Matthew B. Schabath
- Radiology, Nuclear Medicine and Imaging top 0.1%
- Pulmonary and Respiratory Medicine top 0.5%
- Oncology top 1%
- Molecular Biology top 5%
- Biomedical Engineering top 2%
- Co-authors
- Robert J. GilliesMichele L. CotéYoganand BalagurunathanLawrence HallHugo J.W.L. AertsGwendolyn P. QuinnDmitry B. GoldgofMargaret R. Spitz
- Topics
- Radiomics and Machine Learning in Medical Imaging (66 papers)Lung Cancer Diagnosis and Treatment (61 papers)LGBTQ Health, Identity, and Policy (38 papers)
- Cited by
- Health InformaticsRadiology, Nuclear Medicine and ImagingPulmonary and Respiratory Medicine
- Partner nations
- United StatesChinaTürkiye
In The Last Decade
Matthew B. Schabath
200 papers receiving 10.8k citations
Hit Papers
Peers
Comparison fields: 5 of 185
- Radiology, Nuclear Medicine and Imaging 5.1k
- Pulmonary and Respiratory Medicine 3.7k
- Oncology 2.5k
- Molecular Biology 1.8k
- Biomedical Engineering 1.4k
Countries citing papers authored by Matthew B. Schabath
This map shows the geographic impact of Matthew B. Schabath'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 Matthew B. Schabath with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew B. Schabath more than expected).
Fields of papers citing papers by Matthew B. Schabath
This network shows the impact of papers produced by Matthew B. Schabath. 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 Matthew B. Schabath. The network helps show where Matthew B. Schabath may publish in the future.
Co-authorship network of co-authors of Matthew B. Schabath
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew B. Schabath. A scholar is included among the top collaborators of Matthew B. Schabath based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthew B. Schabath. Matthew B. Schabath is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 9 | |
| 11 | 7 | |
| 12 | 3 | |
| 13 | 8 | |
| 14 | 9 | |
| 15 | 31 | |
| 16 | 148 | |
| 17 | 1 | |
| 18 | 34 | |
| 19 | 27 | |
| 20 | 15 |
About Matthew B. Schabath
Matthew B. Schabath is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Social Psychology, having authored 213 papers that have together received 11.0k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (66 papers), Lung Cancer Diagnosis and Treatment (61 papers) and LGBTQ Health, Identity, and Policy (38 papers). The work is most often cited by research in Health Informatics (360 citations), Radiology, Nuclear Medicine and Imaging (5.1k citations) and Pulmonary and Respiratory Medicine (3.7k citations). Matthew B. Schabath has collaborated with scholars based in United States, China and Türkiye. Frequent co-authors include Robert J. Gillies, Michele L. Coté, Yoganand Balagurunathan, Lawrence Hall, Hugo J.W.L. Aerts, Gwendolyn P. Quinn, Dmitry B. Goldgof, Margaret R. Spitz, Steven A. Eschrich and Xifeng Wu. Their work appears in journals such as Proceedings of the National Academy of Sciences, JAMA and Journal of Clinical Investigation.
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.