M.D. Yucel

416 citations
10 papers · 163 · h-index 4

Impact in

Papers in

M.D. Yucel

8 papers receiving 148 citations

Peers

M.D. Yucel
Comparison fields: 5 of 19
  • Artificial Intelligence 152
  • Discrete Mathematics and Combinatorics 10
  • Electrical and Electronic Engineering 100
  • Computational Theory and Mathematics 22
  • Computer Vision and Pattern Recognition 24
Replace Constanza Riera with:
Constanza Riera Norway
Natalia Tokareva Russia
Deepak Kumar Dalai India
Xian-Mo Zhang Australia
Marion Videau France
Pascal Véron France
Ignacio Cascudo Netherlands
Pierre Loidreau France
Carl Bracken Ireland
Valérie Gauthier–Umaña Colombia
M.D. Yucel relative to Constanza Riera Norway Constanza Riera's profile →
Citations per field
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Constanza Riera · 1×
Citations per year

Countries citing papers authored by M.D. Yucel

Since Specialization
Citations

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

Fields of papers citing papers by M.D. Yucel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.D. Yucel. 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 M.D. Yucel. The network helps show where M.D. Yucel may publish in the future.

Co-authors

The 3 scholars most cited alongside M.D. Yucel, 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 M.D. Yucel Line = papers co-authored together M.D. Yucel links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 200794
2 201046
3
Avalanche and Bit Independence Properties for the Ensembles of Randomly Chosen n \times n S-Boxes
200114
4 19923
5
Performance Evaluation of Safer K-64 and S-Boxes of the Safer Family
20012
6 19992
7 19931
8 19831
9 20040
10 20020

About M.D. Yucel

M.D. Yucel is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition and Pathology and Forensic Medicine, having authored 10 papers that have together received 163 indexed citations. Recurring topics across this work include Coding theory and cryptography (8 papers), graph theory and CDMA systems (4 papers), Advanced Wireless Communication Techniques (3 papers), Chaos-based Image/Signal Encryption (2 papers), Cryptographic Implementations and Security (2 papers), Cooperative Communication and Network Coding (1 paper), Error Correcting Code Techniques (1 paper) and Quantum Computing Algorithms and Architecture (1 paper). The work is most often cited by research in Artificial Intelligence (152 citations), Discrete Mathematics and Combinatorics (10 citations), Electrical and Electronic Engineering (100 citations), Computational Theory and Mathematics (22 citations) and Computer Vision and Pattern Recognition (24 citations). M.D. Yucel has collaborated with scholars based in Türkiye, India and Cyprus. Frequent co-authors include Subhamoy Maitra, Berna Sayrac and B. Baykal. Their work appears in journals such as IEEE Transactions on Communications, Electronics Letters, Information and Computation, IEEE Transactions on Information Theory and IEEE Transactions on Computers.

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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