D-Index & Metrics Best Publications
Research.com 2022 Best Scientist Award Badge
Medicine
Netherlands
2022

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Medicine D-index 153 Citations 90,752 1,091 World Ranking 371 National Ranking 8
Best Scientists D-index 161 Citations 104,957 1,381 World Ranking 804 National Ranking 10

Research.com Recognitions

Awards & Achievements

2022 - Research.com Best Scientist Award

2022 - Research.com Medicine in Netherlands Leader Award

2019 - Royal Netherlands Academy of Arts and Sciences

Overview

What is he best known for?

The fields of study he is best known for:

  • Internal medicine
  • Surgery
  • Cancer

Ewout W. Steyerberg mainly focuses on Surgery, Internal medicine, Logistic regression, Randomized controlled trial and Traumatic brain injury. His Surgery study frequently involves adjacent topics like Odds ratio. His Internal medicine research is multidisciplinary, incorporating elements of Gastroenterology, Pathology, Oncology and Cardiology.

The various areas that Ewout W. Steyerberg examines in his Logistic regression study include Multivariate analysis, Sample size determination, Econometrics and Receiver operating characteristic. As a part of the same scientific study, Ewout W. Steyerberg usually deals with the Randomized controlled trial, concentrating on Clinical trial and frequently concerns with Intensive care medicine and Research design. His research in Traumatic brain injury focuses on subjects like Emergency medicine, which are connected to Confidence interval.

His most cited work include:

  • Assessing the performance of prediction models: a framework for traditional and novel measures. (2233 citations)
  • Clinical Prediction Models (2017 citations)
  • Internal validation of predictive models: efficiency of some procedures for logistic regression analysis. (1609 citations)

What are the main themes of his work throughout his whole career to date?

His scientific interests lie mostly in Internal medicine, Surgery, Oncology, Logistic regression and Randomized controlled trial. His work deals with themes such as Gastroenterology and Cardiology, which intersect with Internal medicine. His work on Radiology expands to the thematically related Surgery.

His Logistic regression research includes elements of Odds ratio and Receiver operating characteristic. His study looks at the intersection of Odds ratio and topics like Traumatic brain injury with Intensive care medicine. The Randomized controlled trial study combines topics in areas such as Physical therapy and Clinical trial.

He most often published in these fields:

  • Internal medicine (33.77%)
  • Surgery (19.09%)
  • Oncology (10.27%)

What were the highlights of his more recent work (between 2017-2021)?

  • Internal medicine (33.77%)
  • Traumatic brain injury (13.30%)
  • Emergency medicine (12.27%)

In recent papers he was focusing on the following fields of study:

His primary areas of study are Internal medicine, Traumatic brain injury, Emergency medicine, Predictive modelling and Cohort study. His Internal medicine study frequently intersects with other fields, such as Oncology. Ewout W. Steyerberg usually deals with Traumatic brain injury and limits it to topics linked to Odds ratio and Randomized controlled trial.

His Emergency medicine research incorporates themes from Observational study, Interquartile range, Prospective cohort study and Cohort. His study in Predictive modelling is interdisciplinary in nature, drawing from both External validation, Sample size determination and Artificial intelligence. His Confidence interval research is multidisciplinary, relying on both Logistic regression and Receiver operating characteristic.

Between 2017 and 2021, his most popular works were:

  • Prediction models for diagnosis and prognosis of covid-19 infection: systematic review and critical appraisal (972 citations)
  • A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models (283 citations)
  • Reporting and Interpreting Decision Curve Analysis: A Guide for Investigators. (129 citations)

In his most recent research, the most cited papers focused on:

  • Internal medicine
  • Surgery
  • Cancer

Ewout W. Steyerberg focuses on Predictive modelling, Traumatic brain injury, Internal medicine, Emergency medicine and Confidence interval. His Predictive modelling study combines topics in areas such as Calibration, Sample size determination and Artificial intelligence. His Traumatic brain injury study integrates concerns from other disciplines, such as Intensive care medicine, Glasgow Coma Scale, Meta-analysis, Intracranial pressure and Neurosurgery.

His research on Internal medicine often connects related areas such as Cardiology. His Emergency medicine study also includes fields such as

  • Head injury which intersects with area such as Emergency department and Covariate,
  • Comparative effectiveness research which intersects with area such as Randomized controlled trial, Trauma center and Neuroradiology. His biological study spans a wide range of topics, including Odds ratio and Logistic regression.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Clinical Prediction Models

Ewout W. Steyerberg.
(2009)

3533 Citations

Assessing the performance of prediction models: a framework for traditional and novel measures.

Ewout W. Steyerberg;Andrew J. Vickers;Nancy R. Cook;Thomas Gerds.
Epidemiology (2010)

2848 Citations

Internal validation of predictive models: efficiency of some procedures for logistic regression analysis.

Ewout W Steyerberg;Frank E Harrell;Gerard J.J.M Borsboom;M.J.C Eijkemans.
Journal of Clinical Epidemiology (2001)

2059 Citations

Extensions of net reclassification improvement calculations to measure usefulness of new biomarkers

Michael J. Pencina;Ralph B. D'Agostino;Ewout W. Steyerberg.
Statistics in Medicine (2011)

1866 Citations

Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): explanation and elaboration.

Karel G.M. Moons;Douglas G. Altman;Johannes B. Reitsma;John P.A. Ioannidis.
Annals of Internal Medicine (2015)

1728 Citations

Neoadjuvant chemoradiotherapy plus surgery versus surgery alone for oesophageal or junctional cancer (CROSS): long-term results of a randomised controlled trial

Joel Shapiro;J Jan B van Lanschot;Maarten C C M Hulshof;Pieter van Hagen.
Lancet Oncology (2015)

1324 Citations

Predictors of outcome in patients with acute coronary syndromes without persistent ST-segment elevation. Results from an international trial of 9461 patients. The PURSUIT Investigators.

Eric Boersma;Karen S. Pieper;Ewout W. Steyerberg;Robert G. Wilcox.
Circulation (2000)

1304 Citations

Prediction models for diagnosis and prognosis of covid-19 infection: systematic review and critical appraisal

Laure Wynants;Laure Wynants;Ben Van Calster;Ben Van Calster;Gary S Collins;Gary S Collins;Richard D Riley.
BMJ (2020)

1061 Citations

Predicting outcome after traumatic brain injury: practical prognostic models based on large cohort of international patients.

Pablo Perel;Miguel Arango;Tim Clayton.
BMJ (2008)

1010 Citations

Predicting outcome after traumatic brain injury: development and international validation of prognostic scores based on admission characteristics.

Ewout W Steyerberg;Nino Mushkudiani;Pablo Perel;Isabella Butcher.
PLOS Medicine (2008)

997 Citations

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