Lilas Alrahis
- Hardware and Architecture top 2%
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Cellular and Molecular Neuroscience
- Signal Processing top 10%
- Co-authors
- Ozgur SinanogluSatwik PatnaikMuhammad ShafiqueJohann KnechtelHani SalehMahmoud Al‐QutayriBaker MohammadMuhammad Yasin
- Topics
- Physical Unclonable Functions (PUFs) and Hardware Security (24 papers)Integrated Circuits and Semiconductor Failure Analysis (16 papers)Neuroscience and Neural Engineering (13 papers)
- Cited by
- Hardware and ArchitectureCellular and Molecular NeuroscienceElectrical and Electronic Engineering
- Journals
- IEEE AccessIEEE Transactions on ComputersIEEE Transactions on Information Forensics and Security
- Partner nations
- United StatesUnited Arab EmiratesGermany
In The Last Decade
Lilas Alrahis
28 papers receiving 405 citations
Peers
Comparison fields: 5 of 33
- Hardware and Architecture 317
- Electrical and Electronic Engineering 291
- Artificial Intelligence 134
- Cellular and Molecular Neuroscience 107
- Signal Processing 45
Countries citing papers authored by Lilas Alrahis
This map shows the geographic impact of Lilas Alrahis'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 Lilas Alrahis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lilas Alrahis more than expected).
Fields of papers citing papers by Lilas Alrahis
This network shows the impact of papers produced by Lilas Alrahis. 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 Lilas Alrahis. The network helps show where Lilas Alrahis may publish in the future.
Co-authorship network of co-authors of Lilas Alrahis
This figure shows the co-authorship network connecting the top 25 collaborators of Lilas Alrahis. A scholar is included among the top collaborators of Lilas Alrahis 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 Lilas Alrahis. Lilas Alrahis 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 | 10 | |
| 5 | 6 | |
| 6 | 0 | |
| 7 | 4 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 9 | |
| 12 | 10 | |
| 13 | 23 | |
| 14 | 27 | |
| 15 | 56 | |
| 16 | 45 | |
| 17 | 22 | |
| 18 | 14 | |
| 19 | 35 | |
| 20 | 30 |
About Lilas Alrahis
Lilas Alrahis is a scholar working on Hardware and Architecture, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering, having authored 32 papers that have together received 408 indexed citations. Recurring topics across this work include Physical Unclonable Functions (PUFs) and Hardware Security (24 papers), Integrated Circuits and Semiconductor Failure Analysis (16 papers) and Neuroscience and Neural Engineering (13 papers). The work is most often cited by research in Hardware and Architecture (317 citations), Cellular and Molecular Neuroscience (107 citations) and Electrical and Electronic Engineering (291 citations). Lilas Alrahis has collaborated with scholars based in United States, United Arab Emirates and Germany. Frequent co-authors include Ozgur Sinanoglu, Satwik Patnaik, Muhammad Shafique, Johann Knechtel, Hani Saleh, Mahmoud Al‐Qutayri, Baker Mohammad, Muhammad Yasin, Muhammad Abdullah Hanif and Abhrajit Sengupta. Their work appears in journals such as IEEE Access, IEEE Transactions on Computers and IEEE Transactions on Information Forensics and Security.
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.