated disease phenotyping based on unsupervised embeddings from electronic health records

Patterns(2021)10.1016/j.patter.2021.100337
N/A
1.7DataRank · unranked
47 citations

Kipp W. Johnson, Eddye Golden, Girish N. Nadkarni, Joel T. Dudley, Erwin P. Böttinger +3 more

PatientExploreR: an extensible application for dynamic visualization of patient clinical history from electronic health records in the OMOP common data model

Bioinformatics(2019)10.1093/bioinformatics/btz409
N/A
0.561DataRank · unranked
41 citations

Boris Oskotsky, Phyllis M Thangaraj, Nicholas Giangreco, Marcus A. Badgeley, Kipp W. Johnson +19 more

Contrastive learning improves critical event prediction in COVID-19 patients

Patterns(2021)10.1016/j.patter.2021.100389
N/A
0.292DataRank · unranked
6 citations

Hossein Honarvar, Suraj K. Jaladanki, Chengxi Zang, Nidhi Naik, Sulaiman Somani +13 more

Federated Learning of Electronic Health Records Improves Mortality Prediction in Patients Hospitalized with COVID-19

medRxiv(2020)10.1101/2020.08.11.20172809
N/A
0DataRank · unranked
51 citations

Suraj K. Jaladanki, Jie Xu, Shelly Teng, Arvind Kumar, Samuel Lee +18 more

Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation

Journal of Medical Internet Research(2020)10.2196/24018
N/A
0DataRank · unranked
240 citations

Sulaiman Somani, Adam Russak, Jessica K. De Freitas, Fayzan Chaudhry, Ishan Paranjpe +43 more

Coronavirus 2019 and People Living With Human Immunodeficiency Virus: Outcomes for Hospitalized Patients in New York City

Clinical Infectious Diseases(2020)10.1093/cid/ciaa880
N/A
0DataRank · unranked
244 citations

Talia H. Swartz, Eddye Golden, Ishan Paranjpe, Sulaiman Somani, Felix Richter +18 more

Domain-Specific Event Abstraction

Business Information Systems(2021)10.52825/bis.v1i.39
N/A
0DataRank · unranked
7 citations

Tom Lichtenstein, Martin Meier, Simon Remy, Jan Philipp Sachs, Luise Pufahl +4 more

Predicting hypertension onset from longitudinal electronic health records with deep learning

JAMIA Open(2022)10.1093/jamiaopen/ooac097
N/A
0DataRank · unranked
26 citations

Ariane Morassi Sasso, Nina Kiwit, Subhronil Bose, Girish N. Nadkarni, Riccardo Miotto +2 more

Enhancing convolutional neural network predictions of electrocardiograms with left ventricular dysfunction using a novel sub-waveform representation

Cardiovascular Digital Health Journal(2022)10.1016/j.cvdhj.2022.07.074
N/A
0DataRank · unranked
12 citations

Chirag Agarwal, Sulaiman Somani, Akhil Vaid, Joshua Lampert, Tingyi Wanyan +7 more

Relational Learning Improves Prediction of Mortality in COVID-19 in the Intensive Care Unit

IEEE Transactions on Big Data(2020)10.1109/tbdata.2020.3048644
N/A
0DataRank · unranked
17 citations

Akhil Vaid, Jessica K. De Freitas, Sulaiman Somani, Riccardo Miotto, Girish N. Nadkarni +4 more

Multimodal AI correlates of glucose spikes in people with normal glucose regulation, pre-diabetes and type 2 diabetes

Nature Medicine(2025)10.1038/s41591-025-03849-7
N/A
0DataRank · unranked
17 citations

Jay Pandit, Matteo Gadaleta, Danielle Chiang, Felipe Delgado, Katie Quartuccio +13 more