Behnaz Abdollahi
- Radiology, Nuclear Medicine and Imaging top 10%
- Artificial Intelligence top 10%
- Oncology
- Pulmonary and Respiratory Medicine
- Molecular Biology
- Co-authors
- Hermann B. FrieboesVictor H. van BerkelSaeed HassanpourAyman El‐BazMeredith S. BrownBing RenDiwakar R. PattabiramanKristen E. Muller
- Topics
- Colorectal Cancer Screening and Detection (4 papers)Radiomics and Machine Learning in Medical Imaging (3 papers)Advanced Steganography and Watermarking Techniques (2 papers)
- Partner nations
- United StatesIranIndia
In The Last Decade
Behnaz Abdollahi
12 papers receiving 467 citations
Peers
Comparison fields: 5 of 77
- Radiology, Nuclear Medicine and Imaging 207
- Artificial Intelligence 158
- Oncology 143
- Pulmonary and Respiratory Medicine 101
- Molecular Biology 96
Countries citing papers authored by Behnaz Abdollahi
This map shows the geographic impact of Behnaz Abdollahi'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 Behnaz Abdollahi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Behnaz Abdollahi more than expected).
Fields of papers citing papers by Behnaz Abdollahi
This network shows the impact of papers produced by Behnaz Abdollahi. 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 Behnaz Abdollahi. The network helps show where Behnaz Abdollahi may publish in the future.
Co-authorship network of co-authors of Behnaz Abdollahi
This figure shows the co-authorship network connecting the top 25 collaborators of Behnaz Abdollahi. A scholar is included among the top collaborators of Behnaz Abdollahi 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 Behnaz Abdollahi. Behnaz Abdollahi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 79 | |
| 3 | 1 | |
| 4 | 19 | |
| 5 | 2 | |
| 6 | 74 | |
| 7 | Finding a Needle in the Haystack: Attention-Based Classification of High Resolution Microscopy Images. | 4 |
| 8 | 216 | |
| 9 | 29 | |
| 10 | 25 | |
| 11 | 21 | |
| 12 | 5 |
About Behnaz Abdollahi
Behnaz Abdollahi is a scholar working on Oncology, Health Information Management and Computer Vision and Pattern Recognition, having authored 12 papers that have together received 482 indexed citations. Recurring topics across this work include Colorectal Cancer Screening and Detection (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Advanced Steganography and Watermarking Techniques (2 papers). The work is most often cited by research in Health Information Management (68 citations), Health Informatics (18 citations) and Radiology, Nuclear Medicine and Imaging (207 citations). Behnaz Abdollahi has collaborated with scholars based in United States, Iran and India. Frequent co-authors include Hermann B. Frieboes, Victor H. van Berkel, Saeed Hassanpour, Ayman El‐Baz, Meredith S. Brown, Bing Ren, Diwakar R. Pattabiraman, Kristen E. Muller, Owen M. Wilkins and Brock C. Christensen. Their work appears in journals such as Science Advances, New Journal of Physics and JAMA Network Open.
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.