Devrim Akgün

537 citations
46 papers · 322 · h-index 8

Impact in

Papers in

Devrim Akgün

41 papers receiving 308 citations

Peers

Devrim Akgün
Comparison fields: 5 of 56
  • Signal Processing 118
  • Computer Networks and Communications 176
  • Artificial Intelligence 154
  • Computer Vision and Pattern Recognition 65
  • Media Technology 19
Replace Moumita Pramanik with:
Moumita Pramanik India
Moirangthem Marjit Singh India
Zuge Chen China
Lei Shen China
Peiwen Jiang China
Xiantao Jiang China
Mikołaj Jankowski United Kingdom
Donghua Wang China
Jianfeng Yang China
Kathiravetpillai Sivanesan Canada
Devrim Akgün relative to Moumita Pramanik India Moumita Pramanik's profile →
Citations per field
00.5×10×
Moumita Pramanik · 1×
Citations per year

Countries citing papers authored by Devrim Akgün

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 17 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.

Border = papers with Devrim Akgün Line = papers co-authored together Devrim Akgün links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022115
2 202445
3 202116
4 202413
5 202310
6 202210
7 20159
8 20158
9 20247
10 20226
11 20216
12 20156
13 20146
14 20196
15 20136
16 20175
17 20105
18 20254
19 20243
20 20243

About Devrim Akgün

Devrim Akgün is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Signal Processing and Radiology, Nuclear Medicine and Imaging, having authored 46 papers that have together received 322 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (8 papers), Visual Attention and Saliency Detection (6 papers), Advanced Neural Network Applications (6 papers), Image Enhancement Techniques (6 papers), Network Security and Intrusion Detection (5 papers), Image Processing Techniques and Applications (4 papers), Advanced Image Processing Techniques (4 papers) and Advanced Malware Detection Techniques (4 papers). The work is most often cited by research in Signal Processing (118 citations), Computer Networks and Communications (176 citations), Artificial Intelligence (154 citations), Computer Vision and Pattern Recognition (65 citations) and Media Technology (19 citations). Devrim Akgün has collaborated with scholars based in Türkiye, United States and Spain. Frequent co-authors include Ünal Çavuşoğlu, Zehra Karapınar Şentürk, Pakize Erdoğmuş, İbrahim Yücedağ, İlyas Çankaya, Sezgin Kaçar, Gözde Yolcu, İsmail Öztel, Mutlu Mete and Ünal Sakoğlu. Their work appears in journals such as Computerized Medical Imaging and Graphics, Internet of Things, Nonlinear Dynamics, Tehnicki vjesnik - Technical Gazette and The European Physical Journal Special Topics.

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.

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