D-Index & Metrics Best Publications

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 89 Citations 29,740 400 World Ranking 6268 National Ranking 185

Overview

What is he best known for?

The fields of study he is best known for:

  • Internal medicine
  • Radiology
  • Surgery

His primary areas of investigation include Radiology, Nuclear medicine, Lung cancer, Tomography and Lung cancer screening. His research integrates issues of Malignancy, Lung and Confidence interval in his study of Radiology. His studies deal with areas such as Ct technology, Nodule, Ultrasound and Multidetector ct as well as Nuclear medicine.

His Lung cancer study combines topics in areas such as Respiratory disease, Clinical trial, Randomized controlled trial, Surgery and Mass screening. His Tomography study also includes

  • Segmentation that intertwine with fields like Medical imaging,
  • Artificial intelligence which intersects with area such as Pulmonary nodule and Computed tomography. His Lung cancer screening research incorporates themes from Algorithm, COPD, Data set and Air trapping.

His most cited work include:

  • Diagnostic accuracy of 64-slice computed tomography coronary angiography: a prospective, multicenter, multivendor study. (986 citations)
  • Guidelines for Management of Incidental Pulmonary Nodules Detected on CT Images: From the Fleischner Society 2017 (685 citations)
  • Management of lung nodules detected by volume CT scanning (621 citations)

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

Mathias Prokop mainly investigates Radiology, Nuclear medicine, Angiography, Computed tomography and Internal medicine. His study in Radiology is interdisciplinary in nature, drawing from both Lung cancer and Lung. His Lung cancer research integrates issues from Cancer, Malignancy, Respiratory disease and Mass screening.

Mathias Prokop has researched Nuclear medicine in several fields, including Tomography, Ultrasound, Radiography and Contrast. His Radiography research is multidisciplinary, incorporating perspectives in Computed radiography and Thorax. His work carried out in the field of Internal medicine brings together such families of science as Surgery and Cardiology.

He most often published in these fields:

  • Radiology (55.19%)
  • Nuclear medicine (28.05%)
  • Angiography (12.57%)

What were the highlights of his more recent work (between 2015-2021)?

  • Radiology (55.19%)
  • Nuclear medicine (28.05%)
  • Lung cancer (10.20%)

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

His primary areas of study are Radiology, Nuclear medicine, Lung cancer, Artificial intelligence and Lung. Radiology and Malignancy are frequently intertwined in his study. His Nuclear medicine research includes themes of Contrast, Ultrasound, Scanner, Pulmonary embolism and Computed tomography.

His work on Ct screening as part of general Lung cancer research is frequently linked to Lung cancer staging, bridging the gap between disciplines. His Artificial intelligence research is multidisciplinary, relying on both Chest ct and Pattern recognition. His studies examine the connections between Lung cancer screening and genetics, as well as such issues in Solitary pulmonary nodule, with regards to Interventional radiology.

Between 2015 and 2021, his most popular works were:

  • Guidelines for Management of Incidental Pulmonary Nodules Detected on CT Images: From the Fleischner Society 2017 (685 citations)
  • The Role of Chest Imaging in Patient Management during the COVID-19 Pandemic: A Multinational Consensus Statement from the Fleischner Society (550 citations)
  • Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge. (363 citations)

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

  • Internal medicine
  • Surgery
  • Radiology

His main research concerns Radiology, Lung cancer, Nodule, Lung cancer screening and Lung. The various areas that Mathias Prokop examines in his Radiology study include Segmentation, Malignancy and Nuclear medicine. The concepts of his Nuclear medicine study are interwoven with issues in Pulmonary embolism, Prospective cohort study, Full width at half maximum and Radiography.

His work deals with themes such as Metastasis and Cohort, which intersect with Lung cancer. His biological study spans a wide range of topics, including Individual risk factors, Differential diagnosis, Chest ct, Deep learning and Medical physics. His research in Lung cancer screening intersects with topics in Cancer, Cancer screening, Interventional radiology and Solitary pulmonary nodule.

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

Diagnostic accuracy of 64-slice computed tomography coronary angiography: a prospective, multicenter, multivendor study.

W. Bob Meijboom;Matthijs F.L. Meijs;Joanne D. Schuijf;Maarten J. Cramer.
Journal of the American College of Cardiology (2008)

1360 Citations

Guidelines for Management of Incidental Pulmonary Nodules Detected on CT Images: From the Fleischner Society 2017

Heber MacMahon;David P. Naidich;Jin Mo Goo;Kyung Soo Lee.
Radiology (2017)

1029 Citations

Management of lung nodules detected by volume CT scanning

Rob J van Klaveren;Matthijs Oudkerk;Mathias Prokop;Ernst T Scholten.
The New England Journal of Medicine (2009)

853 Citations

The Role of Chest Imaging in Patient Management during the COVID-19 Pandemic: A Multinational Consensus Statement from the Fleischner Society

Geoffrey D. Rubin;Christopher J. Ryerson;Linda B. Haramati;Nicola Sverzellati.
Chest (2020)

836 Citations

Computer analysis of computed tomography scans of the lung: a survey

I. Sluimer;A. Schilham;M. Prokop;B. van Ginneken.
IEEE Transactions on Medical Imaging (2006)

673 Citations

Spiral and Multislice Computed Tomography of the Body

Mathias Prokop;Michael Galanski;Aart J. van der Molen;Cornelia Schaefer-Prokop.
(2003)

487 Citations

Reduced Lung-Cancer Mortality with Volume CT Screening in a Randomized Trial

Harry J de Koning;Carlijn M van der Aalst;Pim A de Jong;Ernst T Scholten.
The New England Journal of Medicine (2020)

468 Citations

British Thoracic Society guidelines for the investigation and management of pulmonary nodules: accredited by NICE

M E J Callister;D R Baldwin;A R Akram;S Barnard.
Thorax (2015)

455 Citations

Risk‐based selection from the general population in a screening trial: Selection criteria, recruitment and power for the Dutch‐Belgian randomised lung cancer multi‐slice CT screening trial (NELSON)

Carola A. van Iersel;Harry J. de Koning;Gerrit Draisma;Willem P. T. M. Mali.
International Journal of Cancer (2007)

430 Citations

Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge.

Arnaud Arindra Adiyoso Setio;Alberto Traverso;Thomas de Bel;Moira S.N. Berens.
Medical Image Analysis (2017)

428 Citations

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