Sina Mohseni
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Safety Research top 10%
- Control and Systems Engineering
- Co-authors
- Eric D. RaganZhangyang WangAmin MahmoudiHajar AbediBijan ZakeriFan YangChaowei XiaoMohammad Mirzaie
- Topics
- Adversarial Robustness in Machine Learning (7 papers)Explainable Artificial Intelligence (XAI) (6 papers)High voltage insulation and dielectric phenomena (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaACM Computing SurveysJournal of Alloys and Compounds
- Partner nations
- IranUnited StatesAustralia
In The Last Decade
Sina Mohseni
23 papers receiving 351 citations
Peers
Comparison fields: 5 of 67
- Artificial Intelligence 210
- Computer Vision and Pattern Recognition 81
- Electrical and Electronic Engineering 70
- Safety Research 38
- Control and Systems Engineering 36
Countries citing papers authored by Sina Mohseni
This map shows the geographic impact of Sina Mohseni'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 Sina Mohseni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sina Mohseni more than expected).
Fields of papers citing papers by Sina Mohseni
This network shows the impact of papers produced by Sina Mohseni. 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 Sina Mohseni. The network helps show where Sina Mohseni may publish in the future.
Co-authorship network of co-authors of Sina Mohseni
This figure shows the co-authorship network connecting the top 25 collaborators of Sina Mohseni. A scholar is included among the top collaborators of Sina Mohseni 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 Sina Mohseni. Sina Mohseni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 15 | |
| 3 | 17 | |
| 4 | 25 | |
| 5 | 17 | |
| 6 | 87 | |
| 7 | Practical Solutions for Machine Learning Safety in Autonomous Vehicles. | 2 |
| 8 | 4 | |
| 9 | 54 | |
| 10 | A Survey of Evaluation Methods and Measures for Interpretable Machine Learning | 42 |
| 11 | 2 | |
| 12 | 3 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 6 | |
| 16 | 31 | |
| 17 | 10 | |
| 18 | 2 | |
| 19 | Facial expression recognition using DCT features and neural network based decision tree | 8 |
| 20 | 3 |
About Sina Mohseni
Sina Mohseni is a scholar working on Health Informatics, Artificial Intelligence and Software, having authored 23 papers that have together received 365 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (7 papers), Explainable Artificial Intelligence (XAI) (6 papers) and High voltage insulation and dielectric phenomena (4 papers). The work is most often cited by research in Health Informatics (25 citations), Artificial Intelligence (210 citations) and Safety Research (38 citations). Sina Mohseni has collaborated with scholars based in Iran, United States and Australia. Frequent co-authors include Eric D. Ragan, Zhangyang Wang, Amin Mahmoudi, Hajar Abedi, Bijan Zakeri, Fan Yang, Chaowei Xiao, Mohammad Mirzaie, Zhiding Yu and Ahmed Abu‐Siada. Their work appears in journals such as SHILAP Revista de lepidopterología, ACM Computing Surveys and Journal of Alloys and Compounds.
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.