Murat Taşkıran
- Human-Computer Interaction top 5%
- Signal Processing top 10%
- Biometric Identification and Security 6
- Time Series Analysis and Forecasting 4
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- Face recognition and analysis 6
- Video Surveillance and Tracking Methods 3
- Face and Expression Recognition 3
- Health Information Management top 10%
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- Advanced Memory and Neural Computing 3
- IoT-based Smart Home Systems 3
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- Neural Networks and Applications 3
- Co-authors
- Nihan KahramanÇiğdem Eroğlu ErdemZehra Gülru Çam TaşkıranTülay YıldırımBülent BölatCengiz ŞenFuat BilgiliHerman Sedef
- Journals
- Journal of Applied Biomedicine (1 paper)Scientific Reports (1 paper)Digital Signal Processing (1 paper)
- Partner nations
- TürkiyeAzerbaijanUnited States
In The Last Decade
Murat Taşkıran
33 papers receiving 469 citations
Peers
Comparison fields: 5 of 89
- Human-Computer Interaction 86
- Signal Processing 97
- Computer Vision and Pattern Recognition 183
- Health Information Management 21
- Developmental and Educational Psychology 54
Countries citing papers authored by Murat Taşkıran
This map shows the geographic impact of Murat Taşkıran'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 Murat Taşkıran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Murat Taşkıran more than expected).
Fields of papers citing papers by Murat Taşkıran
This network shows the impact of papers produced by Murat Taşkıran. 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 Murat Taşkıran. The network helps show where Murat Taşkıran may publish in the future.
Co-authorship network
The 12 scholars most cited alongside Murat Taşkıran, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 5 | |
| 8 | 2023 | 0 | |
| 9 | 2023 | 23 | |
| 10 | 2022 | 104 | |
| 11 | 2021 | 2 | |
| 12 | 2021 | 2 | |
| 13 | 2020 | 6 | |
| 14 | 2020 | 3 | |
| 15 | 2019 | 22 | |
| 16 | 2019 | 8 | |
| 17 | THE NOVEL METHOD FOR RECOGNITION OF AMERICAN SIGN LANGUAGE WITH RING PROJECTION AND DISCRETE WAVELET TRANSFORM | 2018 | 4 |
| 18 | 2018 | 4 | |
| 19 | 2018 | 1 | |
| 20 | 2018 | 75 |
About Murat Taşkıran
Murat Taşkıran is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Health Information Management, having authored 37 papers that have together received 503 indexed citations. Recurring topics across this work include Face recognition and analysis (6 papers), Biometric Identification and Security (6 papers), Time Series Analysis and Forecasting (4 papers), Advanced Memory and Neural Computing (3 papers), Video Surveillance and Tracking Methods (3 papers), Face and Expression Recognition (3 papers), IoT-based Smart Home Systems (3 papers) and Neural Networks and Applications (3 papers). The work is most often cited by research in Human-Computer Interaction (86 citations), Signal Processing (97 citations) and Computer Vision and Pattern Recognition (183 citations). Murat Taşkıran has collaborated with scholars based in Türkiye, Azerbaijan and United States. Frequent co-authors include Nihan Kahraman, Çiğdem Eroğlu Erdem, Zehra Gülru Çam Taşkıran, Tülay Yıldırım, Bülent Bölat, Cengiz Şen, Fuat Bilgili, Herman Sedef, Michael Floyd and Uǧur Doǧan. Their work appears in journals such as Journal of Applied Biomedicine, Scientific Reports, Digital Signal Processing, GPS Solutions and Engineering Applications of Artificial Intelligence.
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.