Monica Borda
- Computer Vision and Pattern Recognition top 5%
- Molecular Biology
- Artificial Intelligence
- Computational Theory and Mathematics top 10%
- Computer Networks and Communications
- Co-authors
- Romulus TerebeşOlivier LaviallePierre BaylouChristian GermainI. PopSajad JafariJacques KengneK. Srinivasan
- Topics
- Image and Signal Denoising Methods (18 papers)Gene expression and cancer classification (9 papers)DNA and Biological Computing (8 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputational Theory and MathematicsMedia Technology
In The Last Decade
Monica Borda
56 papers receiving 376 citations
Peers
Comparison fields: 5 of 84
- Computer Vision and Pattern Recognition 173
- Molecular Biology 126
- Artificial Intelligence 85
- Computational Theory and Mathematics 77
- Computer Networks and Communications 54
Countries citing papers authored by Monica Borda
This map shows the geographic impact of Monica Borda'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 Monica Borda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Monica Borda more than expected).
Fields of papers citing papers by Monica Borda
This network shows the impact of papers produced by Monica Borda. 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 Monica Borda. The network helps show where Monica Borda may publish in the future.
Co-authorship network of co-authors of Monica Borda
This figure shows the co-authorship network connecting the top 25 collaborators of Monica Borda. A scholar is included among the top collaborators of Monica Borda 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 Monica Borda. Monica Borda 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 | 28 | |
| 4 | 0 | |
| 5 | Chaotic encryption scheme based on a fast permutation and diffusion structure. | 7 |
| 6 | 3 | |
| 7 | 11 | |
| 8 | Time series analysis using wavelets and GJR-GARCH models | 2 |
| 9 | 8 | |
| 10 | DNA Vernam cipher | 2 |
| 11 | FPGA based SoC for automated cDNA microarray image processing | 3 |
| 12 | 97 | |
| 13 | 0 | |
| 14 | 0 | |
| 15 | IMAGE ENHANCEMENT USING A NEW SHOCK FILTER FORMALISM | 4 |
| 16 | 4 | |
| 17 | 2 | |
| 18 | 3 | |
| 19 | 5 | |
| 20 | 12 |
About Monica Borda
Monica Borda is a scholar working on Computer Vision and Pattern Recognition, Biophysics and Media Technology, having authored 64 papers that have together received 409 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (18 papers), Gene expression and cancer classification (9 papers) and DNA and Biological Computing (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (173 citations), Computational Theory and Mathematics (77 citations) and Media Technology (34 citations). Monica Borda has collaborated with scholars based in Romania, France and Cameroon. Frequent co-authors include Romulus Terebeş, Olivier Lavialle, Pierre Baylou, Christian Germain, I. Pop, Sajad Jafari, Jacques Kengne, K. Srinivasan, Gervais Dolvis Leutcho and Zeric Tabekoueng Njitacke. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, BMC Bioinformatics and Knowledge-Based Systems.
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.