Koray Açıcı

788 citations
36 papers · 438 indexed · h-index 11
Topics
Radiomics and Machine Learning in Medical Imaging (4 papers)Mycorrhizal Fungi and Plant Interactions (4 papers)Plant Pathogens and Fungal Diseases (4 papers)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsIEEE Access
Partner nations
TürkiyeFinlandNorway

In The Last Decade

Koray Açıcı

30 papers receiving 423 citations

Peers

Koray Açıcı
Comparison fields: 5 of 124
  • Biomedical Engineering 118
  • Computer Vision and Pattern Recognition 104
  • Artificial Intelligence 81
  • Neurology 45
  • Radiology, Nuclear Medicine and Imaging 42
Replace Tunç Aşuroğlu with:
Tunç Aşuroğlu Türkiye
Phillip Chlap Australia
Jim Graham United Kingdom
Rafał Obuchowicz Poland
H.P. Ng Singapore
Zhaonan Sun China
Lei Ma China
Zhennan Yan United States
Nandhini Santhanam Germany
Simone Balocco Spain
Koray Açıcı relative to Tunç Aşuroğlu Türkiye Tunç Aşuroğlu's profile →
Citations per field
00.5×10×14×
Tunç Aşuroğlu · 1×
Citations per year

Countries citing papers authored by Koray Açıcı

Since Specialization
Citations

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

Fields of papers citing papers by Koray Açıcı

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koray Açıcı

This figure shows the co-authorship network connecting the top 25 collaborators of Koray Açıcı. A scholar is included among the top collaborators of Koray Açıcı 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 Koray Açıcı. Koray Açıcı 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 0
3 6
4 0
5 1
6 10
7 2
8 54
9 8
10 12
11 18
12 7
13 25
14 4
15 30
16 7
17 16
18 63
19 68
20 4

About Koray Açıcı

Koray Açıcı is a scholar working on Health Informatics, Medical Laboratory Technology and Radiation, having authored 36 papers that have together received 438 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (4 papers), Mycorrhizal Fungi and Plant Interactions (4 papers) and Plant Pathogens and Fungal Diseases (4 papers). The work is most often cited by research in Health Informatics (18 citations), Oral Surgery (41 citations) and Computer Vision and Pattern Recognition (104 citations). Koray Açıcı has collaborated with scholars based in Türkiye, Finland and Norway. Frequent co-authors include Tunç Aşuroğlu, Mehmet Serdar Güzel, Hasan Oğul, Çağatay Berke Erdaş, Erkan Bostancı, Hamit Erdem, M. Kılınç Toprak, Emre Sümer, Engin Koçak and İlgaz Akata. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

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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