Mahmut Kaya
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 5%
- Signal Processing top 10%
- Media Technology top 5%
- Radiology, Nuclear Medicine and Imaging
- Topics
- Anomaly Detection Techniques and Applications (4 papers)Gene expression and cancer classification (2 papers)Machine Learning in Bioinformatics (2 papers)
- Partner nations
- TürkiyeChinaSaudi Arabia
In The Last Decade
Mahmut Kaya
21 papers receiving 636 citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Computer Vision and Pattern Recognition 270
- Artificial Intelligence 259
- Signal Processing 64
- Media Technology 59
- Radiology, Nuclear Medicine and Imaging 54
Countries citing papers authored by Mahmut Kaya
This map shows the geographic impact of Mahmut Kaya'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 Mahmut Kaya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mahmut Kaya more than expected).
Fields of papers citing papers by Mahmut Kaya
This network shows the impact of papers produced by Mahmut Kaya. 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 Mahmut Kaya. The network helps show where Mahmut Kaya may publish in the future.
Co-authorship network of co-authors of Mahmut Kaya
This figure shows the co-authorship network connecting the top 25 collaborators of Mahmut Kaya. A scholar is included among the top collaborators of Mahmut Kaya 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 Mahmut Kaya. Mahmut Kaya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 4 | |
| 10 | 23 | |
| 11 | 4 | |
| 12 | 21 | |
| 13 | Trends in Outbreak Detection in Early Stage by Using Machine Learning Approaches | 4 |
| 14 | Deep Metric Learning: A Surveybreakdown → | 436 |
| 15 | 141 | |
| 16 | 3 | |
| 17 | 3 | |
| 18 | 1 | |
| 19 | 6 | |
| 20 | 1 |
About Mahmut Kaya
Mahmut Kaya is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 21 papers that have together received 667 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (4 papers), Gene expression and cancer classification (2 papers) and Machine Learning in Bioinformatics (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (270 citations), Artificial Intelligence (259 citations) and Media Technology (59 citations). Mahmut Kaya has collaborated with scholars based in Türkiye, China and Saudi Arabia. Frequent co-authors include Hasan Şakir Bılge, Yılmaz Kaya, Anıl Utku, Bekir Sami Yilbaş, Ömer Keleş, Abdul Qader and Oktay Yıldız. Their work appears in journals such as Applied Sciences, Measurement Science and Technology and Neural Computing and Applications.
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.