Mahwish Ilyas
- Experimental and Cognitive Psychology top 5%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Social Psychology
- Human-Computer Interaction top 10%
- Co-authors
- Muhammad RamzanAhsan MahmoodHikmat Ullah KhanShahid Mahmood AwanMuzamil AhmedAdnan AbidMohamed DericheShahid Mehmood
- Topics
- Digital Imaging for Blood Diseases (4 papers)Gene expression and cancer classification (2 papers)Machine Learning in Bioinformatics (1 paper)
- Cited by
- Experimental and Cognitive PsychologyHuman-Computer InteractionComputer Vision and Pattern Recognition
- Partner nations
- PakistanUnited Arab EmiratesSaudi Arabia
In The Last Decade
Mahwish Ilyas
8 papers receiving 340 citations
Hit Papers
Peers
Comparison fields: 5 of 67
- Experimental and Cognitive Psychology 171
- Artificial Intelligence 123
- Computer Vision and Pattern Recognition 112
- Social Psychology 70
- Human-Computer Interaction 48
Countries citing papers authored by Mahwish Ilyas
This map shows the geographic impact of Mahwish Ilyas'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 Mahwish Ilyas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mahwish Ilyas more than expected).
Fields of papers citing papers by Mahwish Ilyas
This network shows the impact of papers produced by Mahwish Ilyas. 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 Mahwish Ilyas. The network helps show where Mahwish Ilyas may publish in the future.
Co-authorship network of co-authors of Mahwish Ilyas
This figure shows the co-authorship network connecting the top 25 collaborators of Mahwish Ilyas. A scholar is included among the top collaborators of Mahwish Ilyas 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 Mahwish Ilyas. Mahwish Ilyas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 4 | |
| 4 | 10 | |
| 5 | 2 | |
| 6 | A Survey on State-of-the-Art Drowsiness Detection Techniquesbreakdown → | 213 |
| 7 | 99 | |
| 8 | 15 | |
| 9 | 19 |
About Mahwish Ilyas
Mahwish Ilyas is a scholar working on Computer Vision and Pattern Recognition, Periodontics and Human-Computer Interaction, having authored 9 papers that have together received 365 indexed citations. Recurring topics across this work include Digital Imaging for Blood Diseases (4 papers), Gene expression and cancer classification (2 papers) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Experimental and Cognitive Psychology (171 citations), Human-Computer Interaction (48 citations) and Computer Vision and Pattern Recognition (112 citations). Mahwish Ilyas has collaborated with scholars based in Pakistan, United Arab Emirates and Saudi Arabia. Frequent co-authors include Muhammad Ramzan, Ahsan Mahmood, Hikmat Ullah Khan, Shahid Mahmood Awan, Muzamil Ahmed, Adnan Abid, Mohamed Deriche, Shahid Mehmood, Waseem Akhtar and Muhammad Bilal. Their work appears in journals such as PLoS ONE, IEEE Access and Arabian Journal for Science and Engineering.
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.