Ayaz Akram
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
- Physical Unclonable Functions (PUFs) and Hardware Security
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- Interconnection Networks and Systems
- Advanced Data Storage Technologies
- Network Security and Intrusion Detection
Papers in
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- Advanced Data Storage Technologies 6
- Interconnection Networks and Systems 3
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- Parallel Computing and Optimization Techniques 9
- Embedded Systems Design Techniques 5
- Co-authors
- Maria Mushtaq (3 shared papers)Guy Gogniat (3 shared papers)Muhammad Khurram Bhatti (3 shared papers)Vianney Lapôtre (3 shared papers)Jason Lowe-Power (5 shared papers)Sean Peisert (2 shared papers)Venkatesh Akella (2 shared papers)Pascal Benoit (1 shared paper)
- Journals
- IEEE Access (3 papers)eScholarship (California Digital Library) (2 papers)ScholarWorks - WMU (Western Michigan University) (1 paper)
- Partner nations
- United StatesPakistanFrance
In The Last Decade
Ayaz Akram
14 papers receiving 207 citations
Peers
Comparison fields: 5 of 27
- Hardware and Architecture 116
- Computer Networks and Communications 112
- Signal Processing 52
- Artificial Intelligence 98
- Information Systems 35
Countries citing papers authored by Ayaz Akram
This map shows the geographic impact of Ayaz Akram'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 Ayaz Akram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ayaz Akram more than expected).
Fields of papers citing papers by Ayaz Akram
This network shows the impact of papers produced by Ayaz Akram. 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 Ayaz Akram. The network helps show where Ayaz Akram may publish in the future.
Co-authors
The 14 scholars most cited alongside Ayaz Akram, 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 | 46 | |
| 2 | 2020 | 37 | |
| 3 | 2016 | 24 | |
| 4 | 2021 | 24 | |
| 5 | 2018 | 20 | |
| 6 | 2020 | 15 | |
| 7 | 2016 | 13 | |
| 8 | 2019 | 13 | |
| 9 | 2019 | 7 | |
| 10 | 2022 | 6 | |
| 11 | 2023 | 5 | |
| 12 | A Study on the Impact of Instruction Set Architectures on Processor’s Performance | 2017 | 4 |
| 13 | 2021 | 2 | |
| 14 | 2016 | 1 | |
| 15 | Comparison of Edge Detectors | 2013 | 1 |
| 16 | 2025 | 0 |
About Ayaz Akram
Ayaz Akram is a scholar working on Computer Networks and Communications, Hardware and Architecture, Artificial Intelligence, Signal Processing and Molecular Biology, having authored 16 papers that have together received 218 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (9 papers), Advanced Data Storage Technologies (6 papers), Embedded Systems Design Techniques (5 papers), Security and Verification in Computing (5 papers), Advanced Malware Detection Techniques (4 papers), Interconnection Networks and Systems (3 papers), Innovation in Digital Healthcare Systems (1 paper) and Ferroelectric and Negative Capacitance Devices (1 paper). The work is most often cited by research in Hardware and Architecture (116 citations), Computer Networks and Communications (112 citations), Signal Processing (52 citations), Artificial Intelligence (98 citations) and Information Systems (35 citations). Ayaz Akram has collaborated with scholars based in United States, Pakistan and France. Frequent co-authors include Maria Mushtaq, Guy Gogniat, Muhammad Khurram Bhatti, Vianney Lapôtre, Jason Lowe-Power, Sean Peisert, Venkatesh Akella, Pascal Benoit, Umer Farooq and Abdul Waheed. Their work appears in journals such as IEEE Access, eScholarship (California Digital Library) and ScholarWorks - WMU (Western Michigan University).
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.