Akif Akgül

4.0k citations
134 papers · 3.4k indexed · h-index 33

Akif Akgül

133 papers receiving 3.3k citations

Peers

Akif Akgül
Comparison fields: 5 of 94
  • Statistical and Nonlinear Physics 2.6k
  • Computer Networks and Communications 1.3k
  • Computer Vision and Pattern Recognition 1.2k
  • Modeling and Simulation 232
  • Mathematical Physics 181
Replace Zhouchao Wei with:
Zhouchao Wei China
Viet–Thanh Pham Vietnam
Kehui Sun China
Giuseppe Grassi Italy
Guoyuan Qi China
Viet–Thanh Pham Vietnam
Kehui Sun China
Qiang Lai China
Tetsushi Ueta Japan
Jesús M. Muñoz‐Pacheco Mexico
Akif Akgül relative to Zhouchao Wei China Zhouchao Wei's profile →
Citations per field
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Citations per year

Countries citing papers authored by Akif Akgül

Since Specialization
Citations

This map shows the geographic impact of Akif Akgül'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 Akif Akgül with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akif Akgül more than expected).

Fields of papers citing papers by Akif Akgül

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Akif Akgül. 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 Akif Akgül. The network helps show where Akif Akgül may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Akif Akgül, 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 Akif Akgül Line = papers co-authored together Akif Akgül links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20254
2 202412
3 202411
4 202414
5 20225
6 20203
7 20199
8 201922
9
Design of an Interface for Random Number Generators based on Integer and Fractional Order Chaotic Systems
201931
10 2018101
11 20185
12 201814
13 2018115
14 20186
15 201826
16 201817
17 201724
18 201715
19 2017148
20
An image cryptology application using three-dimensional autonomous continuous chaotic equations
20163

About Akif Akgül

Akif Akgül is a scholar working on Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 134 papers that have together received 3.4k indexed citations. Recurring topics across this work include Chaos control and synchronization (91 papers), Chaos-based Image/Signal Encryption (65 papers), Nonlinear Dynamics and Pattern Formation (35 papers), Quantum chaos and dynamical systems (29 papers), Cellular Automata and Applications (14 papers), stochastic dynamics and bifurcation (14 papers), Advanced Memory and Neural Computing (11 papers) and Mathematical Dynamics and Fractals (11 papers). The work is most often cited by research in Statistical and Nonlinear Physics (2.6k citations), Computer Networks and Communications (1.3k citations) and Computer Vision and Pattern Recognition (1.2k citations). Akif Akgül has collaborated with scholars based in Türkiye, China and Vietnam. Frequent co-authors include Sajad Jafari, İhsan Pehli̇van, Karthikeyan Rajagopal, Chunbiao Li, Ünal Çavuşoğlu, Sezgin Kaçar, Viet–Thanh Pham, Irene M. Moroz, J. C. Sprott and Sundarapandian Vaıdyanathan. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Chaos Solitons & Fractals.

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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