Sinan Toklu
Impact in
- Signal Processing top 10%
- Advanced Malware Detection Techniques
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- Network Security and Intrusion Detection
Papers in
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- Energy Efficient Wireless Sensor Networks 4
- Network Security and Intrusion Detection 3
- Security in Wireless Sensor Networks 3
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- Topic Modeling 3
- Co-authors
- Nesibe Yalçın (2 shared papers)Necaattin Barışçı (2 shared papers)İbrahim Alper Doğru (3 shared papers)Sultan Zavrak (3 shared papers)Murat Dener (1 shared paper)M. Ali Akçayol (2 shared papers)Oktay Yıldız (1 shared paper)Ömer Faruk Bay (1 shared paper)
- Journals
- IEEE Access (3 papers)Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi (2 papers)Arabian Journal for Science and Engineering (2 papers)PeerJ Computer Science (1 paper)Neural Computing and Applications (1 paper)
- Partner nations
- Türkiye
In The Last Decade
Sinan Toklu
21 papers receiving 256 citations
Peers
Comparison fields: 5 of 51
- Signal Processing 59
- Computer Networks and Communications 104
- Artificial Intelligence 117
- Building and Construction 40
- Media Technology 25
Countries citing papers authored by Sinan Toklu
This map shows the geographic impact of Sinan Toklu'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 Sinan Toklu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sinan Toklu more than expected).
Fields of papers citing papers by Sinan Toklu
This network shows the impact of papers produced by Sinan Toklu. 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 Sinan Toklu. The network helps show where Sinan Toklu may publish in the future.
Co-authors
The 8 scholars most cited alongside Sinan Toklu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 73 | |
| 2 | 2020 | 66 | |
| 3 | 2021 | 38 | |
| 4 | 2018 | 26 | |
| 5 | 2013 | 11 | |
| 6 | 2021 | 9 | |
| 7 | 2021 | 9 | |
| 8 | 2022 | 6 | |
| 9 | 2024 | 6 | |
| 10 | 2022 | 3 | |
| 11 | 2023 | 3 | |
| 12 | An Augmented Reality Application for Computer Engineering Curriculum | 2017 | 2 |
| 13 | 2024 | 2 | |
| 14 | 2018 | 2 | |
| 15 | 2018 | 2 | |
| 16 | ZAMANA BAĞLI DİNAMİK EN KISA YOL PROBLEMİ İÇİN GENETİK ALGORİTMA TABANLI YENİ BİR ALGORİTMA | 2013 | 1 |
| 17 | 2012 | 1 | |
| 18 | 2020 | 1 | |
| 19 | 2020 | 1 | |
| 20 | 2017 | 1 |
About Sinan Toklu
Sinan Toklu is a scholar working on Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering, Signal Processing and Computer Vision and Pattern Recognition, having authored 24 papers that have together received 264 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (4 papers), IoT-based Smart Home Systems (4 papers), Advanced Malware Detection Techniques (4 papers), Smart Parking Systems Research (3 papers), Vehicle License Plate Recognition (3 papers), Network Security and Intrusion Detection (3 papers), Topic Modeling (3 papers) and Security in Wireless Sensor Networks (3 papers). The work is most often cited by research in Signal Processing (59 citations), Computer Networks and Communications (104 citations), Artificial Intelligence (117 citations), Building and Construction (40 citations) and Media Technology (25 citations). Sinan Toklu has collaborated with scholars based in Türkiye. Frequent co-authors include Nesibe Yalçın, Necaattin Barışçı, İbrahim Alper Doğru, Sultan Zavrak, Murat Dener, M. Ali Akçayol, Oktay Yıldız and Ömer Faruk Bay. Their work appears in journals such as IEEE Access, Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi, Arabian Journal for Science and Engineering, PeerJ Computer Science and Neural Computing and Applications.
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.