Mina Jafari
Impact in
- Control and Systems Engineering top 10%
- Process Optimization and Integration
- Advanced Control Systems Optimization
- Fault Detection and Control Systems
- Machine Fault Diagnosis Techniques
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- AI in cancer detection
Papers in
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- Gene Regulatory Network Analysis 3
- Gene expression and cancer classification 2
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- Evolutionary Algorithms and Applications 2
- AI in cancer detection 1
- Co-authors
- Xin Chen (2 shared papers)Grazziela P. Figueredo (1 shared paper)Javad Ivakpour (1 shared paper)Norollah Kasiri (1 shared paper)Susan Francis (2 shared papers)Jonathan M. Garibaldi (2 shared papers)Dorothee P. Auer (1 shared paper)Xin Chen (1 shared paper)
- Journals
- Artificial Intelligence in Medicine (1 paper)Medical Image Analysis (1 paper)Energy and Built Environment (1 paper)Energy (1 paper)Sensors (1 paper)
- Partner nations
- IranUnited KingdomNigeria
In The Last Decade
Mina Jafari
11 papers receiving 277 citations
Peers
Comparison fields: 5 of 89
- Control and Systems Engineering 71
- Artificial Intelligence 68
- Computer Vision and Pattern Recognition 42
- Building and Construction 25
- Energy Engineering and Power Technology 5
Countries citing papers authored by Mina Jafari
This map shows the geographic impact of Mina Jafari'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 Mina Jafari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mina Jafari more than expected).
Fields of papers citing papers by Mina Jafari
This network shows the impact of papers produced by Mina Jafari. 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 Mina Jafari. The network helps show where Mina Jafari may publish in the future.
Co-authors
The 14 scholars most cited alongside Mina Jafari, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 84 | |
| 2 | 2014 | 64 | |
| 3 | 2020 | 55 | |
| 4 | 2022 | 16 | |
| 5 | 2023 | 15 | |
| 6 | 2013 | 13 | |
| 7 | 2020 | 12 | |
| 8 | 2023 | 11 | |
| 9 | 2017 | 6 | |
| 10 | 2016 | 2 | |
| 11 | 2015 | 2 |
About Mina Jafari
Mina Jafari is a scholar working on Molecular Biology, Artificial Intelligence, Control and Systems Engineering, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 11 papers that have together received 280 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (3 papers), Gene expression and cancer classification (2 papers), Evolutionary Algorithms and Applications (2 papers), Building Energy and Comfort Optimization (2 papers), Advanced Neural Network Applications (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Environmental Impact and Sustainability (1 paper) and AI in cancer detection (1 paper). The work is most often cited by research in Control and Systems Engineering (71 citations), Artificial Intelligence (68 citations), Computer Vision and Pattern Recognition (42 citations), Building and Construction (25 citations) and Energy Engineering and Power Technology (5 citations). Mina Jafari has collaborated with scholars based in Iran, United Kingdom and Nigeria. Frequent co-authors include Xin Chen, Grazziela P. Figueredo, Javad Ivakpour, Norollah Kasiri, Susan Francis, Jonathan M. Garibaldi, Dorothee P. Auer, Xin Chen, Hassan Khotanlou and Behnam Ghavami. Their work appears in journals such as Artificial Intelligence in Medicine, Medical Image Analysis, Energy and Built Environment, Energy and Sensors.
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.