Muhammad Abdullah Hanif
- Electrical and Electronic Engineering top 10%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Hardware and Architecture top 5%
- Computer Networks and Communications top 10%
- Co-authors
- Muhammad ShafiqueSemeen RehmanFaiq KhalidRachmad Vidya Wicaksana PutraRehan HafizAlberto MarchisioOsman HasanVojtěch Mrázek
- Topics
- Advanced Neural Network Applications (24 papers)Adversarial Robustness in Machine Learning (21 papers)Advanced Memory and Neural Computing (20 papers)
- Partner nations
- AustriaUnited Arab EmiratesPakistan
In The Last Decade
Muhammad Abdullah Hanif
65 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 82
- Electrical and Electronic Engineering 638
- Artificial Intelligence 379
- Computer Vision and Pattern Recognition 262
- Hardware and Architecture 207
- Computer Networks and Communications 103
Countries citing papers authored by Muhammad Abdullah Hanif
This map shows the geographic impact of Muhammad Abdullah Hanif'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 Muhammad Abdullah Hanif with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Abdullah Hanif more than expected).
Fields of papers citing papers by Muhammad Abdullah Hanif
This network shows the impact of papers produced by Muhammad Abdullah Hanif. 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 Muhammad Abdullah Hanif. The network helps show where Muhammad Abdullah Hanif may publish in the future.
Co-authorship network of co-authors of Muhammad Abdullah Hanif
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Abdullah Hanif. A scholar is included among the top collaborators of Muhammad Abdullah Hanif 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 Muhammad Abdullah Hanif. Muhammad Abdullah Hanif 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 | 2 | |
| 3 | 3 | |
| 4 | 8 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 9 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 13 | |
| 11 | 13 | |
| 12 | 8 | |
| 13 | Automated HW/SW Co-design for Edge AI: State, Challenges and Steps Ahead: Special Session Paper | 0 |
| 14 | Ensemble Based Method for the Classification of Flooding Event Using Social Media Data. | 3 |
| 15 | SNN under Attack: are Spiking Deep Belief Networks vulnerable to Adversarial Examples? | 1 |
| 16 | 32 | |
| 17 | 22 | |
| 18 | 48 | |
| 19 | 63 | |
| 20 | 33 |
About Muhammad Abdullah Hanif
Muhammad Abdullah Hanif is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 73 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (24 papers), Adversarial Robustness in Machine Learning (21 papers) and Advanced Memory and Neural Computing (20 papers). The work is most often cited by research in Hardware and Architecture (207 citations), Computer Vision and Pattern Recognition (262 citations) and Artificial Intelligence (379 citations). Muhammad Abdullah Hanif has collaborated with scholars based in Austria, United Arab Emirates and Pakistan. Frequent co-authors include Muhammad Shafique, Semeen Rehman, Faiq Khalid, Rachmad Vidya Wicaksana Putra, Rehan Hafiz, Alberto Marchisio, Osman Hasan, Vojtěch Mrázek, Theocharis Theocharides and Salim Ullah. Their work appears in journals such as IEEE Access, ACM Computing Surveys and Sustainability.
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.