Devrim Akgün
- Signal Processing top 5%
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- Network Security and Intrusion Detection 5
- Artificial Intelligence top 10%
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- Advanced Image and Video Retrieval Techniques 8
- Visual Attention and Saliency Detection 6
- Image Enhancement Techniques 6
- Advanced Neural Network Applications 5
- Face recognition and analysis 4
- Advanced Image Processing Techniques 4
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- Image Processing Techniques and Applications 4
- Co-authors
- Ünal ÇavuşoğluZehra Karapınar Şentürkİbrahim YücedağPakize Erdoğmuşİlyas Çankayaİsmail ÖztelSezgin KaçarGözde Yolcu
- Journals
- Internet of Things (2 papers)Nonlinear Dynamics (2 papers)Multimedia Tools and Applications (1 paper)
- Partner nations
- TürkiyeUnited StatesNorth Korea
In The Last Decade
Devrim Akgün
39 papers receiving 256 citations
Peers
Comparison fields: 5 of 53
- Signal Processing 102
- Computer Networks and Communications 151
- Artificial Intelligence 135
- Computer Vision and Pattern Recognition 60
- Media Technology 17
Countries citing papers authored by Devrim Akgün
This map shows the geographic impact of Devrim Akgün'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 Devrim Akgün with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Devrim Akgün more than expected).
Fields of papers citing papers by Devrim Akgün
This network shows the impact of papers produced by Devrim Akgün. 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 Devrim Akgün. The network helps show where Devrim Akgün may publish in the future.
Co-authorship network
The 15 scholars most cited alongside Devrim Akgün, 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 | 4 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 9 | |
| 6 | 2024 | 5 | |
| 7 | 2024 | 32 | |
| 8 | 2024 | 2 | |
| 9 | 2024 | 1 | |
| 10 | 2022 | 5 | |
| 11 | 2022 | 100 | |
| 12 | 2021 | 1 | |
| 13 | 2021 | 1 | |
| 14 | 2020 | 2 | |
| 15 | 2018 | 1 | |
| 16 | An accelerated approach for facial expression analysis on video files | 2017 | 1 |
| 17 | 2017 | 3 | |
| 18 | 2016 | 1 | |
| 19 | Paralel Görüntü Filtreleme Için Çok Çekirdekli Bilgisayar Üzerinde Başarim Analizi | 2013 | 1 |
| 20 | 2003 | 0 |
About Devrim Akgün
Devrim Akgün is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Media Technology, Artificial Intelligence and Computer Networks and Communications, having authored 43 papers that have together received 271 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (8 papers), Visual Attention and Saliency Detection (6 papers), Image Enhancement Techniques (6 papers), Network Security and Intrusion Detection (5 papers), Advanced Neural Network Applications (5 papers), Face recognition and analysis (4 papers), Advanced Image Processing Techniques (4 papers) and Image Processing Techniques and Applications (4 papers). The work is most often cited by research in Signal Processing (102 citations), Computer Networks and Communications (151 citations), Artificial Intelligence (135 citations), Computer Vision and Pattern Recognition (60 citations) and Media Technology (17 citations). Devrim Akgün has collaborated with scholars based in Türkiye, United States and North Korea. Frequent co-authors include Ünal Çavuşoğlu, Zehra Karapınar Şentürk, İbrahim Yücedağ, Pakize Erdoğmuş, İlyas Çankaya, İsmail Öztel, Sezgin Kaçar, Gözde Yolcu, Bryon Adinoff and Mutlu Mete. Their work appears in journals such as Internet of Things, Nonlinear Dynamics, Multimedia Tools and Applications, Arabian Journal for Science and Engineering and IEEE Access.
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.