Shampa Chakraverty

34 papers and 213 indexed citations i.

About

Shampa Chakraverty is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shampa Chakraverty has authored 34 papers receiving a total of 213 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 11 papers in Information Systems and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shampa Chakraverty’s work include Sentiment Analysis and Opinion Mining (7 papers), Advanced Text Analysis Techniques (7 papers) and Advanced Steganography and Watermarking Techniques (5 papers). Shampa Chakraverty is often cited by papers focused on Sentiment Analysis and Opinion Mining (7 papers), Advanced Text Analysis Techniques (7 papers) and Advanced Steganography and Watermarking Techniques (5 papers). Shampa Chakraverty collaborates with scholars based in India and Nigeria. Shampa Chakraverty's co-authors include Pinaki Chakraborty, Om Prakash Verma, Sanjay Misra, Ritu Sibal, Devendra K. Tayal, Anil Kumar, Upasna Sharma, Aditya Aggarwal, Jasleen Kaur and Vandana Bhattacherjee and has published in prestigious journals such as ACM Computing Surveys, Measurement and The Computer Journal.

In The Last Decade

Co-authorship network of co-authors of Shampa Chakraverty i

Fields of papers citing papers by Shampa Chakraverty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shampa Chakraverty

Since Specialization
Citations

This map shows the geographic impact of Shampa Chakraverty'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 Shampa Chakraverty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shampa Chakraverty 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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2025