Surekha Borra
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging
- Media Technology top 5%
- Signal Processing top 10%
- Co-authors
- Rohit M. ThankiNilanjan DeyKomal R. BorisagarVed Vyas DwivediR. Simon SherrattAmira S. AshourSudeep SarkarAshish M. Kothari
- Topics
- Advanced Steganography and Watermarking Techniques (30 papers)Chaos-based Image/Signal Encryption (20 papers)Digital Media Forensic Detection (20 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceBiomedical Signal Processing and ControlMultimedia Tools and Applications
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Surekha Borra
47 papers receiving 756 citations
Peers
Comparison fields: 5 of 95
- Computer Vision and Pattern Recognition 545
- Artificial Intelligence 150
- Radiology, Nuclear Medicine and Imaging 100
- Media Technology 92
- Signal Processing 50
Countries citing papers authored by Surekha Borra
This map shows the geographic impact of Surekha Borra'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 Surekha Borra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Surekha Borra more than expected).
Fields of papers citing papers by Surekha Borra
This network shows the impact of papers produced by Surekha Borra. 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 Surekha Borra. The network helps show where Surekha Borra may publish in the future.
Co-authorship network of co-authors of Surekha Borra
This figure shows the co-authorship network connecting the top 25 collaborators of Surekha Borra. A scholar is included among the top collaborators of Surekha Borra 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 Surekha Borra. Surekha Borra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 130 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 25 | |
| 8 | 5 | |
| 9 | 5 | |
| 10 | 8 | |
| 11 | 8 | |
| 12 | 26 | |
| 13 | 30 | |
| 14 | Identity-based Signcryption Groupkey Agreement Protocol Using Bilinear Pairing | 1 |
| 15 | 79 | |
| 16 | 6 | |
| 17 | Visual Secret Sharing Based Digital Image Watermarking | 8 |
| 18 | 19 | |
| 19 | 1 | |
| 20 | 37 |
About Surekha Borra
Surekha Borra is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Health Informatics, having authored 54 papers that have together received 816 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (30 papers), Chaos-based Image/Signal Encryption (20 papers) and Digital Media Forensic Detection (20 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (545 citations), Health Informatics (23 citations) and Media Technology (92 citations). Surekha Borra has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Rohit M. Thanki, Nilanjan Dey, Komal R. Borisagar, Ved Vyas Dwivedi, R. Simon Sherratt, Amira S. Ashour, Sudeep Sarkar, Ashish M. Kothari, Katta Ramalinga Reddy and Arvind Kumar. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Biomedical Signal Processing and Control and Multimedia Tools and Applications.
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.