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

Adam Russak

Mount Sinai Health System

ORCID: 0000-0003-0042-0067

Also affiliated with Hasso Plattner Institute, Rogers (United States), Icahn School of Medicine at Mount Sinai

MedicineComputer 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 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 7 papers — median percentile 93. Top paper: “Prevalence and Impact of Myocardial Injury in Patients Hospitalized With COVID-19 Infection”.

Prevalence and Impact of Myocardial Injury in Patients Hospitalized With COVID-19 Infection

Journal of the American College of Cardiology(2020)10.1016/j.jacc.2020.06.007
N/A
14.7DataRank · unranked
749 citations

Kipp W. Johnson, James L. Januzzi, Adam Russak, Ishan Paranjpe, Felix Richter +17 more

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

Using Deep-Learning Algorithms to Simultaneously Identify Right and Left Ventricular Dysfunction From the Electrocardiogram

JACC. Cardiovascular imaging(2021)10.1016/j.jcmg.2021.08.004
N/A
3.6DataRank · unranked
114 citations

Kipp W. Johnson, Marcus A. Badgeley, Sulaiman Somani, Mesude Bicak, Isotta Landi +14 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

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
0.823DataRank · unranked
240 citations

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

Development of a machine learning model using electrocardiogram signals to improve acute pulmonary embolism screening

European Heart Journal - Digital Health(2021)10.1093/ehjdh/ztab101
N/A
0.533DataRank · unranked
34 citations

Hossein Honarvar, Sukrit Narula, Isotta Landi, Shawn Lee, Yeraz Khachatoorian +15 more

Prevalence and Impact of Myocardial Injury in Patients Hospitalized with COVID-19 Infection

medRxiv(2020)10.1101/2020.04.20.20072702
N/A
0DataRank · unranked
143 citations

Kipp W. Johnson, James L. Januzzi, Adam Russak, Ishan Paranjpe, Shan Zhao +16 more