Aly Valliani
Impact in
- Health Informatics top 5%
- Neurology top 10%
- Brain Tumor Detection and Classification
Papers in
- Surgery 5
- Hip and Femur Fractures 2
-
- Machine Learning in Healthcare 2
- AI in cancer detection 2
- Co-authors
- Eric K. Oermann (7 shared papers)Daniel Ranti (2 shared papers)Samuel K. Cho (11 shared papers)Jun Kim (11 shared papers)Helen Piwnica‐Worms (2 shared papers)Julien Sage (1 shared paper)Pan Tong (1 shared paper)You Hong Fan (1 shared paper)
- Journals
- World Neurosurgery (3 papers)Cancer Research (2 papers)Global Spine Journal (2 papers)Scientific Reports (1 paper)The Spine Journal (1 paper)
- Partner nations
- United StatesTaiwan
In The Last Decade
Aly Valliani
23 papers receiving 498 citations
Peers
Comparison fields: 5 of 81
- Health Informatics 29
- Neurology 61
- Oncology 122
- Pathology and Forensic Medicine 49
- Health Information Management 12
Countries citing papers authored by Aly Valliani
This map shows the geographic impact of Aly Valliani'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 Aly Valliani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aly Valliani more than expected).
Fields of papers citing papers by Aly Valliani
This network shows the impact of papers produced by Aly Valliani. 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 Aly Valliani. The network helps show where Aly Valliani may publish in the future.
Co-authors
The 25 scholars most cited alongside Aly Valliani, 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 | 2017 | 148 | |
| 2 | 2019 | 110 | |
| 3 | 2019 | 60 | |
| 4 | 2017 | 50 | |
| 5 | 2022 | 19 | |
| 6 | 2022 | 14 | |
| 7 | 2022 | 14 | |
| 8 | 2021 | 13 | |
| 9 | 2022 | 11 | |
| 10 | 2022 | 10 | |
| 11 | 2022 | 8 | |
| 12 | 2021 | 7 | |
| 13 | 2023 | 6 | |
| 14 | 2022 | 6 | |
| 15 | 2021 | 6 | |
| 16 | 2022 | 6 | |
| 17 | 2022 | 5 | |
| 18 | 2023 | 3 | |
| 19 | 2024 | 2 | |
| 20 | 2020 | 2 |
About Aly Valliani
Aly Valliani is a scholar working on Surgery, Artificial Intelligence, Pulmonary and Respiratory Medicine, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 24 papers that have together received 503 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (2 papers), COVID-19 diagnosis using AI (2 papers), Lung Cancer Research Studies (2 papers), Retinal and Optic Conditions (2 papers), Cancer therapeutics and mechanisms (2 papers), Hospital Admissions and Outcomes (2 papers), AI in cancer detection (2 papers) and Hip and Femur Fractures (2 papers). The work is most often cited by research in Health Informatics (29 citations), Neurology (61 citations), Oncology (122 citations), Pathology and Forensic Medicine (49 citations) and Health Information Management (12 citations). Aly Valliani has collaborated with scholars based in United States and Taiwan. Frequent co-authors include Eric K. Oermann, Daniel Ranti, Samuel K. Cho, Jun Kim, Helen Piwnica‐Worms, Julien Sage, Pan Tong, You Hong Fan, Lerong Li and Jing Wang. Their work appears in journals such as World Neurosurgery, Cancer Research, Global Spine Journal, Scientific Reports and The Spine Journal.
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.