Serkan Savaş
- Artificial Intelligence top 10%
- Neurology top 10%
- Computer Vision and Pattern Recognition
- Radiology, Nuclear Medicine and Imaging
- Information Systems
- Co-authors
- Selim BuyrukoğluPınar Nercis KoşarB. A. KakulasF.L. MastagliaFrancis MastagliaŞener KarabulutD. Embleton
- Topics
- Cerebrovascular and Carotid Artery Diseases (5 papers)COVID-19 diagnosis using AI (4 papers)Brain Tumor Detection and Classification (4 papers)
- Partner nations
- TürkiyeAustraliaUnited Kingdom
In The Last Decade
Serkan Savaş
30 papers receiving 348 citations
Peers
Comparison fields: 5 of 103
- Artificial Intelligence 108
- Neurology 77
- Computer Vision and Pattern Recognition 58
- Radiology, Nuclear Medicine and Imaging 56
- Information Systems 35
Countries citing papers authored by Serkan Savaş
This map shows the geographic impact of Serkan Savaş'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 Serkan Savaş with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Serkan Savaş more than expected).
Fields of papers citing papers by Serkan Savaş
This network shows the impact of papers produced by Serkan Savaş. 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 Serkan Savaş. The network helps show where Serkan Savaş may publish in the future.
Co-authorship network of co-authors of Serkan Savaş
This figure shows the co-authorship network connecting the top 25 collaborators of Serkan Savaş. A scholar is included among the top collaborators of Serkan Savaş 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 Serkan Savaş. Serkan Savaş 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 | 0 | |
| 3 | 10 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 6 | |
| 7 | 17 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 30 | |
| 11 | 15 | |
| 12 | 4 | |
| 13 | 37 | |
| 14 | Artificial Intelligence And Innovative Applications In Education: The Case Of Turkey | 12 |
| 15 | Eğitimde Dijital Oyunlar ve Oyun ile Öğrenme | 5 |
| 16 | 12 | |
| 17 | 41 | |
| 18 | 2 | |
| 19 | VERİ MADENCİLİĞİ YÖNTEMİ İLE GSM ŞEBEKELERİNİN PERFORMANS ANALİZİ | 2 |
| 20 | ANALYSIS OF MOBILE COMMUNICATION SIGNALS WITH FREQUENCY ANALYSIS METHOD | 5 |
About Serkan Savaş
Serkan Savaş is a scholar working on Neurology, Health Information Management and Radiology, Nuclear Medicine and Imaging, having authored 37 papers that have together received 372 indexed citations. Recurring topics across this work include Cerebrovascular and Carotid Artery Diseases (5 papers), COVID-19 diagnosis using AI (4 papers) and Brain Tumor Detection and Classification (4 papers). The work is most often cited by research in Neurology (77 citations), Health Information Management (32 citations) and Health Informatics (7 citations). Serkan Savaş has collaborated with scholars based in Türkiye, Australia and United Kingdom. Frequent co-authors include Selim Buyrukoğlu, Pınar Nercis Koşar, B. A. Kakulas, F.L. Mastaglia, Francis Mastaglia, Şener Karabulut and D. Embleton. Their work appears in journals such as Journal of Neurology Neurosurgery & Psychiatry, Heliyon and Journal of Medical 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.