Hakan Seyalioglu

649 citations
3 papers · 55 · h-index 3

Impact in

    • Complexity and Algorithms in Graphs
    • Matrix Theory and Algorithms
    • Cryptography and Data Security
    • Cryptographic Implementations and Security
    • Privacy-Preserving Technologies in Data
    • Coding theory and cryptography
    • Internet Traffic Analysis and Secure E-voting

Papers in

Hakan Seyalioglu

3 papers receiving 51 citations

Peers

Hakan Seyalioglu
Comparison fields: 5 of 22
  • Computational Theory and Mathematics 23
  • Artificial Intelligence 36
  • Numerical Analysis 3
  • Occupational Therapy 2
  • Information Systems 9
Replace Nicky Williams with:
Nicky Williams France
Axel Legay France
Martin R. Neuhäußer Germany
Pascal Fontaine France
Karl M. Göschka Austria
Russell O’Connor Netherlands
Nicholas Spooner United States
Jacob M. Howe United Kingdom
Romain Demangeon France
Anja Becker Switzerland
Hakan Seyalioglu relative to Nicky Williams France Nicky Williams's profile →
Citations per field
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Citations per year

Countries citing papers authored by Hakan Seyalioglu

Since Specialization
Citations

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

Fields of papers citing papers by Hakan Seyalioglu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside Hakan Seyalioglu, 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 Hakan Seyalioglu Line = papers co-authored together Hakan Seyalioglu links everyone, so they are left out of the graph.

All Works

3 of 3 papers shown
#Work
1 201037
2 200911
3 20217

About Hakan Seyalioglu

Hakan Seyalioglu is a scholar working on Computational Theory and Mathematics, Occupational Therapy, Rehabilitation, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 3 papers that have together received 55 indexed citations. Recurring topics across this work include Advanced Topics in Algebra (1 paper), Complexity and Algorithms in Graphs (1 paper), Stroke Rehabilitation and Recovery (1 paper), Cryptography and Data Security (1 paper), Assistive Technology in Communication and Mobility (1 paper), Matrix Theory and Algorithms (1 paper), Neurobiology of Language and Bilingualism (1 paper) and graph theory and CDMA systems (1 paper). The work is most often cited by research in Computational Theory and Mathematics (23 citations), Artificial Intelligence (36 citations), Numerical Analysis (3 citations), Occupational Therapy (2 citations) and Information Systems (9 citations). Hakan Seyalioglu has collaborated with scholars based in United States. Frequent co-authors include Amit Sahai, Ilya M. Spitkovsky, Leiba Rodman, Tim Hutchings, Jessica Hammer and William S. Evans. Their work appears in journals such as Linear Algebra and its Applications and Proceedings of the ACM on Human-Computer Interaction.

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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