Rehan Hafiz
- Electrical and Electronic Engineering top 5%
- Hardware and Architecture top 2%
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Artificial Intelligence top 10%
- Co-authors
- Muhammad ShafiqueJörg HenkelWaqas AhmadSemeen RehmanOsman HasanMuhammad Abdullah HanifMuhammad Murtaza KhanJihun Cha
- Topics
- Low-power high-performance VLSI design (12 papers)Advanced Neural Network Applications (9 papers)Advanced Vision and Imaging (6 papers)
- Cited by
- Hardware and ArchitectureElectrical and Electronic EngineeringComputer Vision and Pattern Recognition
- Partner nations
- PakistanAustriaSouth Korea
In The Last Decade
Rehan Hafiz
49 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 115
- Electrical and Electronic Engineering 685
- Hardware and Architecture 272
- Computer Vision and Pattern Recognition 229
- Biomedical Engineering 146
- Artificial Intelligence 118
Countries citing papers authored by Rehan Hafiz
This map shows the geographic impact of Rehan Hafiz'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 Rehan Hafiz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rehan Hafiz more than expected).
Fields of papers citing papers by Rehan Hafiz
This network shows the impact of papers produced by Rehan Hafiz. 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 Rehan Hafiz. The network helps show where Rehan Hafiz may publish in the future.
Co-authorship network of co-authors of Rehan Hafiz
This figure shows the co-authorship network connecting the top 25 collaborators of Rehan Hafiz. A scholar is included among the top collaborators of Rehan Hafiz 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 Rehan Hafiz. Rehan Hafiz 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 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 10 | |
| 6 | 4 | |
| 7 | 16 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 9 | |
| 12 | 14 | |
| 13 | 5 | |
| 14 | 11 | |
| 15 | 2 | |
| 16 | 63 | |
| 17 | 33 | |
| 18 | 30 | |
| 19 | 15 | |
| 20 | 15 |
About Rehan Hafiz
Rehan Hafiz is a scholar working on Computer Vision and Pattern Recognition, Hardware and Architecture and Computer Graphics and Computer-Aided Design, having authored 55 papers that have together received 1.1k indexed citations. Recurring topics across this work include Low-power high-performance VLSI design (12 papers), Advanced Neural Network Applications (9 papers) and Advanced Vision and Imaging (6 papers). The work is most often cited by research in Hardware and Architecture (272 citations), Electrical and Electronic Engineering (685 citations) and Computer Vision and Pattern Recognition (229 citations). Rehan Hafiz has collaborated with scholars based in Pakistan, Austria and South Korea. Frequent co-authors include Muhammad Shafique, Jörg Henkel, Waqas Ahmad, Semeen Rehman, Osman Hasan, Muhammad Abdullah Hanif, Muhammad Murtaza Khan, Jihun Cha, K.M. Bile and Huma Qureshi. Their work appears in journals such as The Journal of Infectious Diseases, IEEE Access and Neurocomputing.
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.