Serpil Üstebay
Impact in
- Signal Processing top 10%
- Advanced Malware Detection Techniques
-
- Network Security and Intrusion Detection
Papers in
-
- Advanced Malware Detection Techniques 3
-
- Indoor and Outdoor Localization Technologies 3
- Co-authors
- Zeynep Turgut (4 shared papers)Muhammed Ali Aydın (5 shared papers)Mark Sujan (2 shared papers)Gülsüm Kübra Kaya (2 shared papers)Ahmet Sertbaş (3 shared papers)Colin Pilbeam (1 shared paper)Nurullah Çalık (1 shared paper)Jim Nixon (1 shared paper)
- Journals
- Pattern Recognition Letters (1 paper)Transactions on Emerging Telecommunications Technologies (1 paper)Safety Science (1 paper)Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi (1 paper)Internal and Emergency Medicine (1 paper)
- Partner nations
- TürkiyeUnited KingdomPoland
In The Last Decade
Serpil Üstebay
9 papers receiving 158 citations
Peers
Comparison fields: 5 of 59
- Signal Processing 60
- Computer Networks and Communications 96
- Artificial Intelligence 89
- Medical Laboratory Technology 3
- Radiological and Ultrasound Technology 8
Countries citing papers authored by Serpil Üstebay
This map shows the geographic impact of Serpil Üstebay'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 Serpil Üstebay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Serpil Üstebay more than expected).
Fields of papers citing papers by Serpil Üstebay
This network shows the impact of papers produced by Serpil Üstebay. 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 Serpil Üstebay. The network helps show where Serpil Üstebay may publish in the future.
Co-authors
The 10 scholars most cited alongside Serpil Üstebay, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 102 | |
| 2 | 2022 | 29 | |
| 3 | 2019 | 14 | |
| 4 | 2023 | 10 | |
| 5 | 2024 | 6 | |
| 6 | 2024 | 3 | |
| 7 | Customer Segmentation Based on Self-Organizing Maps: A Case Study on Airline Passengers | 2020 | 1 |
| 8 | 2023 | 1 | |
| 9 | Analysis of Device-Free and Device Dependent Signal Filtering Approaches for Indoor Localization Based on Earth's Magnetic Field System. | 2019 | 1 |
| 10 | 2025 | 0 | |
| 11 | 2017 | 0 |
About Serpil Üstebay
Serpil Üstebay is a scholar working on Signal Processing, Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 11 papers that have together received 167 indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (3 papers), Advanced Malware Detection Techniques (3 papers), Network Security and Intrusion Detection (3 papers), Sepsis Diagnosis and Treatment (1 paper), Hand Gesture Recognition Systems (1 paper), Patient Safety and Medication Errors (1 paper), Machine Learning and ELM (1 paper) and Inertial Sensor and Navigation (1 paper). The work is most often cited by research in Signal Processing (60 citations), Computer Networks and Communications (96 citations), Artificial Intelligence (89 citations), Medical Laboratory Technology (3 citations) and Radiological and Ultrasound Technology (8 citations). Serpil Üstebay has collaborated with scholars based in Türkiye, United Kingdom and Poland. Frequent co-authors include Zeynep Turgut, Muhammed Ali Aydın, Mark Sujan, Gülsüm Kübra Kaya, Ahmet Sertbaş, Colin Pilbeam, Nurullah Çalık, Jim Nixon, Piotr Gaj and Tülin Atmaca. Their work appears in journals such as Pattern Recognition Letters, Transactions on Emerging Telecommunications Technologies, Safety Science, Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi and Internal and Emergency Medicine.
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.