Michal Guindy
- Radiology, Nuclear Medicine and Imaging top 10%
- Artificial Intelligence top 10%
- Oncology
- Pulmonary and Respiratory Medicine
- Health Informatics top 2%
- Co-authors
- Michal Rosen‐ZviAviva Fattal‐ValevskiElla BarkanVarda ShalevYoram GreensteinRinat Bernstein‐MolhoNathanel ZelnikAdam Spiro
- Topics
- Global Cancer Incidence and Screening (6 papers)Radiomics and Machine Learning in Medical Imaging (5 papers)AI in cancer detection (4 papers)
- Journals
- RadiologyAnnals of OncologyVaccine
- Partner nations
- IsraelUnited KingdomUnited States
In The Last Decade
Michal Guindy
24 papers receiving 434 citations
Peers
Comparison fields: 5 of 86
- Radiology, Nuclear Medicine and Imaging 165
- Artificial Intelligence 133
- Oncology 101
- Pulmonary and Respiratory Medicine 66
- Health Informatics 64
Countries citing papers authored by Michal Guindy
This map shows the geographic impact of Michal Guindy'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 Michal Guindy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michal Guindy more than expected).
Fields of papers citing papers by Michal Guindy
This network shows the impact of papers produced by Michal Guindy. 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 Michal Guindy. The network helps show where Michal Guindy may publish in the future.
Co-authorship network of co-authors of Michal Guindy
This figure shows the co-authorship network connecting the top 25 collaborators of Michal Guindy. A scholar is included among the top collaborators of Michal Guindy 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 Michal Guindy. Michal Guindy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 10 | |
| 6 | Predictive and Causal Analysis of No-Shows for Medical Exams During COVID-19: A Case Study of Breast Imaging in a Nationwide Israeli Health Organization | 1 |
| 7 | 2 | |
| 8 | 47 | |
| 9 | 38 | |
| 10 | 34 | |
| 11 | 2 | |
| 12 | 11 | |
| 13 | 8 | |
| 14 | 126 | |
| 15 | 4 | |
| 16 | 13 | |
| 17 | 30 | |
| 18 | 7 | |
| 19 | 55 | |
| 20 | 5 |
About Michal Guindy
Michal Guindy is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 25 papers that have together received 444 indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and AI in cancer detection (4 papers). The work is most often cited by research in Health Informatics (64 citations), Radiology, Nuclear Medicine and Imaging (165 citations) and Artificial Intelligence (133 citations). Michal Guindy has collaborated with scholars based in Israel, United Kingdom and United States. Frequent co-authors include Michal Rosen‐Zvi, Aviva Fattal‐Valevski, Ella Barkan, Varda Shalev, Yoram Greenstein, Rinat Bernstein‐Molho, Nathanel Zelnik, Adam Spiro, Tanir M. Allweis and Michal Chorev. Their work appears in journals such as Radiology, Annals of Oncology and Vaccine.
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.