Shubhamoy Dey

14 papers and 115 indexed citations i.

About

Shubhamoy Dey is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Shubhamoy Dey has authored 14 papers receiving a total of 115 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Information Systems and 4 papers in Management Science and Operations Research. Recurrent topics in Shubhamoy Dey’s work include Spam and Phishing Detection (5 papers), Sentiment Analysis and Opinion Mining (5 papers) and Stock Market Forecasting Methods (4 papers). Shubhamoy Dey is often cited by papers focused on Spam and Phishing Detection (5 papers), Sentiment Analysis and Opinion Mining (5 papers) and Stock Market Forecasting Methods (4 papers). Shubhamoy Dey collaborates with scholars based in India and United States. Shubhamoy Dey's co-authors include Anuj Sharma, Shrawan Kumar Trivedi, K. Sivakumar, Vivek Kapoor, Kapil Kaushik, Abhishek Mishra and Anil Kumar and has published in prestigious journals such as IEEE Transactions on Engineering Management, Journal of service management and Knowledge and Information Systems.

In The Last Decade

Co-authorship network of co-authors of Shubhamoy Dey i

Fields of papers citing papers by Shubhamoy Dey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shubhamoy Dey

Since Specialization
Citations

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