Kazım Hanbay

667 citations
33 papers · 508 indexed · h-index 12
Topics
Industrial Vision Systems and Defect Detection (11 papers)Image Processing Techniques and Applications (9 papers)Medical Image Segmentation Techniques (7 papers)
Partner nations
Türkiye

In The Last Decade

Kazım Hanbay

30 papers receiving 475 citations

Peers

Kazım Hanbay
Comparison fields: 5 of 70
  • Computer Vision and Pattern Recognition 271
  • Industrial and Manufacturing Engineering 262
  • Media Technology 159
  • Computational Mechanics 109
  • Polymers and Plastics 53
Replace Diego Carrera with:
Diego Carrera Italy
Erhu Zhang China
Xiaoqing Zheng China
Huaidong Zhang China
Hanxi Li China
Alessio Tonioni Italy
Shi-Nine Yang Taiwan
Zizhao Wu China
Xianen Zhou China
Kazım Hanbay relative to Diego Carrera Italy Diego Carrera's profile →
Citations per field
00.5×10×13.3×
Diego Carrera · 1×
Citations per year

Countries citing papers authored by Kazım Hanbay

Since Specialization
Citations

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

Fields of papers citing papers by Kazım Hanbay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazım Hanbay

This figure shows the co-authorship network connecting the top 25 collaborators of Kazım Hanbay. A scholar is included among the top collaborators of Kazım Hanbay 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 Kazım Hanbay. Kazım Hanbay 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 1
2 0
3 1
4 1
5 1
6 11
7 3
8 16
9 29
10 1
11 12
12 5
13 7
14 24
15 11
16
Nesne tespit ve takip metotları: Kapsamlı bir derleme
1
17 8
18 198
19 2
20 3

About Kazım Hanbay

Kazım Hanbay is a scholar working on Media Technology, Industrial and Manufacturing Engineering and Computer Vision and Pattern Recognition, having authored 33 papers that have together received 508 indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (11 papers), Image Processing Techniques and Applications (9 papers) and Medical Image Segmentation Techniques (7 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (262 citations), Media Technology (159 citations) and Computer Vision and Pattern Recognition (271 citations). Kazım Hanbay has collaborated with scholars based in Türkiye. Frequent co-authors include Muhammed Fatih Talu, Nuh Alpaslan, Davut Hanbay, Ali Karcı, Adnan Fatıh Kocamaz, Hüseyin Üzen, Muammer Türkoğlu and Murat Canayaz. Their work appears in journals such as IEEE Access, Neurocomputing and Applied Soft Computing.

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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