Matthew B. Schabath
- Health Informatics top 0.2%
-
- Radiomics and Machine Learning in Medical Imaging 66
- Medical Imaging Techniques and Applications 18
- Pulmonary and Respiratory Medicine top 0.5%
- Lung Cancer Diagnosis and Treatment 61
- Lung Cancer Treatments and Mutations 30
- Oncology top 1%
- Global Cancer Incidence and Screening 10
- Cancer Research top 1%
-
- LGBTQ Health, Identity, and Policy 38
-
- AI in cancer detection 16
-
- Advanced X-ray and CT Imaging 11
- Co-authors
- Robert J. GilliesMichele L. CotéYoganand BalagurunathanLawrence HallHugo J.W.L. AertsGwendolyn P. QuinnDmitry B. GoldgofMargaret R. Spitz
- Cited by
- Health InformaticsRadiology, Nuclear Medicine and ImagingPulmonary and Respiratory Medicine
- Journals
- Proceedings of the National Academy of Sciences (1 paper)JAMA (2 papers)Journal of Clinical Investigation (1 paper)
- 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
- Health Informatics 360
- Radiology, Nuclear Medicine and Imaging 5.1k
- Pulmonary and Respiratory Medicine 3.7k
- Oncology 2.5k
- Cancer Research 1.2k
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
The 25 scholars most cited alongside Matthew B. Schabath, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 2 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 5 | |
| 10 | 2023 | 9 | |
| 11 | 2023 | 7 | |
| 12 | 2023 | 3 | |
| 13 | 2022 | 8 | |
| 14 | 2022 | 9 | |
| 15 | 2021 | 31 | |
| 16 | 2021 | 148 | |
| 17 | 2019 | 1 | |
| 18 | 2019 | 34 | |
| 19 | 2019 | 27 | |
| 20 | 2013 | 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), LGBTQ Health, Identity, and Policy (38 papers), Lung Cancer Treatments and Mutations (30 papers), Medical Imaging Techniques and Applications (18 papers), AI in cancer detection (16 papers), Advanced X-ray and CT Imaging (11 papers) and Global Cancer Incidence and Screening (10 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.