Subariah Ibrahim

776 citations
47 papers · 512 · h-index 11

Impact in

Papers in

Subariah Ibrahim

43 papers receiving 384 citations

Peers

Subariah Ibrahim
Comparison fields: 5 of 64
  • Computer Vision and Pattern Recognition 363
  • Signal Processing 79
  • Artificial Intelligence 132
  • Information Systems 87
  • Mathematical Physics 16
Replace R. Sivaraman with:
R. Sivaraman India
Ibrahim Elashry Egypt
Daniel Socek United States
Xiangli Xiao China
Xuechang Ren China
Ensherah A. Naeem Egypt
Hanqing Zhao China
Fang Cao China
Wenjie Zhou China
Hengjian Li China
Subariah Ibrahim relative to R. Sivaraman India R. Sivaraman's profile →
Citations per field
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R. Sivaraman · 1×
Citations per year

Countries citing papers authored by Subariah Ibrahim

Since Specialization
Citations

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

Fields of papers citing papers by Subariah Ibrahim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Subariah Ibrahim, 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 Subariah Ibrahim Line = papers co-authored together Subariah Ibrahim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003121
2 200341
3 200340
4 201135
5 201230
6 200929
7 199924
8 200919
9 201015
10 201013
11
A steganography method based on hiding secrete data in Mpeg/audio layer III
201113
12
A New Method for Audio Steganography Using Message Integrity
201310
13
Steganography : random LSB insertion using discrete logarithm
20039
14 20109
15
MP3 Steganography: Review
20128
16 20107
17
A Review on Biological Inspired Computation in Cryptology
20057
18 20106
19 20156
20 20146

About Subariah Ibrahim

Subariah Ibrahim is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Signal Processing and Biomedical Engineering, having authored 47 papers that have together received 512 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (22 papers), Chaos-based Image/Signal Encryption (19 papers), Digital Media Forensic Detection (14 papers), Biometric Identification and Security (5 papers), Cryptography and Data Security (5 papers), Internet Traffic Analysis and Secure E-voting (5 papers), User Authentication and Security Systems (4 papers) and Photoacoustic and Ultrasonic Imaging (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (363 citations), Signal Processing (79 citations), Artificial Intelligence (132 citations), Information Systems (87 citations) and Mathematical Physics (16 citations). Subariah Ibrahim has collaborated with scholars based in Malaysia, United Kingdom and Saudi Arabia. Frequent co-authors include Mazleena Salleh, Ismail Fauzi Isnin, Puteh Saad, Maznah Kamat, Mahboubeh Shamsi, K. Dutton, Ghazali Sulong, Kristine O. Evans, Mohd Aizaini Maarof and Anders Goude. Their work appears in journals such as Measurement Science and Technology, Indian Journal of Science and Technology, Jurnal Teknologi, Measurement and Control and Information Technology Journal.

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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