Tahereh Hassanzadeh
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Radiology, Nuclear Medicine and Imaging
- Computational Theory and Mathematics top 10%
- Co-authors
- Ruhul SarkerDaryl EssamMohammad Reza MeybodiAmir Masoud Eftekhari MoghadamHamidreza Rashidy KananKarim FaezLen HameyKevin Ho‐Shon
- Topics
- Advanced Neural Network Applications (8 papers)Medical Image Segmentation Techniques (7 papers)Metaheuristic Optimization Algorithms Research (6 papers)
- Partner nations
- AustraliaIranNetherlands
In The Last Decade
Tahereh Hassanzadeh
24 papers receiving 390 citations
Peers
Comparison fields: 5 of 87
- Artificial Intelligence 246
- Computer Vision and Pattern Recognition 153
- Biomedical Engineering 49
- Radiology, Nuclear Medicine and Imaging 40
- Computational Theory and Mathematics 36
Countries citing papers authored by Tahereh Hassanzadeh
This map shows the geographic impact of Tahereh Hassanzadeh'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 Tahereh Hassanzadeh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tahereh Hassanzadeh more than expected).
Fields of papers citing papers by Tahereh Hassanzadeh
This network shows the impact of papers produced by Tahereh Hassanzadeh. 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 Tahereh Hassanzadeh. The network helps show where Tahereh Hassanzadeh may publish in the future.
Co-authorship network of co-authors of Tahereh Hassanzadeh
This figure shows the co-authorship network connecting the top 25 collaborators of Tahereh Hassanzadeh. A scholar is included among the top collaborators of Tahereh Hassanzadeh 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 Tahereh Hassanzadeh. Tahereh Hassanzadeh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 0 | |
| 3 | 11 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 6 | |
| 8 | 0 | |
| 9 | 15 | |
| 10 | 1 | |
| 11 | 4 | |
| 12 | Effect of interactionist dynamic assessment on English vocabulary learning: Cultural perspectives in focus | 9 |
| 13 | 34 | |
| 14 | A mixed-methods approach to demotivating factors among Iranian EFL learners | 6 |
| 15 | 3 | |
| 16 | 36 | |
| 17 | 60 | |
| 18 | 23 | |
| 19 | 8 | |
| 20 | 44 |
About Tahereh Hassanzadeh
Tahereh Hassanzadeh is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology, having authored 26 papers that have together received 416 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (8 papers), Medical Image Segmentation Techniques (7 papers) and Metaheuristic Optimization Algorithms Research (6 papers). The work is most often cited by research in Artificial Intelligence (246 citations), Computer Vision and Pattern Recognition (153 citations) and Health Informatics (9 citations). Tahereh Hassanzadeh has collaborated with scholars based in Australia, Iran and Netherlands. Frequent co-authors include Ruhul Sarker, Daryl Essam, Mohammad Reza Meybodi, Amir Masoud Eftekhari Moghadam, Hamidreza Rashidy Kanan, Karim Faez, Len Hamey, Kevin Ho‐Shon, Behzad Ghonsooly and M. Reijnierse. Their work appears in journals such as IEEE Access, Annals of the Rheumatic Diseases and IEEE Transactions on Medical Imaging.
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.