Saeed Hassanpour
- Artificial Intelligence top 1%
- Radiology, Nuclear Medicine and Imaging top 2%
- Oncology top 5%
- Health Informatics top 0.2%
- Biomedical Engineering top 10%
- Co-authors
- Naofumi TomitaCurtis P. LanglotzManu GoyalYvonne Y. CheungArief A. SuriawinataShaofeng YanThomas KnackstedtMatthew A. Suriawinata
- Topics
- AI in cancer detection (20 papers)Radiomics and Machine Learning in Medical Imaging (16 papers)Colorectal Cancer Screening and Detection (14 papers)
- Journals
- CirculationSHILAP Revista de lepidopterologíaOncogene
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Saeed Hassanpour
72 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Artificial Intelligence 926
- Radiology, Nuclear Medicine and Imaging 751
- Oncology 576
- Health Informatics 305
- Biomedical Engineering 296
Countries citing papers authored by Saeed Hassanpour
This map shows the geographic impact of Saeed Hassanpour'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 Saeed Hassanpour with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saeed Hassanpour more than expected).
Fields of papers citing papers by Saeed Hassanpour
This network shows the impact of papers produced by Saeed Hassanpour. 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 Saeed Hassanpour. The network helps show where Saeed Hassanpour may publish in the future.
Co-authorship network of co-authors of Saeed Hassanpour
This figure shows the co-authorship network connecting the top 25 collaborators of Saeed Hassanpour. A scholar is included among the top collaborators of Saeed Hassanpour 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 Saeed Hassanpour. Saeed Hassanpour 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 | 0 | |
| 3 | 0 | |
| 4 | 7 | |
| 5 | 11 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 4 | |
| 9 | 79 | |
| 10 | 1 | |
| 11 | 10 | |
| 12 | 7 | |
| 13 | 8 | |
| 14 | 8 | |
| 15 | 6 | |
| 16 | 15 | |
| 17 | 2 | |
| 18 | 57 | |
| 19 | Finding a Needle in the Haystack: Attention-Based Classification of High Resolution Microscopy Images. | 4 |
| 20 | A Rule Management and Elicitation Tool for SWRL Rule Bases. | 1 |
About Saeed Hassanpour
Saeed Hassanpour is a scholar working on Health Informatics, Issues, ethics and legal aspects and Artificial Intelligence, having authored 80 papers that have together received 2.1k indexed citations. Recurring topics across this work include AI in cancer detection (20 papers), Radiomics and Machine Learning in Medical Imaging (16 papers) and Colorectal Cancer Screening and Detection (14 papers). The work is most often cited by research in Health Informatics (305 citations), Radiology, Nuclear Medicine and Imaging (751 citations) and Artificial Intelligence (926 citations). Saeed Hassanpour has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Naofumi Tomita, Curtis P. Langlotz, Manu Goyal, Yvonne Y. Cheung, Arief A. Suriawinata, Shaofeng Yan, Thomas Knackstedt, Matthew A. Suriawinata, Lorenzo Torresani and Lisa A. Marsch. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and Oncogene.
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.