World's Best Scientists 2026 revealed!
Roger G. Mark

Roger G. Mark

D-Index & Metrics

Computer Science

D-Index
61
Citations
41891
World Ranking
2978
National Ranking
1458

Research.com Recognitions

  • 2008 - IEEE Fellow For development of physiologic signal databases and automated arrhythmia analysis
  • 1993 - Fellow of the Indian National Academy of Engineering (INAE)

Overview

Roger G. Mark is affiliated with MIT in the United States and has a research focus primarily in the field of Medicine. Their work spans multiple subfields including Artificial Intelligence, Epidemiology, Cardiology and Cardiovascular Medicine, Surgery, and Health Information Management.

The scientist's research topics emphasize Sepsis Diagnosis and Treatment, Machine Learning in Healthcare, Healthcare Technology and Patient Monitoring, Non-Invasive Vital Sign Monitoring, Emergency and Acute Care Studies, Cardiac, Anesthesia and Surgical Outcomes, and ECG Monitoring and Analysis.

Frequent co-authors collaborating with Roger G. Mark include:

  • Leo Anthony Celi
  • Li-wei H. Lehman
  • Tom Pollard
  • Alistair E. W. Johnson
  • Steven Horng

Roger G. Mark has published extensively in venues such as:

  • Scientific Data
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Critical Care Medicine
  • Critical Care Explorations
  • Computing in cardiology

Notable recent papers include:

  • "MIMIC-IV, a freely accessible electronic health record dataset," 2023, Scientific Data
  • "Author Correction: MIMIC-IV, a freely accessible electronic health record dataset," 2023, Scientific Data
  • "Author Correction: MIMIC-IV, a freely accessible electronic health record dataset," 2023, Scientific Data
  • "Illness severity assessment of older adults in critical illness using machine learning (ELDER-ICU): an international multicentre study with subgroup bias evaluation," 2023, The Lancet Digital Health
  • "A novel artificial intelligence based intensive care unit monitoring system: using physiological waveforms to identify sepsis," 2021, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences

Roger G. Mark has received recognition including the IEEE Fellow award in 2008 for development of physiologic signal databases and automated arrhythmia analysis, and the Fellow of the Indian National Academy of Engineering (INAE) in 1993.

Best Publications

  • PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals.

    Ary L. Goldberger;Luis A. N. Amaral;Leon Glass;Jeffrey M. Hausdorff

  • The impact of the MIT-BIH Arrhythmia Database

    G.B. Moody;R.G. Mark

  • MIMIC-CXR, a de-identified publicly available database of chest radiographs with free-text reports

    Alistair E. W. Johnson;Tom J. Pollard;Seth J. Berkowitz;Nathaniel R. Greenbaum

  • Multiparameter Intelligent Monitoring in Intensive Care II: a public-access intensive care unit database.

    Mohammed Saeed;Mauricio Villarroel;Andrew T. Reisner;Gari Clifford;Gari Clifford

  • A database for evaluation of algorithms for measurement of QT and other waveform intervals in the ECG

    P. Laguna;R.G. Mark;A. Goldberg;G.B. Moody

  • AF classification from a short single lead ECG recording: The PhysioNet/computing in cardiology challenge 2017

    Gari D Clifford;Chengyu Liu;Benjamin Moody;Li-wei H. Lehman

  • An open access database for the evaluation of heart sound algorithms.

    Chengyu Liu;David Springer;Qiao Li;Benjamin Moody

  • The apnea-ECG database

    T. Penzel;G.B. Moody;R.G. Mark;A.L. Goldberger

  • Automated de-identification of free-text medical records

    Ishna Neamatullah;Margaret M Douglass;Li-wei H Lehman;Andrew Tomas Reisner

  • The MIT-BIH Arrhythmia Database on CD-ROM and software for use with it

    G.B. Moody;R.G. Mark

  • PhysioNet: a Web-based resource for the study of physiologic signals

    G.B. Moody;R.G. Mark;A.L. Goldberger

  • Robust heart rate estimation from multiple asynchronous noisy sources using signal quality indices and a Kalman filter.

    Q Li;R G Mark;G D Clifford

  • Computational modeling of cardiovascular response to orthostatic stress

    Thomas Heldt;Eun B. Shim;Roger D. Kamm;Roger G. Mark

  • Power spectral density of unevenly sampled data by least-square analysis: performance and application to heart rate signals

    P. Laguna;G.B. Moody;R.G. Mark

  • MIMIC-CXR: A large publicly available database of labeled chest radiographs

    Alistair E. W. Johnson;Tom J. Pollard;Seth J. Berkowitz;Nathaniel R. Greenbaum

  • A database to support development and evaluation of intelligent intensive care monitoring

    G.B. Moody;R.G. Mark

  • Reducing false alarm rates for critical arrhythmias using the arterial blood pressure waveform

    Anton Aboukhalil;Larry Nielsen;Mohammed Saeed;Roger G. Mark

  • tableone: An open source Python package for producing summary statistics for research papers

    Unknown

  • Classification of normal/abnormal heart sound recordings: The PhysioNet/Computing in Cardiology Challenge 2016

    Gari D. Clifford;Chengyu Liu;Benjamin Moody;David Springer

  • Long-term ST database: a reference for the development and evaluation of automated ischaemia detectors and for the study of the dynamics of myocardial ischaemia.

    F Jager;F Jager;A Taddei;G B Moody;G B Moody;M Emdin

  • Outcome of critically ill patients with acute kidney injury using the Acute Kidney Injury Network criteria.

    Tal Mandelbaum;Daniel Scott;Joon Lee;Roger Greenwood Mark

Frequent Co-Authors

Gari D. Clifford
Gari D. Clifford Emory University
M. Brandon Westover
M. Brandon Westover Harvard University
Ryan P. Adams
Ryan P. Adams Princeton University
Daniel Scott
Daniel Scott University of Waterloo
Chengyu Liu
Chengyu Liu Southeast University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online education is a flexible way to advance your career in technology and related fields. If you are considering alternatives to traditional campus-based study, you may ask: can you get a physics degree online? The answer is yes—many reputable institutions now offer fully online physics programs for learners everywhere.

Data science is another promising field. Those searching for affordable options can look into the cheapest master in data science programs in the USA, which combine flexibility with industry relevance. For students interested in engineering, check out the latest information on electrical engineering degree online admissions and see which programs have the most accessible admissions processes.

If you're seeking a fast track to a high-paying role, consider options like easy certifications that pay well. These certifications can complement your Computer Science degree—or stand alone—to help you enter fast-growing sectors with lucrative salaries. Whatever your goals, online pathways allow you to tailor your learning journey and open up exciting new possibilities in tech.

Best Scientists Citing Roger G. Mark

Trending Scientists