Samad Wali

730 citations
29 papers · 527 · h-index 10

Impact in

Papers in

Samad Wali

27 papers receiving 512 citations

Peers

Samad Wali
Comparison fields: 5 of 74
  • Computer Vision and Pattern Recognition 194
  • Media Technology 69
  • Health Information Management 22
  • Radiology, Nuclear Medicine and Imaging 72
  • Information Systems 81
Replace Jihene Malek with:
Jihene Malek Tunisia
Hieu Trung Nguyen Norway
Nadia Nawaz Qadri Pakistan
Rajib Kumar Jha India
Arvind Dhaka India
Dinesh D. Patil United States
Safwat H. Hamad Egypt
Mohammad S. Alam United States
Zhengui Xue China
Han Chen China
Samad Wali relative to Jihene Malek Tunisia Jihene Malek's profile →
Citations per field
00.5×1.5×2×2.5×
Jihene Malek · 1×
Citations per year

Countries citing papers authored by Samad Wali

Since Specialization
Citations

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

Fields of papers citing papers by Samad Wali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021100
2 201958
3 202155
4 202247
5 202043
6 202035
7 201931
8 202031
9 202324
10 202120
11 202510
12 20208
13 20188
14 20228
15 20218
16 20197
17 20195
18 20255
19 20195
20 20254

About Samad Wali

Samad Wali is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Statistical and Nonlinear Physics, Computational Mechanics and Signal Processing, having authored 29 papers that have together received 527 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (7 papers), Advanced Image Processing Techniques (4 papers), Medical Image Segmentation Techniques (4 papers), Nonlinear Waves and Solitons (3 papers), Image Enhancement Techniques (3 papers), AI in cancer detection (3 papers), Advanced SAR Imaging Techniques (2 papers) and Radar Systems and Signal Processing (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (194 citations), Media Technology (69 citations), Health Information Management (22 citations), Radiology, Nuclear Medicine and Imaging (72 citations) and Information Systems (81 citations). Samad Wali has collaborated with scholars based in China, Pakistan and United Arab Emirates. Frequent co-authors include Abdul Basit, Mehboob Hussain, Abid Hussain, Zia-ur Rahman, Yi‐Fei Pu, Muhammad Aamir, Lian-Fu Wei, Abdullah Lakhan, Lipeng Xie and Jin Qi. Their work appears in journals such as IEEE Access, Scientific Reports, Signal Processing, Neurocomputing and Numerical Mathematics Theory Methods and Applications.

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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