Hossein Farahani
- Molecular Biology
- Artificial Intelligence top 10%
- Reproductive Medicine top 5%
- Cancer Research
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Jens LagergrenAli BashashatiMikaela BehmMarie ÖhmanC. Blake GilksDavid G. HuntsmanSohrab P. ShahStephen Yip
- Topics
- AI in cancer detection (11 papers)Radiomics and Machine Learning in Medical Imaging (6 papers)Composite Structure Analysis and Optimization (4 papers)
- Partner nations
- CanadaIranUnited States
In The Last Decade
Hossein Farahani
29 papers receiving 581 citations
Peers
Comparison fields: 5 of 80
- Molecular Biology 237
- Artificial Intelligence 170
- Reproductive Medicine 135
- Cancer Research 135
- Radiology, Nuclear Medicine and Imaging 103
Countries citing papers authored by Hossein Farahani
This map shows the geographic impact of Hossein Farahani'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 Hossein Farahani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hossein Farahani more than expected).
Fields of papers citing papers by Hossein Farahani
This network shows the impact of papers produced by Hossein Farahani. 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 Hossein Farahani. The network helps show where Hossein Farahani may publish in the future.
Co-authorship network of co-authors of Hossein Farahani
This figure shows the co-authorship network connecting the top 25 collaborators of Hossein Farahani. A scholar is included among the top collaborators of Hossein Farahani 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 Hossein Farahani. Hossein Farahani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 13 | |
| 5 | 4 | |
| 6 | 12 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 7 | |
| 10 | 42 | |
| 11 | 15 | |
| 12 | 5 | |
| 13 | 69 | |
| 14 | 3 | |
| 15 | 116 | |
| 16 | 6 | |
| 17 | Learning Bounded Tree-width Bayesian Networks using Integer Linear Programming | 20 |
| 18 | Learning oncogenetic networks by reducing to MILP | 3 |
| 19 | 27 | |
| 20 | 91 |
About Hossein Farahani
Hossein Farahani is a scholar working on Biophysics, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 31 papers that have together received 596 indexed citations. Recurring topics across this work include AI in cancer detection (11 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Composite Structure Analysis and Optimization (4 papers). The work is most often cited by research in Reproductive Medicine (135 citations), Obstetrics and Gynecology (87 citations) and Cancer Research (135 citations). Hossein Farahani has collaborated with scholars based in Canada, Iran and United States. Frequent co-authors include Jens Lagergren, Ali Bashashati, Mikaela Behm, Marie Öhman, C. Blake Gilks, David G. Huntsman, Sohrab P. Shah, Stephen Yip, Steven J.M. Jones and David Farnell. Their work appears in journals such as Nature Communications, PLoS ONE and Scientific Reports.
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.