Shubhamoy Dey
- Artificial Intelligence top 5%
- Information Systems top 5%
- Sociology and Political Science
- Computer Networks and Communications top 10%
- Management Science and Operations Research top 10%
- Co-authors
- Anuj SharmaShrawan Kumar TrivediKhadija Ali VakeelK. SivakumarVivek KapoorKapil KaushikAnil KumarAbhishek Mishra
- Topics
- Text and Document Classification Technologies (15 papers)Spam and Phishing Detection (14 papers)Sentiment Analysis and Opinion Mining (11 papers)
- Journals
- IEEE Transactions on Engineering ManagementJournal of service managementKnowledge and Information Systems
- Partner nations
- IndiaUnited States
In The Last Decade
Shubhamoy Dey
38 papers receiving 455 citations
Peers
Comparison fields: 5 of 78
- Artificial Intelligence 328
- Information Systems 190
- Sociology and Political Science 75
- Computer Networks and Communications 68
- Management Science and Operations Research 54
Countries citing papers authored by Shubhamoy Dey
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).
Fields of papers citing papers by Shubhamoy Dey
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.
Co-authorship network of co-authors of Shubhamoy Dey
This figure shows the co-authorship network connecting the top 25 collaborators of Shubhamoy Dey. A scholar is included among the top collaborators of Shubhamoy Dey 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 Shubhamoy Dey. Shubhamoy Dey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 2 | |
| 3 | 5 | |
| 4 | 5 | |
| 5 | 7 | |
| 6 | 4 | |
| 7 | 42 | |
| 8 | 6 | |
| 9 | 1 | |
| 10 | 15 | |
| 11 | 4 | |
| 12 | 1 | |
| 13 | 4 | |
| 14 | 9 | |
| 15 | 18 | |
| 16 | An Intelligent Decision Making Architecture for Banks: Business Intelligence And Knowledge Management Systems Integration | 2 |
| 17 | 18 | |
| 18 | 1 | |
| 19 | 14 | |
| 20 | 3 |
About Shubhamoy Dey
Shubhamoy Dey is a scholar working on Information Systems, Artificial Intelligence and Information Systems and Management, having authored 39 papers that have together received 489 indexed citations. Recurring topics across this work include Text and Document Classification Technologies (15 papers), Spam and Phishing Detection (14 papers) and Sentiment Analysis and Opinion Mining (11 papers). The work is most often cited by research in Artificial Intelligence (328 citations), Information Systems (190 citations) and Marketing (45 citations). Shubhamoy Dey has collaborated with scholars based in India and United States. Frequent co-authors include Anuj Sharma, Shrawan Kumar Trivedi, Khadija Ali Vakeel, K. Sivakumar, Vivek Kapoor, Kapil Kaushik, Anil Kumar, Abhishek Mishra, Kamal Jain and Rajhans Mishra. Their work appears in journals such as IEEE Transactions on Engineering Management, Journal of service management and Knowledge and Information Systems.
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.