Faria Nazir
Impact in
- Neurology top 5%
- Brain Tumor Detection and Classification
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- Artificial Intelligence in Healthcare
Papers in
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- Speech Recognition and Synthesis 3
- Speech and dialogue systems 1
- Sentiment Analysis and Opinion Mining 1
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- Music and Audio Processing 2
- Speech and Audio Processing 2
- Co-authors
- Muazzam Maqsood (6 shared papers)Irfan Mehmood (3 shared papers)Farhan Aadil (3 shared papers)Umair Khan (2 shared papers)Oh-Young Song (2 shared papers)Habibullah Jamal (1 shared paper)Mustansar Ali Ghazanfar (4 shared papers)Khalid Mahmood Awan (1 shared paper)
- Journals
- IEEE Access (2 papers)Sensors (1 paper)Multimedia Systems (1 paper)Multimedia Tools and Applications (1 paper)Mehran University Research Journal of Engineering and Technology (1 paper)
- Partner nations
- PakistanUnited KingdomSouth Korea
In The Last Decade
Faria Nazir
6 papers receiving 314 citations
Peers
Comparison fields: 5 of 76
- Neurology 126
- Health Information Management 53
- Health Informatics 7
- Artificial Intelligence 140
- Signal Processing 34
Countries citing papers authored by Faria Nazir
This map shows the geographic impact of Faria Nazir'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 Faria Nazir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Faria Nazir more than expected).
Fields of papers citing papers by Faria Nazir
This network shows the impact of papers produced by Faria Nazir. 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 Faria Nazir. The network helps show where Faria Nazir may publish in the future.
Co-authors
The 11 scholars most cited alongside Faria Nazir, 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 | 2019 | 144 | |
| 2 | 2019 | 102 | |
| 3 | 2019 | 36 | |
| 4 | 2018 | 35 | |
| 5 | 2021 | 4 | |
| 6 | 2021 | 3 |
About Faria Nazir
Faria Nazir is a scholar working on Artificial Intelligence, Signal Processing, Health Information Management, Information Systems and Computer Vision and Pattern Recognition, having authored 6 papers that have together received 324 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (3 papers), Music and Audio Processing (2 papers), Speech and Audio Processing (2 papers), Spam and Phishing Detection (1 paper), Speech and dialogue systems (1 paper), Sentiment Analysis and Opinion Mining (1 paper), Artificial Intelligence in Healthcare (1 paper) and Medical Image Segmentation Techniques (1 paper). The work is most often cited by research in Neurology (126 citations), Health Information Management (53 citations), Health Informatics (7 citations), Artificial Intelligence (140 citations) and Signal Processing (34 citations). Faria Nazir has collaborated with scholars based in Pakistan, United Kingdom and South Korea. Frequent co-authors include Muazzam Maqsood, Irfan Mehmood, Farhan Aadil, Umair Khan, Oh-Young Song, Habibullah Jamal, Mustansar Ali Ghazanfar, Khalid Mahmood Awan, Sitara Afzal and Muhammad Nadeem Majeed. Their work appears in journals such as IEEE Access, Sensors, Multimedia Systems, Multimedia Tools and Applications and Mehran University Research Journal of Engineering and Technology.
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.