Abdullah Çalışkan
- Artificial Intelligence top 10%
- Biomedical Engineering
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Biophysics top 5%
- Co-authors
- Hasan BademMehmet Emin YükselAlper BaştürkMustafa İncıMehmet KahramanMahmut Tokmakçıİbrahim Halil KılıçÖmer Aydın
- Topics
- Neural Networks and Applications (5 papers)EEG and Brain-Computer Interfaces (4 papers)Anomaly Detection Techniques and Applications (3 papers)
- Journals
- Scientific ReportsInternational Journal of Hydrogen EnergyIEEE Transactions on Fuzzy Systems
- Partner nations
- TürkiyeIrelandUnited States
In The Last Decade
Abdullah Çalışkan
27 papers receiving 573 citations
Peers
Comparison fields: 5 of 118
- Artificial Intelligence 163
- Biomedical Engineering 109
- Electrical and Electronic Engineering 96
- Computer Vision and Pattern Recognition 81
- Biophysics 64
Countries citing papers authored by Abdullah Çalışkan
This map shows the geographic impact of Abdullah Çalışkan'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 Abdullah Çalışkan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abdullah Çalışkan more than expected).
Fields of papers citing papers by Abdullah Çalışkan
This network shows the impact of papers produced by Abdullah Çalışkan. 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 Abdullah Çalışkan. The network helps show where Abdullah Çalışkan may publish in the future.
Co-authorship network of co-authors of Abdullah Çalışkan
This figure shows the co-authorship network connecting the top 25 collaborators of Abdullah Çalışkan. A scholar is included among the top collaborators of Abdullah Çalışkan 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 Abdullah Çalışkan. Abdullah Çalışkan 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 | 5 | |
| 5 | 99 | |
| 6 | 18 | |
| 7 | 62 | |
| 8 | 19 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 41 | |
| 13 | 2 | |
| 14 | 21 | |
| 15 | 8 | |
| 16 | 22 | |
| 17 | A comparative study on classification by deep learning | 1 |
| 18 | 11 | |
| 19 | Classification and diagnosis of the parkinson disease by stacked autoencoder | 13 |
| 20 | 22 |
About Abdullah Çalışkan
Abdullah Çalışkan is a scholar working on Human-Computer Interaction, Signal Processing and Biophysics, having authored 29 papers that have together received 609 indexed citations. Recurring topics across this work include Neural Networks and Applications (5 papers), EEG and Brain-Computer Interfaces (4 papers) and Anomaly Detection Techniques and Applications (3 papers). The work is most often cited by research in Biophysics (64 citations), Health Information Management (34 citations) and Artificial Intelligence (163 citations). Abdullah Çalışkan has collaborated with scholars based in Türkiye, Ireland and United States. Frequent co-authors include Hasan Badem, Mehmet Emin Yüksel, Alper Baştürk, Mustafa İncı, Mehmet Kahraman, Mahmut Tokmakçı, İbrahim Halil Kılıç, Ömer Aydın, Fatma Uysal Ciloglu and Musa Kamacı. Their work appears in journals such as Scientific Reports, International Journal of Hydrogen Energy and IEEE Transactions on Fuzzy Systems.
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.