Saddaf Rubab

44 papers receiving 599 citations

Peers

Saddaf Rubab
Comparison fields: 5 of 107
  • Signal Processing 75
  • Computer Vision and Pattern Recognition 129
  • Neurology 42
  • Radiology, Nuclear Medicine and Imaging 90
  • Computer Networks and Communications 101
Replace Hameedur Rahman with:
Hameedur Rahman Pakistan
Ishfaq Yaseen Saudi Arabia
Semih Ergi̇n Türkiye
Fadwa Alrowais Saudi Arabia
Kamal Gulati India
Vania V. Estrela Brazil
Mehmet Serdar Güzel Türkiye
Usman Habib Pakistan
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A. Balasundaram India
Saddaf Rubab relative to Hameedur Rahman Pakistan Hameedur Rahman's profile →
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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 2019120
2 2021100
3 202352
4 202244
5 202039
6 202227
7 202224
8 202123
9 202218
10 202217
11 202116
12 202216
13 202115
14 202214
15 201210
16 202410
17 20239
18 20228
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 627 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (4 papers), Brain Tumor Detection and Classification (4 papers), Distributed and Parallel Computing Systems (4 papers), Advanced Steganography and Watermarking Techniques (3 papers), Advanced Neural Network Applications (3 papers), Cloud Computing and Resource Management (3 papers), EEG and Brain-Computer Interfaces (3 papers) and Advanced Malware Detection Techniques (3 papers). The work is most often cited by research in Signal Processing (75 citations), Computer Vision and Pattern Recognition (129 citations), Neurology (42 citations), Radiology, Nuclear Medicine and Imaging (90 citations) and Computer Networks and Communications (101 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, Nazeer Muhammad, Yudong Zhang, Suresh Chandra Satapathy, Jamal Hussain Shah, Malik M. Khan, Muhammad Imran Sharif, Badar ul Islam and Farooq Sher. Their work appears in journals such as Computers, materials & continua/Computers, materials & continua (Print), IEEE Access, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Scientific Reports and Sustainable Energy Technologies and Assessments.

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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