Kemal Özkan

722 citations
62 papers · 528 · h-index 12

Impact in

Papers in

    • Image Retrieval and Classification Techniques 7
    • Image and Signal Denoising Methods 7
    • Medical Image Segmentation Techniques 5
    • Advanced Image Processing Techniques 5
    • Advanced Image and Video Retrieval Techniques 5
    • Smart Agriculture and AI 10

Kemal Özkan

53 papers receiving 515 citations

Peers

Kemal Özkan
Comparison fields: 5 of 91
  • Analytical Chemistry 101
  • Computer Vision and Pattern Recognition 146
  • Industrial and Manufacturing Engineering 54
  • Industrial and Manufacturing Engineering 43
  • Media Technology 35
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Minas Dasygenis Greece
Şahin Işık Türkiye
Vinh Truong Hoang Vietnam
Bayram Çetişli Türkiye
Anis Salwa Mohd Khairuddin Malaysia
Yanmei Meng China
Krzysztof Siwek Poland
Feng Hu China
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Citations per field
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Citations per year

Countries citing papers authored by Kemal Özkan

Since Specialization
Citations

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

Fields of papers citing papers by Kemal Özkan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Kemal Özkan, 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 Kemal Özkan Line = papers co-authored together Kemal Özkan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201678
2 201466
3 202252
4 201850
5 202233
6 202231
7 201923
8 202315
9 201914
10 202214
11 201512
12 201811
13 202210
14 20209
15 20158
16 20138
17 20198
18 20158
19 20227
20 20177

About Kemal Özkan

Kemal Özkan is a scholar working on Computer Vision and Pattern Recognition, Plant Science, Analytical Chemistry, Media Technology and Control and Systems Engineering, having authored 62 papers that have together received 528 indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (11 papers), Smart Agriculture and AI (10 papers), Image Retrieval and Classification Techniques (7 papers), Image and Signal Denoising Methods (7 papers), Advanced Image Fusion Techniques (5 papers), Medical Image Segmentation Techniques (5 papers), Advanced Image Processing Techniques (5 papers) and Advanced Image and Video Retrieval Techniques (5 papers). The work is most often cited by research in Analytical Chemistry (101 citations), Computer Vision and Pattern Recognition (146 citations), Industrial and Manufacturing Engineering (54 citations), Industrial and Manufacturing Engineering (43 citations) and Media Technology (35 citations). Kemal Özkan has collaborated with scholars based in Türkiye, United States and Germany. Frequent co-authors include Şahin Işık, Ahmet Yazıcı, E. Mine Çinar, Semih Ergi̇n, Ömer Nezih Gerek, Serkan Günal, Müfide Banar, Aysun Özkan, Zerrin Günkaya and Cüneyt Akınlar. Their work appears in journals such as Waste Management, Expert Systems with Applications, Computers and Electronics in Agriculture, Journal of Mathematical Imaging and Vision and Sensors.

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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