Gregory Goldmacher
Impact in
- Epidemiology top 10%
- Acute Ischemic Stroke Management
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- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
Papers in
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- Radiomics and Machine Learning in Medical Imaging 8
- Medical Imaging Techniques and Applications 6
- MRI in cancer diagnosis 2
- Co-authors
- Seyedmehdi Payabvash (3 shared papers)Michael H. Lev (3 shared papers)Karen L. Furie (3 shared papers)James J. Conklin (2 shared papers)Shervin Kamalian (2 shared papers)Adnan Akbar (1 shared paper)Matthew B. Maas (1 shared paper)Ramón González (1 shared paper)
- Journals
- Journal of Clinical Oncology (3 papers)PLoS ONE (3 papers)Journal of Nuclear Medicine (2 papers)Stroke (2 papers)Neuro-Oncology (1 paper)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Gregory Goldmacher
23 papers receiving 494 citations
Peers
Comparison fields: 5 of 66
- Epidemiology 197
- Radiology, Nuclear Medicine and Imaging 119
- Neurology 77
- Internal Medicine 16
- Pulmonary and Respiratory Medicine 117
Countries citing papers authored by Gregory Goldmacher
This map shows the geographic impact of Gregory Goldmacher'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 Gregory Goldmacher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory Goldmacher more than expected).
Fields of papers citing papers by Gregory Goldmacher
This network shows the impact of papers produced by Gregory Goldmacher. 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 Gregory Goldmacher. The network helps show where Gregory Goldmacher may publish in the future.
Co-authors
The 25 scholars most cited alongside Gregory Goldmacher, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 119 | |
| 2 | 2022 | 62 | |
| 3 | 2013 | 59 | |
| 4 | 2020 | 49 | |
| 5 | 2013 | 40 | |
| 6 | 2012 | 38 | |
| 7 | 2012 | 36 | |
| 8 | 2022 | 25 | |
| 9 | 2020 | 16 | |
| 10 | 2021 | 12 | |
| 11 | 2022 | 8 | |
| 12 | 2020 | 7 | |
| 13 | 2019 | 4 | |
| 14 | 2017 | 3 | |
| 15 | 2024 | 3 | |
| 16 | 2020 | 3 | |
| 17 | 2024 | 3 | |
| 18 | 2013 | 3 | |
| 19 | 2020 | 2 | |
| 20 | 2024 | 2 |
About Gregory Goldmacher
Gregory Goldmacher is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Epidemiology, Genetics and Pathology and Forensic Medicine, having authored 24 papers that have together received 498 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (8 papers), Medical Imaging Techniques and Applications (6 papers), Lymphoma Diagnosis and Treatment (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Acute Ischemic Stroke Management (3 papers), AI in cancer detection (2 papers), Advanced X-ray and CT Imaging (2 papers) and MRI in cancer diagnosis (2 papers). The work is most often cited by research in Epidemiology (197 citations), Radiology, Nuclear Medicine and Imaging (119 citations), Neurology (77 citations), Internal Medicine (16 citations) and Pulmonary and Respiratory Medicine (117 citations). Gregory Goldmacher has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Seyedmehdi Payabvash, Michael H. Lev, Karen L. Furie, James J. Conklin, Shervin Kamalian, Adnan Akbar, Matthew B. Maas, Ramón González, Shahmir Kamalian and Pamela W. Schaefer. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE, Journal of Nuclear Medicine, Stroke and Neuro-Oncology.
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.