Saddaf Rubab

41 papers receiving 558 citations

Peers

Saddaf Rubab
Comparison fields: 5 of 106
  • Signal Processing 71
  • Computer Vision and Pattern Recognition 125
  • Neurology 42
  • Artificial Intelligence 146
  • Computer Networks and Communications 97
Replace Sami Dhahbi with:
Sami Dhahbi Saudi Arabia
Ishfaq Yaseen Saudi Arabia
Hameedur Rahman Pakistan
Semih Ergi̇n Türkiye
Usman Habib Pakistan
Fadwa Alrowais Saudi Arabia
Vania V. Estrela Brazil
Javad Rahebi Türkiye
V. Muneeswaran India
Mohamed Youssfi Morocco
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Citations per year

Countries citing papers authored by Saddaf Rubab

Since Specialization
Citations

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

Fields of papers citing papers by Saddaf Rubab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Saddaf Rubab, 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 Saddaf Rubab Line = papers co-authored together Saddaf Rubab links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019117
2 202199
3 202347
4 202240
5 202039
6 202226
7 202222
8 202121
9 202215
10 202115
11 202115
12 202215
13 202214
14 202214
15 201210
16 20228
17 20238
18 20247
19 20226
20
Improved Image Steganography Technique for Colored Images using Huffman Encoding with Symlet Wavelets
20126

About Saddaf Rubab

Saddaf Rubab is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Information Systems, Artificial Intelligence and Electrical and Electronic Engineering, having authored 51 papers that have together received 591 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (4 papers), Distributed and Parallel Computing Systems (4 papers), Brain Tumor Detection and Classification (4 papers), Advanced Steganography and Watermarking Techniques (3 papers), Advanced Neural Network Applications (3 papers), Video Surveillance and Tracking Methods (3 papers), Cloud Computing and Resource Management (3 papers) and Advanced Malware Detection Techniques (3 papers). The work is most often cited by research in Signal Processing (71 citations), Computer Vision and Pattern Recognition (125 citations), Neurology (42 citations), Artificial Intelligence (146 citations) and Computer Networks and Communications (97 citations). Saddaf Rubab has collaborated with scholars based in Pakistan, United Arab Emirates and Saudi Arabia. Frequent co-authors include Muhammad Attique Khan, Syed Ali Ammar Taqvi, Yudong Zhang, Muhammad Imran Sharif, Jamal Hussain Shah, Nazeer Muhammad, Suresh Chandra Satapathy, Farooq Sher, T. Murugesan and Tazien Rashid. Their work appears in journals such as Computers, materials & continua/Computers, materials & continua (Print), IEEE Access, Scientific Reports, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing and IEEE Transactions on Consumer Electronics.

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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