T. Acar
Impact in
- Information Systems top 2%
- Cryptography and Residue Arithmetic
- Artificial Intelligence top 5%
- Coding theory and cryptography
- Cryptography and Data Security
- Cryptographic Implementations and Security
- Security and Verification in Computing
Papers in
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- Coding theory and cryptography 2
-
- Cryptography and Residue Arithmetic 2
- Co-authors
- Çetin Kaya Koç (2 shared papers)Burton S. Kaliski (1 shared paper)Athina P. Petropulu (2 shared papers)Yu Yao (1 shared paper)Nalini Ratha (1 shared paper)Anil K. Jain (1 shared paper)Muhittin Gökmen (1 shared paper)Ahmet Selman Bozkır (1 shared paper)
- Journals
- IEEE Micro (1 paper)IEEE Transactions on Signal Processing (1 paper)Computer (1 paper)Istanbul Technical University Academic Open Archive (Istanbul Technical University) (1 paper)
- Partner nations
- United StatesTürkiye
In The Last Decade
T. Acar
7 papers receiving 329 citations
Peers
Comparison fields: 5 of 25
- Information Systems 291
- Artificial Intelligence 312
- Computational Mathematics 5
- Computer Vision and Pattern Recognition 47
- Hardware and Architecture 13
Countries citing papers authored by T. Acar
This map shows the geographic impact of T. Acar'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 T. Acar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Acar more than expected).
Fields of papers citing papers by T. Acar
This network shows the impact of papers produced by T. Acar. 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 T. Acar. The network helps show where T. Acar may publish in the future.
Co-authors
The 8 scholars most cited alongside T. Acar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 319 | |
| 2 | 2006 | 14 | |
| 3 | 2002 | 7 | |
| 4 | 2000 | 5 | |
| 5 | 2002 | 4 | |
| 6 | 2004 | 3 | |
| 7 | 2024 | 1 |
About T. Acar
T. Acar is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Computational Mathematics and Signal Processing, having authored 7 papers that have together received 353 indexed citations. Recurring topics across this work include Speech and Audio Processing (2 papers), Coding theory and cryptography (2 papers), Tensor decomposition and applications (2 papers), Cryptography and Residue Arithmetic (2 papers), Blind Source Separation Techniques (2 papers), Peer-to-Peer Network Technologies (1 paper), Access Control and Trust (1 paper) and Industrial Vision Systems and Defect Detection (1 paper). The work is most often cited by research in Information Systems (291 citations), Artificial Intelligence (312 citations), Computational Mathematics (5 citations), Computer Vision and Pattern Recognition (47 citations) and Hardware and Architecture (13 citations). T. Acar has collaborated with scholars based in United States and Türkiye. Frequent co-authors include Çetin Kaya Koç, Burton S. Kaliski, Athina P. Petropulu, Yu Yao, Nalini Ratha, Anil K. Jain, Muhittin Gökmen and Ahmet Selman Bozkır. Their work appears in journals such as IEEE Micro, IEEE Transactions on Signal Processing, Computer and Istanbul Technical University Academic Open Archive (Istanbul Technical University).
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.