M.K. Mihcak
- Computer Vision and Pattern Recognition top 1%
- Signal Processing top 5%
- Computational Mechanics
- Artificial Intelligence
- Pulmonary and Respiratory Medicine
- Co-authors
- Vishal MongaPierre MoulinRamarathnam VenkatesanSüleyman S. KozatYasemin P. KahyaSergül AydöreDarko KirovskiÖzgür Harmancı
- Topics
- Advanced Steganography and Watermarking Techniques (15 papers)Chaos-based Image/Signal Encryption (14 papers)Digital Media Forensic Detection (9 papers)
- Journals
- IEEE Transactions on Information TheoryIEEE Transactions on Image ProcessingIEEE Transactions on Signal Processing
- Partner nations
- United StatesSwitzerlandTürkiye
In The Last Decade
M.K. Mihcak
19 papers receiving 705 citations
Peers
Comparison fields: 5 of 51
- Computer Vision and Pattern Recognition 677
- Signal Processing 130
- Computational Mechanics 51
- Artificial Intelligence 45
- Pulmonary and Respiratory Medicine 36
Countries citing papers authored by M.K. Mihcak
This map shows the geographic impact of M.K. Mihcak'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.K. Mihcak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.K. Mihcak more than expected).
Fields of papers citing papers by M.K. Mihcak
This network shows the impact of papers produced by M.K. Mihcak. 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.K. Mihcak. The network helps show where M.K. Mihcak may publish in the future.
Co-authorship network of co-authors of M.K. Mihcak
This figure shows the co-authorship network connecting the top 25 collaborators of M.K. Mihcak. A scholar is included among the top collaborators of M.K. Mihcak 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 M.K. Mihcak. M.K. Mihcak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 37 | |
| 2 | 3 | |
| 3 | 8 | |
| 4 | 216 | |
| 5 | 18 | |
| 6 | 2 | |
| 7 | 12 | |
| 8 | 199 | |
| 9 | 6 | |
| 10 | 6 | |
| 11 | 3 | |
| 12 | 8 | |
| 13 | 2 | |
| 14 | 27 | |
| 15 | 5 | |
| 16 | 109 | |
| 17 | 25 | |
| 18 | 0 | |
| 19 | 9 | |
| 20 | 63 |
About M.K. Mihcak
M.K. Mihcak is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Electrical and Electronic Engineering, having authored 20 papers that have together received 758 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (15 papers), Chaos-based Image/Signal Encryption (14 papers) and Digital Media Forensic Detection (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (677 citations), Signal Processing (130 citations) and Computational Mathematics (2 citations). M.K. Mihcak has collaborated with scholars based in United States, Switzerland and Türkiye. Frequent co-authors include Vishal Monga, Pierre Moulin, Ramarathnam Venkatesan, Süleyman S. Kozat, Yasemin P. Kahya, Sergül Aydöre, Darko Kirovski, Özgür Harmancı, Yinian Mao and Kannan Ramchandran. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Image Processing and IEEE Transactions on Signal Processing.
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.