Mashael AlSabah

658 citations
14 papers · 337 indexed · h-index 8

Mashael AlSabah

12 papers receiving 328 citations

Peers

Mashael AlSabah
Comparison fields: 5 of 18
  • Signal Processing 128
  • Computer Networks and Communications 221
  • Artificial Intelligence 278
  • Information Systems 107
  • Computer Vision and Pattern Recognition 34
Replace Christian Mainka with:
Christian Mainka Germany
Adwait Nadkarni United States
Riccardo Bortolameotti Netherlands
Ralf-Philipp Weinmann Luxembourg
Tom Van Goethem Belgium
Sheharbano Khattak United Kingdom
Mohammad Saidur Rahman United States
Marc Rennhard Switzerland
Maliheh Shirvanian United States
Rishita Anubhai United States
Mashael AlSabah relative to Christian Mainka Germany Christian Mainka's profile →
Citations per field
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Christian Mainka · 1×
Citations per year

Countries citing papers authored by Mashael AlSabah

Since Specialization
Citations

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

Fields of papers citing papers by Mashael AlSabah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mashael AlSabah. 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 Mashael AlSabah. The network helps show where Mashael AlSabah may publish in the future.

Co-authorship network

The 23 scholars most cited alongside Mashael AlSabah, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mashael AlSabah Line = papers co-authored together Mashael AlSabah links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 20220
2 202217
3 20225
4 202115
5 20197
6 201831
7 20175
8 20174
9 201651
10 20160
11
Circuit fingerprinting attacks: passive deanonymization of tor hidden services
201565
12 201322
13 201258
14 201257

About Mashael AlSabah

Mashael AlSabah is a scholar working on Computer Networks and Communications, Signal Processing and Artificial Intelligence, having authored 14 papers that have together received 337 indexed citations. Recurring topics across this work include Internet Traffic Analysis and Secure E-voting (10 papers), Network Security and Intrusion Detection (10 papers), Advanced Malware Detection Techniques (5 papers), Spam and Phishing Detection (3 papers), Network Traffic and Congestion Control (3 papers), Privacy-Preserving Technologies in Data (3 papers), Cryptography and Data Security (2 papers) and Peer-to-Peer Network Technologies (1 paper). The work is most often cited by research in Signal Processing (128 citations), Computer Networks and Communications (221 citations) and Artificial Intelligence (278 citations). Mashael AlSabah has collaborated with scholars based in Qatar, Canada and United States. Frequent co-authors include Ian Goldberg, Kevin Bauer, Marc Daciér, Srinivas Devadas, David Lazar, Albert Kwon, Roger Dingledine, Gabriele Oligeri, Ryan Riley and Mohsen Guizani. Their work appears in journals such as Computers & Security, ACM Transactions on Privacy and Security, ACM Computing Surveys, IEEE Access and Pervasive and Mobile Computing.

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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