Shafiullah Soomro

906 citations
22 papers · 556 · 1 hit paper · h-index 12

Impact in

Papers in

Shafiullah Soomro

19 papers receiving 521 citations

Shafiullah Soomro's Hit Papers

Image Segmentation for MR Brain Tumor Detection Using Machine Learning: A Review 2022 · 182 citations
1820+1+2Years since publication50100150

Peers

Shafiullah Soomro
Comparison fields: 5 of 72
  • Neurology 158
  • Computer Vision and Pattern Recognition 348
  • Ophthalmology 112
  • Radiology, Nuclear Medicine and Imaging 268
  • Media Technology 51
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Rostom Kachouri France
Khin Yadanar Win Thailand
Pierre-Henri Conze France
Saleha Masood Pakistan
Swamidoss Issac Niwas India
Xuanya Li China
Mehrdad Moghbel Malaysia
Shuanglang Feng China
Xuena Cheng China
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Citations per year

Countries citing papers authored by Shafiullah Soomro

Since Specialization
Citations

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

Fields of papers citing papers by Shafiullah Soomro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Shafiullah Soomro, 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 Shafiullah Soomro Line = papers co-authored together Shafiullah Soomro links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Image Segmentation for MR Brain Tumor Detection Using Machine Learning: A Review
Hit paper breakdown →
2022182
2 2019107
3 201956
4 201839
5 201731
6 201825
7 202017
8 202016
9 201615
10 201812
11 201812
12 201711
13 20249
14 20198
15 20205
16 20244
17 20243
18 20242
19 20202
20 20230

About Shafiullah Soomro

Shafiullah Soomro is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Radiology, Nuclear Medicine and Imaging and Ophthalmology, having authored 22 papers that have together received 556 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (16 papers), Image and Object Detection Techniques (5 papers), Advanced Image Fusion Techniques (4 papers), Advanced Neural Network Applications (4 papers), Image and Signal Denoising Methods (3 papers), Image Retrieval and Classification Techniques (3 papers), AI in cancer detection (3 papers) and Image Processing Techniques and Applications (2 papers). The work is most often cited by research in Neurology (158 citations), Computer Vision and Pattern Recognition (348 citations), Ophthalmology (112 citations), Radiology, Nuclear Medicine and Imaging (268 citations) and Media Technology (51 citations). Shafiullah Soomro has collaborated with scholars based in South Korea, Pakistan and Australia. Frequent co-authors include Kwang Nam Choi, Toufique Ahmed Soomro, Junbin Gao, Lihong Zheng, Ahmed J. Afifi, Ahmed Ali, Ming Yin, Olaf Hellwich, Manoranjan Paul and Chang Ha Lee. Their work appears in journals such as IEEE Access, PLoS ONE, IEEE Reviews in Biomedical Engineering, Expert Systems with Applications and Computational and Mathematical Methods in Medicine.

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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