Kamer Kaya
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Artificial Intelligence top 5%
- Hardware and Architecture top 5%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Bora UçarÜmit V. ÇatalyürekCevdet AykanatÉrik SauleAli Aydın SelçukOnur KüçüktunçAhmet Erdem SarıyüceIain Duff
- Topics
- Cryptography and Data Security (13 papers)Advanced Graph Neural Networks (9 papers)Parallel Computing and Optimization Techniques (9 papers)
- Journals
- Expert Systems with ApplicationsInformation SciencesIEEE Transactions on Software Engineering
- Partner nations
- TürkiyeUnited StatesFrance
In The Last Decade
Kamer Kaya
55 papers receiving 544 citations
Peers
Comparison fields: 5 of 61
- Computer Networks and Communications 260
- Information Systems 215
- Artificial Intelligence 206
- Hardware and Architecture 120
- Computer Vision and Pattern Recognition 108
Countries citing papers authored by Kamer Kaya
This map shows the geographic impact of Kamer Kaya'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 Kamer Kaya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kamer Kaya more than expected).
Fields of papers citing papers by Kamer Kaya
This network shows the impact of papers produced by Kamer Kaya. 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 Kamer Kaya. The network helps show where Kamer Kaya may publish in the future.
Co-authorship network of co-authors of Kamer Kaya
This figure shows the co-authorship network connecting the top 25 collaborators of Kamer Kaya. A scholar is included among the top collaborators of Kamer Kaya based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kamer Kaya. Kamer Kaya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | Multilevel Threshold Secret Sharing based on the Chinese Remainder Theorem | 1 |
| 8 | 21 | |
| 9 | 9 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | Preconditioners based on strong subgraphs | 6 |
| 13 | Performance Evaluation of Sparse Matrix Multiplication Kernels on | 1 |
| 14 | Result Diversification in Automatic Citation Recommendation | 8 |
| 15 | 9 | |
| 16 | 7 | |
| 17 | 6 | |
| 18 | THRESHOLD CRYPTOGRAPHY WITH CHINESE REMAINDER THEOREM | 3 |
| 19 | 94 | |
| 20 | 1 |
About Kamer Kaya
Kamer Kaya is a scholar working on Hardware and Architecture, Software and Artificial Intelligence, having authored 64 papers that have together received 576 indexed citations. Recurring topics across this work include Cryptography and Data Security (13 papers), Advanced Graph Neural Networks (9 papers) and Parallel Computing and Optimization Techniques (9 papers). The work is most often cited by research in Hardware and Architecture (120 citations), Computer Networks and Communications (260 citations) and Information Systems (215 citations). Kamer Kaya has collaborated with scholars based in Türkiye, United States and France. Frequent co-authors include Bora Uçar, Ümit V. Çatalyürek, Cevdet Aykanat, Érik Saule, Ali Aydın Selçuk, Onur Küçüktunç, Ahmet Erdem Sarıyüce, Iain Duff, Mehmet Deveci and Cemal Yılmaz. Their work appears in journals such as Expert Systems with Applications, Information Sciences and IEEE Transactions on Software Engineering.
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.