Lawrence H. Schwartz

89.1k citations
403 papers · 54.7k · 15 hit papers · h-index 82

Impact in

Papers in

Lawrence H. Schwartz

384 papers receiving 53.5k citations

Lawrence H. Schwartz's Hit Papers

Artificial intelligence in cancer imaging: Clinical challenges and applications 2019 · 1.3k citations
1.3k0+9+18Years since publication5.0k10.0k15.0k20.0k

Peers

Lawrence H. Schwartz
Comparison fields: 5 of 205
  • Health Informatics 1.2k
  • Hepatology 5.0k
  • Oncology 14.0k
  • Radiology, Nuclear Medicine and Imaging 11.7k
  • Pulmonary and Respiratory Medicine 14.3k
Replace Philippe Lambin with:
Philippe Lambin Netherlands
Mithat Gönen United States
David L. Rimm United States
Peter L. Choyke United States
David S. Klimstra United States
Hugo J.W.L. Aerts United States
Richard L. Wahl United States
Michael W. Kattan United States
Richard Kaplan United Kingdom
Charles Swanton United Kingdom
Lawrence H. Schwartz relative to Philippe Lambin Netherlands Philippe Lambin's profile →
Citations per field
00.5×4.5×
Philippe Lambin · 1×
Citations per year

Countries citing papers authored by Lawrence H. Schwartz

Since Specialization
Citations

This map shows the geographic impact of Lawrence H. Schwartz's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lawrence H. Schwartz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lawrence H. Schwartz more than expected).

Fields of papers citing papers by Lawrence H. Schwartz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lawrence H. Schwartz. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lawrence H. Schwartz. The network helps show where Lawrence H. Schwartz may publish in the future.

Co-authors

The 25 scholars most cited alongside Lawrence H. Schwartz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lawrence H. Schwartz Line = papers co-authored together Lawrence H. Schwartz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 403 papers — load more, or switch the sort, to bring in the rest.

#Work
1
New response evaluation criteria in solid tumours: Revised RECIST guideline (version 1.1)
Hit paper breakdown →
200821469
2
Recommendations for Initial Evaluation, Staging, and Response Assessment of Hodgkin and Non-Hodgkin Lymphoma: The Lugano Classification
Hit paper breakdown →
20143375
3
Artificial intelligence in radiology
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20182552
4
iRECIST: guidelines for response criteria for use in trials testing immunotherapeutics
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20171605
5
Artificial intelligence in cancer imaging: Clinical challenges and applications
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20191310
6
RECIST 1.1—Update and clarification: From the RECIST committee
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20161272
7
Role of Imaging in the Staging and Response Assessment of Lymphoma: Consensus of the International Conference on Malignant Lymphomas Imaging Working Group
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20141052
8
Use of Positron Emission Tomography for Response Assessment of Lymphoma: Consensus of the Imaging Subcommittee of International Harmonization Project in Lymphoma
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20071022
9
Phase II Study of Sorafenib in Patients With Advanced Hepatocellular Carcinoma
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2006986
10
Intrahepatic Cholangiocarcinoma
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2008678
11
Prognostic Factors for Survival in Previously Treated Patients With Metastatic Renal Cell Carcinoma
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2004635
12
Deep inspiration breath-hold technique for lung tumors: the potential value of target immobilization and reduced lung density in dose escalation
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1999511
13
Phase II Study of Sorafenib in Patients With Metastatic or Recurrent Sarcomas
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2009451
14
Reproducibility of radiomics for deciphering tumor phenotype with imaging
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2016426
15 2003394
16 2011347
17 2010332
18 2016287
19
Quantitative imaging biomarkers alliance (QIBA) recommendations for improved precision of DWI and DCE‐MRI derived biomarkers in multicenter oncology trials
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2018277
20 2009271

About Lawrence H. Schwartz

Lawrence H. Schwartz is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Oncology, Surgery and Hepatology, having authored 403 papers that have together received 54.7k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (85 papers), Hepatocellular Carcinoma Treatment and Prognosis (45 papers), Medical Imaging Techniques and Applications (33 papers), MRI in cancer diagnosis (30 papers), Lung Cancer Diagnosis and Treatment (30 papers), Lung Cancer Treatments and Mutations (29 papers), Cancer Immunotherapy and Biomarkers (19 papers) and Lymphoma Diagnosis and Treatment (18 papers). The work is most often cited by research in Health Informatics (1.2k citations), Hepatology (5.0k citations), Oncology (14.0k citations), Radiology, Nuclear Medicine and Imaging (11.7k citations) and Pulmonary and Respiratory Medicine (14.3k citations). Lawrence H. Schwartz has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Janet Dancey, Lalitha Shankar, Jan Bogaerts, Stephen J. Gwyther, Larry Rubinstein, Daniel J. Sargent, Lori E. Dodd, P. Therasse, Denis Lacombe and Margaret Mooney. Their work appears in journals such as Journal of Clinical Oncology, Radiology, American Journal of Roentgenology, Medical Physics and European Journal of Cancer.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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