Maya Galperin-Aizenberg
- Radiology, Nuclear Medicine and Imaging top 5%
- Pulmonary and Respiratory Medicine top 10%
- Artificial Intelligence top 10%
- Biomedical Engineering
- Health Informatics top 2%
- Co-authors
- Tessa S. CookPo‐Hao ChenCharles B. SimoneHanna M. ZafarDaniel A. PrymaHongming LiJonathan GoldinPalmi Shah
- Topics
- Lung Cancer Diagnosis and Treatment (11 papers)Radiomics and Machine Learning in Medical Imaging (9 papers)Chronic Obstructive Pulmonary Disease (COPD) Research (6 papers)
- Cited by
- Health InformaticsRadiology, Nuclear Medicine and ImagingPulmonary and Respiratory Medicine
- Journals
- CHEST JournalInternational Journal of Radiation Oncology*Biology*PhysicsAmerican Journal of Roentgenology
- Partner nations
- United StatesIsraelNetherlands
In The Last Decade
Maya Galperin-Aizenberg
34 papers receiving 681 citations
Peers
Comparison fields: 5 of 85
- Radiology, Nuclear Medicine and Imaging 404
- Pulmonary and Respiratory Medicine 275
- Artificial Intelligence 185
- Biomedical Engineering 83
- Health Informatics 68
Countries citing papers authored by Maya Galperin-Aizenberg
This map shows the geographic impact of Maya Galperin-Aizenberg'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 Maya Galperin-Aizenberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya Galperin-Aizenberg more than expected).
Fields of papers citing papers by Maya Galperin-Aizenberg
This network shows the impact of papers produced by Maya Galperin-Aizenberg. 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 Maya Galperin-Aizenberg. The network helps show where Maya Galperin-Aizenberg may publish in the future.
Co-authorship network of co-authors of Maya Galperin-Aizenberg
This figure shows the co-authorship network connecting the top 25 collaborators of Maya Galperin-Aizenberg. A scholar is included among the top collaborators of Maya Galperin-Aizenberg 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 Maya Galperin-Aizenberg. Maya Galperin-Aizenberg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 1 | |
| 3 | 12 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 181 | |
| 7 | 5 | |
| 8 | 9 | |
| 9 | 78 | |
| 10 | 27 | |
| 11 | 15 | |
| 12 | 73 | |
| 13 | 17 | |
| 14 | 8 | |
| 15 | 39 | |
| 16 | 46 | |
| 17 | 1 | |
| 18 | 6 | |
| 19 | 8 | |
| 20 | 10 |
About Maya Galperin-Aizenberg
Maya Galperin-Aizenberg is a scholar working on Critical Care and Intensive Care Medicine, Health Informatics and Radiology, Nuclear Medicine and Imaging, having authored 34 papers that have together received 704 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (11 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (6 papers). The work is most often cited by research in Health Informatics (68 citations), Radiology, Nuclear Medicine and Imaging (404 citations) and Pulmonary and Respiratory Medicine (275 citations). Maya Galperin-Aizenberg has collaborated with scholars based in United States, Israel and Netherlands. Frequent co-authors include Tessa S. Cook, Po‐Hao Chen, Charles B. Simone, Hanna M. Zafar, Daniel A. Pryma, Hongming Li, Jonathan Goldin, Palmi Shah, Kavitha Yaddanapudi and Carol C. Wu. Their work appears in journals such as CHEST Journal, International Journal of Radiation Oncology*Biology*Physics and American Journal of Roentgenology.
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.