Cemil Kirbas

17 papers receiving 1.1k citations

Cemil Kirbas's Hit Papers

A review of vessel extraction techniques and algorithms 2004 · 644 citations
6440+7+14Years since publication200400600

Peers

Cemil Kirbas
Comparison fields: 5 of 108
  • Computer Vision and Pattern Recognition 638
  • Human-Computer Interaction 136
  • Radiology, Nuclear Medicine and Imaging 504
  • Ophthalmology 142
  • Computer Graphics and Computer-Aided Design 42
Replace Guha Balakrishnan with:
Guha Balakrishnan United States
Chuchart Pintavirooj Thailand
Alireza Tavakkoli United States
Qinmu Peng China
Qianni Zhang United Kingdom
Peter Peer Slovenia
Anthony J. Sherbondy United States
Jayanthi Sivaswamy India
Kai-Fu Yang China
Fucang Jia China
Cemil Kirbas relative to Guha Balakrishnan United States Guha Balakrishnan's profile →
Citations per field
00.5×8.9×
Guha Balakrishnan · 1×
Citations per year

Countries citing papers authored by Cemil Kirbas

Since Specialization
Citations

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

Fields of papers citing papers by Cemil Kirbas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Cemil Kirbas, 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 Cemil Kirbas Line = papers co-authored together Cemil Kirbas links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1
A review of vessel extraction techniques and algorithms
Hit paper breakdown →
2004644
2 2002181
3 200186
4 200384
5 201432
6 200229
7 201025
8 200314
9 200310
10 19999
11 20029
12 20028
13 20226
14 20025
15 20024
16 20023
17 20141

About Cemil Kirbas

Cemil Kirbas is a scholar working on Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Artificial Intelligence, having authored 17 papers that have together received 1.1k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (7 papers), Cerebrovascular and Carotid Artery Diseases (5 papers), Hand Gesture Recognition Systems (3 papers), Retinal Imaging and Analysis (3 papers), Hearing Impairment and Communication (3 papers), Advanced MRI Techniques and Applications (2 papers), Speech and dialogue systems (2 papers) and IoT and Edge/Fog Computing (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (638 citations), Human-Computer Interaction (136 citations), Radiology, Nuclear Medicine and Imaging (504 citations), Ophthalmology (142 citations) and Computer Graphics and Computer-Aided Design (42 citations). Cemil Kirbas has collaborated with scholars based in United States. Frequent co-authors include Francis Quek, Robert Bryll, Rashid Ansari, David McNeill, Susan Duncan, Xinfeng Ma, Jason G. Parker, Fady T. Charbel, David McNeill and Nobuhiro Furuyama. Their work appears in journals such as ACM Computing Surveys, IEEE Transactions on Medical Imaging, ACM Transactions on Computer-Human Interaction, Multimedia Tools and Applications and IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics).

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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