Shubhamoy Dey

710 total citations
39 papers, 489 citations indexed

About

Shubhamoy Dey is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Shubhamoy Dey has authored 39 papers receiving a total of 489 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 20 papers in Information Systems and 6 papers in Computer Networks and Communications. Recurrent topics in Shubhamoy Dey's work include Text and Document Classification Technologies (15 papers), Spam and Phishing Detection (14 papers) and Sentiment Analysis and Opinion Mining (11 papers). Shubhamoy Dey is often cited by papers focused on Text and Document Classification Technologies (15 papers), Spam and Phishing Detection (14 papers) and Sentiment Analysis and Opinion Mining (11 papers). Shubhamoy Dey collaborates with scholars based in India and United States. Shubhamoy Dey's co-authors include Anuj Sharma, Shrawan Kumar Trivedi, Khadija Ali Vakeel, K. Sivakumar, Vivek Kapoor, Abhishek Mishra, Kapil Kaushik, Anil Kumar, Kamal Jain and Rajhans Mishra 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

Shubhamoy Dey

38 papers receiving 455 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shubhamoy Dey India 14 328 190 75 68 54 39 489
Juan Bernabé-Moreno Spain 12 226 0.7× 222 1.2× 66 0.9× 40 0.6× 69 1.3× 31 469
Ahmad Baraani-Dastjerdi Iran 13 256 0.8× 168 0.9× 75 1.0× 89 1.3× 68 1.3× 52 544
Erich Teppan Austria 11 157 0.5× 167 0.9× 53 0.7× 61 0.9× 58 1.1× 33 383
Albert Weichselbraun Austria 14 471 1.4× 192 1.0× 111 1.5× 31 0.5× 60 1.1× 67 700
Olegas Vasilecas Lithuania 10 191 0.6× 302 1.6× 64 0.9× 87 1.3× 94 1.7× 91 557
Florent Garcin Switzerland 11 150 0.5× 230 1.2× 95 1.3× 41 0.6× 95 1.8× 14 402
Jeonghee Yi United States 9 771 2.4× 332 1.7× 126 1.7× 71 1.0× 59 1.1× 12 1.0k
Juhnyoung Lee United States 12 127 0.4× 229 1.2× 45 0.6× 96 1.4× 30 0.6× 39 399
Huayu Li China 11 156 0.5× 288 1.5× 41 0.5× 71 1.0× 46 0.9× 43 477
Manolis G. Vozalis Greece 6 291 0.9× 281 1.5× 92 1.2× 32 0.5× 58 1.1× 8 506

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).

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.

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

20 of 20 papers shown
1.
Trivedi, Shrawan Kumar, et al.. (2022). Prediction of Intention to Use Social Media in Online Blended Learning Using Two Step Hybrid Feature Selection and Improved SVM Stacked Model. IEEE Transactions on Engineering Management. 71. 13501–13516. 5 indexed citations
2.
Kapoor, Vivek & Shubhamoy Dey. (2021). Genetic Algorithms and Applications for Stock Trading Optimization. Advances in computational intelligence and robotics book series. 2 indexed citations
3.
Kaushik, Kapil, Abhishek Mishra, & Shubhamoy Dey. (2020). ‘The tweeting sponsor’: effect of a sponsor’s SNS message articulation/interactivity on consumers’ online response. European Sport Management Quarterly. 22(2). 227–250. 5 indexed citations
4.
Trivedi, Shrawan Kumar, Shubhamoy Dey, & Anil Kumar. (2018). Capturing user sentiments for online Indian movie reviews. The Electronic Library. 36(4). 677–695. 5 indexed citations
5.
Dey, Shubhamoy, et al.. (2018). Analysis of Competitor Intelligence in the Era of Big Data: An Integrated System Using Text Summarization Based on Global Optimization. Business & Information Systems Engineering. 61(3). 345–355. 7 indexed citations
6.
Vakeel, Khadija Ali, et al.. (2018). Service failures after online flash sales: role of deal proneness, attribution, and emotion. Journal of service management. 29(2). 253–276. 42 indexed citations
7.
Trivedi, Shrawan Kumar & Shubhamoy Dey. (2018). Analysing user sentiment of Indian movie reviews. The Electronic Library. 36(4). 590–606. 4 indexed citations
8.
Trivedi, Shrawan Kumar & Shubhamoy Dey. (2018). A modified content-based evolutionary approach to identify unsolicited emails. Knowledge and Information Systems. 60(3). 1427–1451. 5 indexed citations
9.
Kaushik, Kapil & Shubhamoy Dey. (2016). Impact of Event Reputation on the Sponsor's Sentiment. 18–21. 1 indexed citations
10.
Trivedi, Shrawan Kumar & Shubhamoy Dey. (2016). A novel committee selection mechanism for combining classifiers to detect unsolicited emails. VINE Journal of Information and Knowledge Management Systems. 46(4). 524–548. 6 indexed citations
11.
12.
Dey, Shubhamoy, et al.. (2015). Loss in tacit knowledge because of employees attrition. 5(1/2). 1–1. 2 indexed citations
13.
Dey, Shubhamoy, et al.. (2014). Multi-document Text Summarization for Competitor Intelligence: A Methodology. 97–100. 4 indexed citations
14.
Dey, Shubhamoy, et al.. (2014). Business Intelligence for Public Sector Banks in India: A Case study-Design, Development and Deployment. 5(2). 37–58. 3 indexed citations
15.
Trivedi, Shrawan Kumar & Shubhamoy Dey. (2013). An Enhanced Genetic Programming Approach for Detecting Unsolicited Emails. 10. 1153–1160. 18 indexed citations
16.
Trivedi, Shrawan Kumar & Shubhamoy Dey. (2013). Interplay between Probabilistic Classifiers and Boosting Algorithms for Detecting Complex Unsolicited Emails. 132–136. 24 indexed citations
17.
Sharma, Anuj & Shubhamoy Dey. (2012). Performance Investigation of Feature Selection Methods and Sentiment Lexicons for Sentiment Analysis. 15–20. 47 indexed citations
18.
Dey, Shubhamoy, et al.. (2012). An Intelligent Decision Making Architecture for Banks: Business Intelligence And Knowledge Management Systems Integration. 2 indexed citations
19.
Dey, Shubhamoy. (2011). A multi-classifier system for text categorization. 325–329. 1 indexed citations
20.
Dey, Shubhamoy, et al.. (2011). Decision Support for E-Governance: A Text Mining Approach. 3(3). 73–91. 14 indexed citations

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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