Mehmet Ünal
- Artificial Intelligence top 2%
- Computer Networks and Communications top 5%
- Information Systems top 2%
- Computer Vision and Pattern Recognition top 5%
- Applied Mathematics top 2%
- Co-authors
- Arash HeidariNima Jafari NavimipourShiva ToumajHasan DağMahsa RezaeiZahra Mohtasham‐AmiriGuodao ZhangDevrim Çakmak
- Topics
- Nonlinear Differential Equations Analysis (9 papers)COVID-19 diagnosis using AI (7 papers)Advanced Technologies in Various Fields (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaACM Computing SurveysJournal of Alloys and Compounds
In The Last Decade
Mehmet Ünal
36 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Artificial Intelligence 509
- Computer Networks and Communications 386
- Information Systems 299
- Computer Vision and Pattern Recognition 211
- Applied Mathematics 211
Countries citing papers authored by Mehmet Ünal
This map shows the geographic impact of Mehmet Ünal'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 Mehmet Ünal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mehmet Ünal more than expected).
Fields of papers citing papers by Mehmet Ünal
This network shows the impact of papers produced by Mehmet Ünal. 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 Mehmet Ünal. The network helps show where Mehmet Ünal may publish in the future.
Co-authorship network of co-authors of Mehmet Ünal
This figure shows the co-authorship network connecting the top 25 collaborators of Mehmet Ünal. A scholar is included among the top collaborators of Mehmet Ünal 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 Mehmet Ünal. Mehmet Ünal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | A Novel Blockchain-Based Deepfake Detection Method Using Federated and Deep Learning Modelsbreakdown → | 67 |
| 2 | Opportunities and challenges of artificial intelligence and distributed systems to improve the quality of healthcare servicebreakdown → | 101 |
| 3 | 90 | |
| 4 | The applications of machine learning techniques in medical data processing based on distributed computing and the Internet of Thingsbreakdown → | 105 |
| 5 | Deepfake detection using deep learning methods: A systematic and comprehensive reviewbreakdown → | 112 |
| 6 | 14 | |
| 7 | 51 | |
| 8 | 3 | |
| 9 | A new lung cancer detection method based on the chest CT images using Federated Learning and blockchain systemsbreakdown → | 80 |
| 10 | 81 | |
| 11 | 27 | |
| 12 | 52 | |
| 13 | Machine Learning Applications in Internet-of-Drones: Systematic Review, Recent Deployments, and Open Issuesbreakdown → | 117 |
| 14 | 59 | |
| 15 | 9 | |
| 16 | Lyapunov-type Inequalities for Certain Nonlinear Systems on Time Scales | 22 |
| 17 | 31 | |
| 18 | 11 | |
| 19 | 53 | |
| 20 | 2 |
About Mehmet Ünal
Mehmet Ünal is a scholar working on Health Informatics, Applied Mathematics and Modeling and Simulation, having authored 36 papers that have together received 1.7k indexed citations. Recurring topics across this work include Nonlinear Differential Equations Analysis (9 papers), COVID-19 diagnosis using AI (7 papers) and Advanced Technologies in Various Fields (7 papers). The work is most often cited by research in Health Informatics (72 citations), Applied Mathematics (211 citations) and Computer Networks and Communications (386 citations). Mehmet Ünal has collaborated with scholars based in Türkiye, Iran and Taiwan. Frequent co-authors include Arash Heidari, Nima Jafari Navimipour, Shiva Toumaj, Hasan Dağ, Mahsa Rezaei, Zahra Mohtasham‐Amiri, Nima Jafari Navimipour, Guodao Zhang, Devrim Çakmak and Aydın Tı̇ryakı̇. Their work appears in journals such as SHILAP Revista de lepidopterología, ACM Computing Surveys and Journal of Alloys and Compounds.
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.