Behnoush Abdollahi
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Pulmonary and Respiratory Medicine
- Information Systems top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Olfa NasraouiGarth M. BeacheGeorgy Gimel’farbAyman El‐BazAhmed SolimanKazunori OkadaAhmed ElnakibKenji Suzuki
- Topics
- Topic Modeling (4 papers)Recommender Systems and Techniques (4 papers)Advanced Text Analysis Techniques (3 papers)
- Journals
- International Journal of Biomedical ImagingUKnowledge (University of Kentucky)
- Partner nations
- United StatesNew Zealand
In The Last Decade
Behnoush Abdollahi
9 papers receiving 304 citations
Peers
Comparison fields: 5 of 42
- Artificial Intelligence 165
- Radiology, Nuclear Medicine and Imaging 159
- Pulmonary and Respiratory Medicine 130
- Information Systems 102
- Computer Vision and Pattern Recognition 66
Countries citing papers authored by Behnoush Abdollahi
This map shows the geographic impact of Behnoush 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 Behnoush Abdollahi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Behnoush Abdollahi more than expected).
Fields of papers citing papers by Behnoush Abdollahi
This network shows the impact of papers produced by Behnoush 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 Behnoush Abdollahi. The network helps show where Behnoush Abdollahi may publish in the future.
Co-authorship network of co-authors of Behnoush Abdollahi
This figure shows the co-authorship network connecting the top 25 collaborators of Behnoush Abdollahi. A scholar is included among the top collaborators of Behnoush 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 Behnoush Abdollahi. Behnoush 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 | 2 | |
| 3 | 54 | |
| 4 | New Explainable Active Learning Approach for Recommender Systems | 1 |
| 5 | 50 | |
| 6 | 3 | |
| 7 | 9 | |
| 8 | Distributed LDA-based Topic Modeling and Topic Agglomeration in a Latent Space. | 3 |
| 9 | 189 |
About Behnoush Abdollahi
Behnoush Abdollahi is a scholar working on Artificial Intelligence, Information Systems and Signal Processing, having authored 9 papers that have together received 318 indexed citations. Recurring topics across this work include Topic Modeling (4 papers), Recommender Systems and Techniques (4 papers) and Advanced Text Analysis Techniques (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (159 citations), Artificial Intelligence (165 citations) and Information Systems (102 citations). Behnoush Abdollahi has collaborated with scholars based in United States and New Zealand. Frequent co-authors include Olfa Nasraoui, Garth M. Beache, Georgy Gimel’farb, Ayman El‐Baz, Ahmed Soliman, Kazunori Okada, Ahmed Elnakib, Kenji Suzuki, Min Xie and Yi Fang. Their work appears in journals such as International Journal of Biomedical Imaging and UKnowledge (University of Kentucky).
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.