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 98 Citations 63,642 259 World Ranking 4210 National Ranking 2378

Research.com Recognitions

Awards & Achievements

Member of the Association of American Physicians

Overview

What is he best known for?

The fields of study he is best known for:

  • Cancer
  • Internal medicine
  • Radiology

His scientific interests lie mostly in Radiology, Internal medicine, Clinical trial, Oncology and Surgery. The study incorporates disciplines such as Image processing and Nuclear medicine in addition to Radiology. His studies in Clinical trial integrate themes in fields like Positron emission tomography, Medical physics and Lymphoma.

His biological study spans a wide range of topics, including Solid tumor and Pathology. His Oncology research integrates issues from Carcinoma, Neoplasm staging and Proportional hazards model. His study in the fields of Clinical endpoint, Survival rate and Asymptomatic under the domain of Surgery overlaps with other disciplines such as Key issues.

His most cited work include:

  • New response evaluation criteria in solid tumours: Revised RECIST guideline (version 1.1) (14014 citations)
  • The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS) (1985 citations)
  • Recommendations for Initial Evaluation, Staging, and Response Assessment of Hodgkin and Non-Hodgkin Lymphoma: The Lugano Classification (1770 citations)

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

His primary areas of study are Radiology, Internal medicine, Oncology, Clinical trial and Nuclear medicine. His research in Radiology intersects with topics in Colorectal cancer and Metastasis. His study in Internal medicine is interdisciplinary in nature, drawing from both Gastroenterology and Surgery.

His Oncology study combines topics from a wide range of disciplines, such as Clinical endpoint, Carcinoma, Hazard ratio, Nivolumab and Prostate cancer. His biological study spans a wide range of topics, including Positron emission tomography and Medical physics. His Nuclear medicine research is multidisciplinary, incorporating perspectives in Segmentation and Lung cancer.

He most often published in these fields:

  • Radiology (33.24%)
  • Internal medicine (32.15%)
  • Oncology (26.70%)

What were the highlights of his more recent work (between 2018-2021)?

  • Internal medicine (32.15%)
  • Oncology (26.70%)
  • Lung cancer (10.90%)

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

Lawrence H. Schwartz mostly deals with Internal medicine, Oncology, Lung cancer, In patient and Lung. His work investigates the relationship between Internal medicine and topics such as Gastroenterology that intersect with problems in Spleen, Carbohydrate metabolism and Fdg pet ct. He interconnects Clinical endpoint, Clinical trial, Sorafenib, Immune checkpoint inhibitors and Docetaxel in the investigation of issues within Oncology.

His Lung cancer study integrates concerns from other disciplines, such as Receiver operating characteristic, Carcinoma, Radiomics, Artificial intelligence and Pattern recognition. His Carcinoma research is under the purview of Pathology. The study incorporates disciplines such as Medical physics, Disease, Generalizability theory and Treatment response in addition to Cancer.

Between 2018 and 2021, his most popular works were:

  • Artificial intelligence in cancer imaging: Clinical challenges and applications. (243 citations)
  • Artificial intelligence in cancer imaging: Clinical challenges and applications. (243 citations)
  • Quantitative imaging biomarkers alliance (QIBA) recommendations for improved precision of DWI and DCE‐MRI derived biomarkers in multicenter oncology trials (65 citations)

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

  • Cancer
  • Internal medicine
  • Surgery

Lawrence H. Schwartz mainly investigates Internal medicine, Oncology, Cancer, Artificial intelligence and Retrospective cohort study. His Internal medicine research incorporates elements of Gastroenterology and Melanoma. His Oncology research includes elements of Clinical trial, Chemotherapy, Hazard ratio, Confidence interval and Proportional hazards model.

His Clinical trial study incorporates themes from Magnetic resonance imaging and Image acquisition. His studies deal with areas such as Applications of artificial intelligence, Generalizability theory and Medical imaging as well as Cancer. The various areas that Lawrence H. Schwartz examines in his Artificial intelligence study include Disease and Pattern recognition.

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

New response evaluation criteria in solid tumours: Revised RECIST guideline (version 1.1)

Elizabeth Eisenhauer;Patrick Therasse;Jan Bogaerts;L.H. Schwartz.
European Journal of Cancer (2009)

18882 Citations

Recommendations for Initial Evaluation, Staging, and Response Assessment of Hodgkin and Non-Hodgkin Lymphoma: The Lugano Classification

Bruce D. Cheson;Richard I. Fisher;Sally F. Barrington;Franco Cavalli.
Journal of Clinical Oncology (2014)

2518 Citations

The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

Bjoern H. Menze;Andras Jakab;Stefan Bauer;Jayashree Kalpathy-Cramer.
IEEE Transactions on Medical Imaging (2015)

1848 Citations

Use of Positron Emission Tomography for Response Assessment of Lymphoma: Consensus of the Imaging Subcommittee of International Harmonization Project in Lymphoma

Malik E. Juweid;Sigrid Stroobants;Otto S. Hoekstra;Felix M. Mottaghy.
Journal of Clinical Oncology (2007)

1507 Citations

The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): a completed reference database of lung nodules on CT scans.

Samuel G. Armato;Geoffrey McLennan;Luc Bidaut;Michael F. McNitt‐Gray.
Medical Physics (2011)

1286 Citations

Role of Imaging in the Staging and Response Assessment of Lymphoma: Consensus of the International Conference on Malignant Lymphomas Imaging Working Group

Sally F. Barrington;N. George Mikhaeel;Lale Kostakoglu;Michel Meignan.
Journal of Clinical Oncology (2014)

1077 Citations

Prognostic Factors for Survival in Previously Treated Patients With Metastatic Renal Cell Carcinoma

Robert J. Motzer;Jennifer Bacik;Lawrence H. Schwartz;Victor Reuter.
Journal of Clinical Oncology (2004)

901 Citations

Deep inspiration breath-hold technique for lung tumors: the potential value of target immobilization and reduced lung density in dose escalation ☆

Joseph Hanley;Marc M. Debois;Dennis Mah;Gikas S. Mageras.
International Journal of Radiation Oncology Biology Physics (1996)

832 Citations

Artificial intelligence in radiology

Ahmed Hosny;Chintan Parmar;John Quackenbush;Lawrence H. Schwartz;Lawrence H. Schwartz.
Nature Reviews Cancer (2018)

747 Citations

Trial Design and Objectives for Castration-Resistant Prostate Cancer: Updated Recommendations From the Prostate Cancer Clinical Trials Working Group 3

Howard I. Scher;Michael J. Morris;Walter M. Stadler;Celestia Higano.
Journal of Clinical Oncology (2016)

660 Citations

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