Vijay H. Mankar
- Computer Vision and Pattern Recognition top 1%
- Media Technology top 2%
- Law top 2%
- Artificial Intelligence
- Biophysics top 5%
- Co-authors
- Mansi SubhedarGajanan K. BirajdarG. SuganyaSwanirbhar MajumderSubir Kumar SarkarGumpili Sai PrashanthiE. G. Rajan
- Topics
- Advanced Steganography and Watermarking Techniques (15 papers)Digital Media Forensic Detection (14 papers)Chaos-based Image/Signal Encryption (5 papers)
- Partner nations
- IndiaUnited StatesNepal
In The Last Decade
Vijay H. Mankar
24 papers receiving 722 citations
Hit Papers
Peers
Comparison fields: 5 of 48
- Computer Vision and Pattern Recognition 790
- Media Technology 202
- Law 77
- Artificial Intelligence 71
- Biophysics 57
Countries citing papers authored by Vijay H. Mankar
This map shows the geographic impact of Vijay H. Mankar'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 Vijay H. Mankar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vijay H. Mankar more than expected).
Fields of papers citing papers by Vijay H. Mankar
This network shows the impact of papers produced by Vijay H. Mankar. 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 Vijay H. Mankar. The network helps show where Vijay H. Mankar may publish in the future.
Co-authorship network of co-authors of Vijay H. Mankar
This figure shows the co-authorship network connecting the top 25 collaborators of Vijay H. Mankar. A scholar is included among the top collaborators of Vijay H. Mankar 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 Vijay H. Mankar. Vijay H. Mankar 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 | 26 | |
| 3 | 26 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 64 | |
| 10 | 4 | |
| 11 | Devanagari offline handwritten numeral and character recognition using multiple features and neural network classifier | 9 |
| 12 | 2 | |
| 13 | 9 | |
| 14 | 11 | |
| 15 | 233 | |
| 16 | 13 | |
| 17 | 3 | |
| 18 | Digital image forgery detection using passive techniques: A surveybreakdown → | 282 |
| 19 | 4 | |
| 20 | 44 |
About Vijay H. Mankar
Vijay H. Mankar is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Architecture, having authored 26 papers that have together received 814 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (15 papers), Digital Media Forensic Detection (14 papers) and Chaos-based Image/Signal Encryption (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (790 citations), Media Technology (202 citations) and Biophysics (57 citations). Vijay H. Mankar has collaborated with scholars based in India, United States and Nepal. Frequent co-authors include Mansi Subhedar, Gajanan K. Birajdar, G. Suganya, Swanirbhar Majumder, Subir Kumar Sarkar, Gumpili Sai Prashanthi and E. G. Rajan. Their work appears in journals such as Multimedia Tools and Applications, Computers & Electrical Engineering and Computer Science Review.
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.