Sukriti Bhattacharya
- Information Systems top 10%
- Artificial Intelligence
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications
- Signal Processing top 10%
- Co-authors
- Agostino CortesiRahul DuttaHai HuangJun SunNabendu ChakiWei‐Tek TsaiDavid ClarkEarl T. Barr
- Topics
- Advanced Malware Detection Techniques (7 papers)Software Engineering Research (3 papers)Advanced Steganography and Watermarking Techniques (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsMultimedia Tools and Applications
- Partner nations
- IndiaLuxembourgItaly
In The Last Decade
Sukriti Bhattacharya
24 papers receiving 211 citations
Peers
Comparison fields: 5 of 58
- Information Systems 95
- Artificial Intelligence 81
- Computer Vision and Pattern Recognition 60
- Computer Networks and Communications 55
- Signal Processing 52
Countries citing papers authored by Sukriti Bhattacharya
This map shows the geographic impact of Sukriti Bhattacharya'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 Sukriti Bhattacharya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sukriti Bhattacharya more than expected).
Fields of papers citing papers by Sukriti Bhattacharya
This network shows the impact of papers produced by Sukriti Bhattacharya. 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 Sukriti Bhattacharya. The network helps show where Sukriti Bhattacharya may publish in the future.
Co-authorship network of co-authors of Sukriti Bhattacharya
This figure shows the co-authorship network connecting the top 25 collaborators of Sukriti Bhattacharya. A scholar is included among the top collaborators of Sukriti Bhattacharya 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 Sukriti Bhattacharya. Sukriti Bhattacharya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 43 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 2 | |
| 6 | 28 | |
| 7 | 4 | |
| 8 | 6 | |
| 9 | Database Authentication by Distortion-Free Watermarking | 7 |
| 10 | 7 | |
| 11 | A Framework for Property-driven Program Slicing | 2 |
| 12 | Property Driven Program Slicing | 1 |
| 13 | 7 | |
| 14 | 4 | |
| 15 | 1 | |
| 16 | 2 | |
| 17 | Design of integrated geographic information system: An algorithmic approach | 1 |
| 18 | 1 | |
| 19 | 1 | |
| 20 | 6 |
About Sukriti Bhattacharya
Sukriti Bhattacharya is a scholar working on Computational Mathematics, Software and Signal Processing, having authored 28 papers that have together received 245 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (7 papers), Software Engineering Research (3 papers) and Advanced Steganography and Watermarking Techniques (3 papers). The work is most often cited by research in Software (26 citations), Signal Processing (52 citations) and Information Systems (95 citations). Sukriti Bhattacharya has collaborated with scholars based in India, Luxembourg and Italy. Frequent co-authors include Agostino Cortesi, Rahul Dutta, Hai Huang, Jun Sun, Nabendu Chaki, Wei‐Tek Tsai, David Clark, Earl T. Barr, Héctor D. Menéndez and Ulrich Leopold. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications 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.