Suneeta Agarwal

57 papers and 395 indexed citations i.

About

Suneeta Agarwal is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Suneeta Agarwal has authored 57 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computer Vision and Pattern Recognition, 19 papers in Artificial Intelligence and 11 papers in Signal Processing. Recurrent topics in Suneeta Agarwal’s work include Advanced Steganography and Watermarking Techniques (15 papers), Algorithms and Data Compression (15 papers) and Chaos-based Image/Signal Encryption (10 papers). Suneeta Agarwal is often cited by papers focused on Advanced Steganography and Watermarking Techniques (15 papers), Algorithms and Data Compression (15 papers) and Chaos-based Image/Signal Encryption (10 papers). Suneeta Agarwal collaborates with scholars based in India, Türkiye and Egypt. Suneeta Agarwal's co-authors include Shankar Bhausaheb Nikam, Shivendra Shivani, Priyanka Singh, Manish Gupta, Shruti Singh, Rajesh Prasad, Ashutosh Gupta, Durgesh Singh, Vinay Kumar Srivastava and Ranvijay Singh and has published in prestigious journals such as Neurocomputing, Computers & Mathematics with Applications and Pattern Recognition Letters.

In The Last Decade

Co-authorship network of co-authors of Suneeta Agarwal i

Fields of papers citing papers by Suneeta Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suneeta Agarwal. 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 Suneeta Agarwal. The network helps show where Suneeta Agarwal may publish in the future.

Countries citing papers authored by Suneeta Agarwal

Since Specialization
Citations

This map shows the geographic impact of Suneeta Agarwal'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 Suneeta Agarwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suneeta Agarwal more than expected).

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.

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