Serdar Çiçek

670 citations
32 papers · 563 · h-index 14

Impact in

Papers in

Serdar Çiçek

30 papers receiving 549 citations

Peers

Serdar Çiçek
Comparison fields: 5 of 42
  • Statistical and Nonlinear Physics 473
  • Computer Networks and Communications 251
  • Computer Vision and Pattern Recognition 203
  • Modeling and Simulation 17
  • Artificial Intelligence 76
Replace Sundarapandian Vaidyanathan with:
Sundarapandian Vaidyanathan India
Justin Roger Mboupda Pone Cameroon
Victor H. Carbajal-Gomez Mexico
Shaohui Yan China
José-Cruz Nuñez-Pérez Mexico
Karim Kemih Algeria
C. Posadas–Castillo Mexico
Léandre Kamdjeu Kengne Cameroon
Ashokkumar Srinivasan Ethiopia
G. Mykolaitis Lithuania
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Citations per field
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Sundarapandian Vaidyanathan · 1×
Citations per year

Countries citing papers authored by Serdar Çiçek

Since Specialization
Citations

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

Fields of papers citing papers by Serdar Çiçek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201677
2 201754
3 202145
4 201742
5 201837
6 201334
7 201834
8 202023
9 202022
10 202118
11 202117
12 201916
13 201916
14 202414
15 201813
16 201812
17 202011
18 202010
19 202210
20 20209

About Serdar Çiçek

Serdar Çiçek is a scholar working on Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition, Computer Networks and Communications, Molecular Biology and Artificial Intelligence, having authored 32 papers that have together received 563 indexed citations. Recurring topics across this work include Chaos control and synchronization (27 papers), Chaos-based Image/Signal Encryption (15 papers), Nonlinear Dynamics and Pattern Formation (12 papers), Quantum chaos and dynamical systems (7 papers), Cellular Automata and Applications (5 papers), Fractal and DNA sequence analysis (5 papers), stochastic dynamics and bifurcation (5 papers) and Neural Networks and Reservoir Computing (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (473 citations), Computer Networks and Communications (251 citations), Computer Vision and Pattern Recognition (203 citations), Modeling and Simulation (17 citations) and Artificial Intelligence (76 citations). Serdar Çiçek has collaborated with scholars based in Türkiye, Vietnam and Ethiopia. Frequent co-authors include Yılmaz Uyaroğlu, İhsan Pehli̇van, Uǧur Erkin Kocamaz, Karthikeyan Rajagopal, Anitha Karthikeyan, Akif Akgül, Sajad Jafari, Sifeu Takougang Kingni, Chunbiao Li and Viet–Thanh Pham. Their work appears in journals such as Complexity, International Journal of Bifurcation and Chaos, Optik, Tehnicki vjesnik - Technical Gazette and Discrete and Continuous Dynamical Systems - B.

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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