Shreyank N Gowda
- Computer Vision and Pattern Recognition
- Artificial Intelligence
- Computer Networks and Communications
- Electrical and Electronic Engineering
- Signal Processing
- Co-authors
- Timothy M. HospedalesLaura Sevilla-LaraXiao GuZhi LiuBoyan GaoXiaobo JinGuanggang GengZ. Li
- Topics
- Advanced Steganography and Watermarking Techniques (5 papers)Chaos-based Image/Signal Encryption (5 papers)graph theory and CDMA systems (2 papers)
- Journals
- Applied Soft ComputingePrints@IISc (Indian Institute of Science)International Journal of Computer Science and Information Technology
- Partner nations
- IndiaUnited KingdomChina
In The Last Decade
Shreyank N Gowda
10 papers receiving 60 citations
Peers
Comparison fields: 5 of 24
- Computer Vision and Pattern Recognition 55
- Artificial Intelligence 34
- Computer Networks and Communications 6
- Electrical and Electronic Engineering 6
- Signal Processing 5
Countries citing papers authored by Shreyank N Gowda
This map shows the geographic impact of Shreyank N Gowda'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 Shreyank N Gowda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shreyank N Gowda more than expected).
Fields of papers citing papers by Shreyank N Gowda
This network shows the impact of papers produced by Shreyank N Gowda. 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 Shreyank N Gowda. The network helps show where Shreyank N Gowda may publish in the future.
Co-authorship network of co-authors of Shreyank N Gowda
This figure shows the co-authorship network connecting the top 25 collaborators of Shreyank N Gowda. A scholar is included among the top collaborators of Shreyank N Gowda 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 Shreyank N Gowda. Shreyank N Gowda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 12 | |
| 4 | 2 | |
| 5 | 24 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 3 | |
| 9 | 2 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 0 | |
| 13 | 18 | |
| 14 | 4 |
About Shreyank N Gowda
Shreyank N Gowda is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence, having authored 14 papers that have together received 72 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (5 papers), Chaos-based Image/Signal Encryption (5 papers) and graph theory and CDMA systems (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (55 citations), Artificial Intelligence (34 citations) and Human-Computer Interaction (3 citations). Shreyank N Gowda has collaborated with scholars based in India, United Kingdom and China. Frequent co-authors include Timothy M. Hospedales, Laura Sevilla-Lara, Xiao Gu, Zhi Liu, Boyan Gao, Xiaobo Jin, Guanggang Geng and Z. Li. Their work appears in journals such as Applied Soft Computing, ePrints@IISc (Indian Institute of Science) and International Journal of Computer Science and Information 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.