Mohammad Al-Rubaie

554 citations
5 papers · 307 indexed · h-index 4
Topics
Cryptography and Data Security (3 papers)Privacy-Preserving Technologies in Data (3 papers)User Authentication and Security Systems (2 papers)
Journals
IEEE Transactions on Information Forensics and SecurityIEEE Security & PrivacyIowa State University Digital Repository (Iowa State University)
Partner nations
United States

In The Last Decade

Mohammad Al-Rubaie

5 papers receiving 300 citations

Peers

Mohammad Al-Rubaie
Comparison fields: 5 of 57
  • Artificial Intelligence 226
  • Information Systems 51
  • Computer Vision and Pattern Recognition 46
  • Computer Networks and Communications 42
  • Signal Processing 35
Replace Christopher A. Choquette-Choo with:
Christopher A. Choquette-Choo United States
Nuria Rodríguez-Barroso Spain
Fatemehsadat Mireshghallah United States
Baiwu Zhang Canada
Andrew Trask United Kingdom
Dingfan Chen Germany
Sahar Abdelnabi Germany
Scott Alfeld United States
Ahmed Moustafa Japan
Mohammad Al-Rubaie relative to Christopher A. Choquette-Choo United States Christopher A. Choquette-Choo's profile →
Citations per field
00.5×4.3×
Christopher A. Choquette-Choo · 1×
Citations per year

Countries citing papers authored by Mohammad Al-Rubaie

Since Specialization
Citations

This map shows the geographic impact of Mohammad Al-Rubaie'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 Mohammad Al-Rubaie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Al-Rubaie more than expected).

Fields of papers citing papers by Mohammad Al-Rubaie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammad Al-Rubaie. 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 Mohammad Al-Rubaie. The network helps show where Mohammad Al-Rubaie may publish in the future.

Co-authorship network of co-authors of Mohammad Al-Rubaie

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Al-Rubaie. A scholar is included among the top collaborators of Mohammad Al-Rubaie 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 Mohammad Al-Rubaie. Mohammad Al-Rubaie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
#WorkIndexed citations
1 4
2 252
3
Towards privacy-aware mobile-based continuous authentication systems
2
4 16
5 33

About Mohammad Al-Rubaie

Mohammad Al-Rubaie is a scholar working on Statistics and Probability, Artificial Intelligence and Signal Processing, having authored 5 papers that have together received 307 indexed citations. Recurring topics across this work include Cryptography and Data Security (3 papers), Privacy-Preserving Technologies in Data (3 papers) and User Authentication and Security Systems (2 papers). The work is most often cited by research in Health Informatics (26 citations), Artificial Intelligence (226 citations) and Computer Science Applications (22 citations). Mohammad Al-Rubaie has collaborated with scholars based in United States. Frequent co-authors include J. Morris Chang, Pei-Yuan Wu and Sun‐Yuan Kung. Their work appears in journals such as IEEE Transactions on Information Forensics and Security, IEEE Security & Privacy and Iowa State University Digital Repository (Iowa State 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.

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