Sharib Ali

2.5k citations
46 papers · 1.0k indexed · 2 hit papers · h-index 15
Topics
Medical Image Segmentation Techniques (12 papers)Colorectal Cancer Screening and Detection (10 papers)Advanced Image and Video Retrieval Techniques (7 papers)

In The Last Decade

Sharib Ali

43 papers receiving 1.0k citations

Hit Papers

Real-Time Polyp Detection, Localization and Segmentation ...20212026202220242021202250100150200

Peers

Sharib Ali
Comparison fields: 5 of 84
  • Radiology, Nuclear Medicine and Imaging 500
  • Computer Vision and Pattern Recognition 471
  • Oncology 317
  • Artificial Intelligence 310
  • Ophthalmology 125
Replace Adrián Colomer with:
Adrián Colomer Spain
Qiangguo Jin China
Tahir Mahmood South Korea
Rahil Garnavi Australia
Kelei He China
Shujun Wang China
Debdoot Sheet India
João Dallyson Sousa de Almeida Brazil
Xiangde Luo China
Dehui Xiang China
Sharib Ali relative to Adrián Colomer Spain Adrián Colomer's profile →
Citations per field
00.5×6.3×
Adrián Colomer · 1×
Citations per year

Countries citing papers authored by Sharib Ali

Since Specialization
Citations

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

Fields of papers citing papers by Sharib Ali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sharib Ali

This figure shows the co-authorship network connecting the top 25 collaborators of Sharib Ali. A scholar is included among the top collaborators of Sharib Ali 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 Sharib Ali. Sharib Ali 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
#WorkIndexed citations
1 0
2 1
3 8
4 0
5 0
6 64
7 3
8 32
9 5
10 90
11 51
12 15
13
Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learningbreakdown →
237
14
Ensemble U-Net Model for Efficient Polyp Segmentation.
3
15
Real-Time Polyp Segmentation Using U-Net with IoU Loss.
1
16 6
17 64
18 2
19 12
20 81

About Sharib Ali

Sharib Ali is a scholar working on Computer Vision and Pattern Recognition, Health Informatics and Radiology, Nuclear Medicine and Imaging, having authored 46 papers that have together received 1.0k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (12 papers), Colorectal Cancer Screening and Detection (10 papers) and Advanced Image and Video Retrieval Techniques (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (471 citations), Radiology, Nuclear Medicine and Imaging (500 citations) and Health Informatics (19 citations). Sharib Ali has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include Debesh Jha, Nikhil Kumar Tomar, Jens Rittscher, Pål Halvorsen, Michael A. Riegler, Håvard D. Johansen, Dag Johansen, Ulaş Bağcı, Edward Chaum and Désiré Sidibé. Their work appears in journals such as NeuroImage, Cancer Research and Annals of Surgery.

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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