Matthew J. Nyflot
- Radiation top 1%
- Advanced Radiotherapy Techniques 23
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- Radiomics and Machine Learning in Medical Imaging 24
- Medical Imaging Techniques and Applications 10
- Radiation Dose and Imaging 10
- Health Informatics top 5%
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- Sarcoma Diagnosis and Treatment 11
- Radiation Therapy and Dosimetry 8
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis 13
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- Patient Safety and Medication Errors 11
- Co-authors
- Stephen R. BowenEric C. FordLandon S. WoottonW. Art ChaovalitwongsePaul E. KinahanGeorge A. SandisonMatthew B. SprakerJing Zeng
- Journals
- International Journal of Radiation Oncology*Biology*Physics (18 papers)Practical Radiation Oncology (9 papers)Medical Physics (7 papers)
- Partner nations
- United StatesGermanyNetherlands
In The Last Decade
Matthew J. Nyflot
68 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 102
- Radiation 452
- Radiology, Nuclear Medicine and Imaging 926
- Health Informatics 34
- Pulmonary and Respiratory Medicine 519
- Hepatology 116
Countries citing papers authored by Matthew J. Nyflot
This map shows the geographic impact of Matthew J. Nyflot'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 J. Nyflot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew J. Nyflot more than expected).
Fields of papers citing papers by Matthew J. Nyflot
This network shows the impact of papers produced by Matthew J. Nyflot. 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 J. Nyflot. The network helps show where Matthew J. Nyflot may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthew J. Nyflot, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 0 | |
| 6 | 2021 | 30 | |
| 7 | 2021 | 46 | |
| 8 | 2019 | 11 | |
| 9 | 2019 | 88 | |
| 10 | 2018 | 9 | |
| 11 | 2017 | 2 | |
| 12 | 2017 | 0 | |
| 13 | 2017 | 5 | |
| 14 | 2017 | 4 | |
| 15 | 2016 | 10 | |
| 16 | 2015 | 40 | |
| 17 | 2015 | 7 | |
| 18 | 2015 | 33 | |
| 19 | 2014 | 18 | |
| 20 | 2014 | 19 |
About Matthew J. Nyflot
Matthew J. Nyflot is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Hepatology, having authored 75 papers that have together received 1.4k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (24 papers), Advanced Radiotherapy Techniques (23 papers), Hepatocellular Carcinoma Treatment and Prognosis (13 papers), Patient Safety and Medication Errors (11 papers), Sarcoma Diagnosis and Treatment (11 papers), Medical Imaging Techniques and Applications (10 papers), Radiation Dose and Imaging (10 papers) and Radiation Therapy and Dosimetry (8 papers). The work is most often cited by research in Radiation (452 citations), Radiology, Nuclear Medicine and Imaging (926 citations) and Health Informatics (34 citations). Matthew J. Nyflot has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Stephen R. Bowen, Eric C. Ford, Landon S. Wootton, W. Art Chaovalitwongse, Paul E. Kinahan, George A. Sandison, Matthew B. Spraker, Jing Zeng, Eric Ford and Jan C. Peeken. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Practical Radiation Oncology, Medical Physics, Radiotherapy and Oncology and Journal of Applied Clinical Medical Physics.
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.