Summrina Kanwal

575 total citations
22 papers, 371 citations indexed

About

Summrina Kanwal is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Summrina Kanwal has authored 22 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 4 papers in Signal Processing. Recurrent topics in Summrina Kanwal's work include AI in cancer detection (4 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Image and Signal Denoising Methods (2 papers). Summrina Kanwal is often cited by papers focused on AI in cancer detection (4 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Image and Signal Denoising Methods (2 papers). Summrina Kanwal collaborates with scholars based in Saudi Arabia, Pakistan and United Kingdom. Summrina Kanwal's co-authors include Amir Hussain, Sultan Alamri, Muhammad Hussain, Ali El‐Zaart, Usama Mir, Ubaid Abbasi, Kaizhu Huang, Talha Mir, Jingpeng Li and Guang Yang and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.

In The Last Decade

Summrina Kanwal

21 papers receiving 356 citations

Peers

Summrina Kanwal
Comparison fields: 5 of 96
  • Artificial Intelligence 185
  • Computer Vision and Pattern Recognition 67
  • Radiology, Nuclear Medicine and Imaging 61
  • Information Systems 49
  • Computer Networks and Communications 46
Tamanna Siddiqui India
Bryar A. Hassan Iraq
Song Yang China
Mohammed Eshtay Jordan
Hadeel Alsolai Saudi Arabia
Mohammad Hashem Ryalat Jordan
Hakan Ezgi Kızılöz Türkiye
Pradip Dhal India
Jianzhong Qiao China
Tamanna Siddiqui India View profile →
Citations per field, relative to Summrina Kanwal
Summrina Kanwal · 1×
Citations per year, relative to Summrina Kanwal
Summrina Kanwal · 1×

Countries citing papers authored by Summrina Kanwal

Since Specialization
Citations

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

Fields of papers citing papers by Summrina Kanwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Summrina Kanwal

This figure shows the co-authorship network connecting the top 25 collaborators of Summrina Kanwal. A scholar is included among the top collaborators of Summrina Kanwal based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Summrina Kanwal. Summrina Kanwal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 4
3 0
4 8
5 5
6 1
7 9
8 1
9 10
10 32
11 18
12 30
13 22
14 43
15 15
16 3
17 13
18 12
19 40
20
Robust and Imperceptible Image Watermarking using Full Counter Propagation Neural Networks
4

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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