Ahmet Çınar
About
In The Last Decade
Ahmet Çınar
70 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Computer Vision and Pattern Recognition 552
- Artificial Intelligence 503
- Radiology, Nuclear Medicine and Imaging 432
- Neurology 375
- Plant Science 154
Countries citing papers authored by Ahmet Çınar
This map shows the geographic impact of Ahmet Çınar'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 Ahmet Çınar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ahmet Çınar more than expected).
Fields of papers citing papers by Ahmet Çınar
This network shows the impact of papers produced by Ahmet Çınar. 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 Ahmet Çınar. The network helps show where Ahmet Çınar may publish in the future.
Co-authorship network of co-authors of Ahmet Çınar
This figure shows the co-authorship network connecting the top 25 collaborators of Ahmet Çınar. A scholar is included among the top collaborators of Ahmet Çınar 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 Ahmet Çınar. Ahmet Çınar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 24 | |
| 8 | 1 | |
| 9 | Classification of Skin Cancer Images with Convolutional Neural Network Architectures | 1 |
| 10 | Classification of 40 Different Human Movements with CNN Architectures and Comparison of Their Performance | 1 |
| 11 | Poisonous Mushroom Detection using YOLOV5 | 14 |
| 12 | 100 | |
| 13 | Comparison of HOG (Histogram of Oriented Gradients) and Haar Cascade Algorithms with A Convolutional Neural Network Based Face Detection Approach | 2 |
| 14 | 15 | |
| 15 | Investigations on the Possibility to Obtain Mal Secco (Phoma tracheiphila Kanc. et Ghik.) Resistant Varieties Via Protoplast Fusion (Somatic Hybridization) in Lemon | 2 |
| 16 | Detection of a new medium for budwood culture in vitro of citrus | 6 |
| 17 | The detection of citrus exocortis viroid by polyacrylamide gel electrophoresis. | 0 |
| 18 | The allelopathic effect of Raphanus sativus L. | 2 |
| 19 | Resistance of some Citrus species and hybrids to mal secco (Phoma tracheiphila Kanc. et Ghik.) disease. | 4 |
| 20 | Resistance study of the citrus rootstocks to Phytophthora citrophthora (Smith & Smith) Leonian I. A research on the resistance of 14 different rootstocks to P. citrophthora (Smith & Smith) Leonian. | 0 |
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.