Mercan Topkara
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 5%
- Information Systems top 5%
- Signal Processing
- Computer Networks and Communications
- Co-authors
- Mikhail J. AtallahUmut TopkaraCuneyt M. TaskiranEdward J. DelpKeith B. FrikkenGiuseppe RiccardiDilek Hakkani‐TürShimei Pan
- Topics
- Advanced Steganography and Watermarking Techniques (6 papers)Natural Language Processing Techniques (6 papers)Internet Traffic Analysis and Secure E-voting (5 papers)
- Journals
- ACM Transactions on Interactive Intelligent SystemsInternational Journal of Multimedia Information RetrievalRare & Special e-Zone (The Hong Kong University of Science and Technology)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Mercan Topkara
22 papers receiving 450 citations
Peers
Comparison fields: 5 of 39
- Computer Vision and Pattern Recognition 349
- Artificial Intelligence 301
- Information Systems 144
- Signal Processing 33
- Computer Networks and Communications 24
Countries citing papers authored by Mercan Topkara
This map shows the geographic impact of Mercan Topkara'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 Mercan Topkara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mercan Topkara more than expected).
Fields of papers citing papers by Mercan Topkara
This network shows the impact of papers produced by Mercan Topkara. 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 Mercan Topkara. The network helps show where Mercan Topkara may publish in the future.
Co-authorship network of co-authors of Mercan Topkara
This figure shows the co-authorship network connecting the top 25 collaborators of Mercan Topkara. A scholar is included among the top collaborators of Mercan Topkara 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 Mercan Topkara. Mercan Topkara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 6 | |
| 3 | 6 | |
| 4 | 0 | |
| 5 | 7 | |
| 6 | 1 | |
| 7 | 11 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | Passwords for everyone: secure mnemonic-based accessible authentication | 2 |
| 12 | 59 | |
| 13 | 12 | |
| 14 | New designs for improving the efficiency and resilience of natural language watermarking | 2 |
| 15 | 113 | |
| 16 | 71 | |
| 17 | 44 | |
| 18 | 44 | |
| 19 | 8 | |
| 20 | 87 |
About Mercan Topkara
Mercan Topkara is a scholar working on Human-Computer Interaction, Information Systems and Management and Computer Science Applications, having authored 24 papers that have together received 513 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (6 papers), Natural Language Processing Techniques (6 papers) and Internet Traffic Analysis and Secure E-voting (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (349 citations), Artificial Intelligence (301 citations) and Information Systems (144 citations). Mercan Topkara has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Mikhail J. Atallah, Umut Topkara, Cuneyt M. Taskiran, Edward J. Delp, Keith B. Frikken, Giuseppe Riccardi, Dilek Hakkani‐Tür, Shimei Pan, Jie Lü and Yi Yang. Their work appears in journals such as ACM Transactions on Interactive Intelligent Systems, International Journal of Multimedia Information Retrieval and Rare & Special e-Zone (The Hong Kong University of Science and Technology).
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.