Salih Ergün

88 papers receiving 752 citations

Peers

Salih Ergün
Comparison fields: 5 of 63
  • Statistical and Nonlinear Physics 345
  • Computer Vision and Pattern Recognition 557
  • Computational Theory and Mathematics 319
  • Hardware and Architecture 94
  • Artificial Intelligence 157
Replace Hejiao Huang with:
Hejiao Huang China
Ali Pınar United States
Je Sen Teh Malaysia
Jordi Petit Spain
Thang Manh Hoang Vietnam
Linda Pagli Italy
L. Hagen United States
Etsuji Tomita Japan
Shmuel T. Klein Israel
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Citations per field
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Citations per year

Countries citing papers authored by Salih Ergün

Since Specialization
Citations

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

Fields of papers citing papers by Salih Ergün

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Salih Ergün, 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 Salih Ergün Line = papers co-authored together Salih Ergün links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200676
2 201566
3 200854
4 201145
5 200638
6 201035
7 201532
8 201129
9 201927
10 201826
11 201026
12 201924
13 201920
14 200720
15 200618
16 201816
17 202015
18 200812
19 202011
20 201111

About Salih Ergün

Salih Ergün is a scholar working on Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, Computational Theory and Mathematics, Artificial Intelligence and Electrical and Electronic Engineering, having authored 99 papers that have together received 827 indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (77 papers), Chaos control and synchronization (51 papers), Cellular Automata and Applications (47 papers), Neural Networks and Applications (10 papers), Fractal and DNA sequence analysis (7 papers), Cryptographic Implementations and Security (7 papers), Numerical Methods and Algorithms (6 papers) and Physical Unclonable Functions (PUFs) and Hardware Security (6 papers). The work is most often cited by research in Statistical and Nonlinear Physics (345 citations), Computer Vision and Pattern Recognition (557 citations), Computational Theory and Mathematics (319 citations), Hardware and Architecture (94 citations) and Artificial Intelligence (157 citations). Salih Ergün has collaborated with scholars based in Türkiye, United Kingdom and Estonia. Frequent co-authors include Serdar Özoğuz, Kaya Demir, Ülkühan Güler, Kunihiro Asada, Ahmed S. Elwakil, M. Kıvanç Mıhçak, Günhan Dündar, Metin Özkan, Celal Erbay and Ahmet Yazıcı. Their work appears in journals such as IEEE Transactions on Circuits & Systems II Express Briefs, Europhysics Letters (EPL), International Journal of Circuit Theory and Applications, IEEE Transactions on Circuits and Systems I Regular Papers and The Computer Journal.

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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