Ayça Çeşmelioğlu

413 citations
17 papers · 233 · h-index 10

Impact in

Papers in

Ayça Çeşmelioğlu

17 papers receiving 224 citations

Peers

Ayça Çeşmelioğlu
Comparison fields: 5 of 22
  • Discrete Mathematics and Combinatorics 30
  • Artificial Intelligence 216
  • Pathology and Forensic Medicine 72
  • Electrical and Electronic Engineering 141
  • Algebra and Number Theory 9
Replace Olav Geil with:
Olav Geil Denmark
Philippe Langevin France
Natalia Tokareva Russia
Patrick Felke Germany
Lilya Budaghyan Norway
Yin Tan Singapore
Alexander Kholosha Norway
Carlos Munuera Spain
Jong Yoon Hyun South Korea
Gui-Liang Feng United States
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Citations per field
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Citations per year

Countries citing papers authored by Ayça Çeşmelioğlu

Since Specialization
Citations

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

Fields of papers citing papers by Ayça Çeşmelioğlu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 5 scholars most cited alongside Ayça Çeşmelioğlu, 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 Ayça Çeşmelioğlu Line = papers co-authored together Ayça Çeşmelioğlu links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 201238
2 201329
3 201128
4 201323
5 200721
6 201816
7 200915
8 201213
9 201812
10 20159
11 20219
12 20137
13 20206
14 20233
15
Recent advances in the theory of nonlinear pseudorandom number generators
20022
16 20241
17 20251

About Ayça Çeşmelioğlu

Ayça Çeşmelioğlu is a scholar working on Artificial Intelligence, Pathology and Forensic Medicine, Electrical and Electronic Engineering, Oncology and Computational Theory and Mathematics, having authored 17 papers that have together received 233 indexed citations. Recurring topics across this work include Coding theory and cryptography (17 papers), graph theory and CDMA systems (7 papers), Cancer Mechanisms and Therapy (7 papers), Peptidase Inhibition and Analysis (5 papers), Cryptographic Implementations and Security (4 papers), Advanced Wireless Communication Techniques (2 papers), semigroups and automata theory (2 papers) and Algebraic structures and combinatorial models (1 paper). The work is most often cited by research in Discrete Mathematics and Combinatorics (30 citations), Artificial Intelligence (216 citations), Pathology and Forensic Medicine (72 citations), Electrical and Electronic Engineering (141 citations) and Algebra and Number Theory (9 citations). Ayça Çeşmelioğlu has collaborated with scholars based in Türkiye, Germany and Austria. Frequent co-authors include Wilfried Meidl, Alexander Pott, Alev Topuzoğlu, Gary McGuire and Gottlieb Pirsic. Their work appears in journals such as Finite Fields and Their Applications, Advances in Mathematics of Communications, IEEE Transactions on Information Theory, Designs Codes and Cryptography and Cryptography and Communications.

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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