Michael Iv
Impact in
Papers in
- Genetics 26
- Glioma Diagnosis and Treatment 26
-
- Advanced MRI Techniques and Applications 11
- Radiomics and Machine Learning in Medical Imaging 9
- MRI in cancer diagnosis 8
- Co-authors
- Max Wintermark (13 shared papers)Kristen W. Yeom (16 shared papers)Jeremy J. Heit (7 shared papers)Greg Zaharchuk (8 shared papers)Elizabeth Tong (7 shared papers)Samantha J. Holdsworth (10 shared papers)Endre Grøvik (4 shared papers)Darvin Yi (4 shared papers)
- Journals
- Journal of Clinical Oncology (7 papers)American Journal of Neuroradiology (6 papers)American Journal of Roentgenology (4 papers)Neuro-Oncology Advances (2 papers)npj Digital Medicine (2 papers)
- Partner nations
- United StatesUnited KingdomNorway
In The Last Decade
Michael Iv
82 papers receiving 1.9k citations
Michael Iv's Hit Papers
Peers
Comparison fields: 5 of 120
- Genetics 355
- Neurology 225
- Radiology, Nuclear Medicine and Imaging 601
- Health Informatics 37
- Neurology 314
Countries citing papers authored by Michael Iv
This map shows the geographic impact of Michael Iv'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 Michael Iv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Iv more than expected).
Fields of papers citing papers by Michael Iv
This network shows the impact of papers produced by Michael Iv. 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 Michael Iv. The network helps show where Michael Iv may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Iv, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Radiomics in Brain Tumor: Image Assessment, Quantitative Feature Descriptors, and Machine-Learning Approaches Hit paper breakdown → | 2017 | 298 |
| 2 | 2019 | 184 | |
| 3 | 2016 | 153 | |
| 4 | 2015 | 108 | |
| 5 | 2018 | 87 | |
| 6 | 2019 | 76 | |
| 7 | 2013 | 72 | |
| 8 | 2015 | 66 | |
| 9 | 2018 | 62 | |
| 10 | 2014 | 61 | |
| 11 | 2019 | 55 | |
| 12 | 2020 | 51 | |
| 13 | 2014 | 37 | |
| 14 | 2021 | 37 | |
| 15 | 2019 | 35 | |
| 16 | 2021 | 34 | |
| 17 | 2013 | 30 | |
| 18 | 2018 | 26 | |
| 19 | 2019 | 25 | |
| 20 | 2019 | 25 |
About Michael Iv
Michael Iv is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging, Neurology, Pulmonary and Respiratory Medicine and Epidemiology, having authored 87 papers that have together received 2.0k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (26 papers), Advanced MRI Techniques and Applications (11 papers), Brain Metastases and Treatment (10 papers), Radiomics and Machine Learning in Medical Imaging (9 papers), Vascular Malformations Diagnosis and Treatment (9 papers), MRI in cancer diagnosis (8 papers), Cerebrospinal fluid and hydrocephalus (5 papers) and Meningioma and schwannoma management (5 papers). The work is most often cited by research in Genetics (355 citations), Neurology (225 citations), Radiology, Nuclear Medicine and Imaging (601 citations), Health Informatics (37 citations) and Neurology (314 citations). Michael Iv has collaborated with scholars based in United States, United Kingdom and Norway. Frequent co-authors include Max Wintermark, Kristen W. Yeom, Jeremy J. Heit, Greg Zaharchuk, Elizabeth Tong, Samantha J. Holdsworth, Endre Grøvik, Darvin Yi, Daniel J. Rubin and Olivier Gevaert. Their work appears in journals such as Journal of Clinical Oncology, American Journal of Neuroradiology, American Journal of Roentgenology, Neuro-Oncology Advances and npj Digital Medicine.
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.