Sujoy Bag

624 total citations · 1 hit paper
9 papers, 436 citations indexed

About

Sujoy Bag is a scholar working on Information Systems, Computer Vision and Pattern Recognition and Marketing. According to data from OpenAlex, Sujoy Bag has authored 9 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Information Systems, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Marketing. Recurrent topics in Sujoy Bag's work include Recommender Systems and Techniques (4 papers), Consumer Retail Behavior Studies (3 papers) and Technology Adoption and User Behaviour (2 papers). Sujoy Bag is often cited by papers focused on Recommender Systems and Techniques (4 papers), Consumer Retail Behavior Studies (3 papers) and Technology Adoption and User Behaviour (2 papers). Sujoy Bag collaborates with scholars based in India, United Kingdom and United States. Sujoy Bag's co-authors include Manoj Kumar Tiwari, Sri Krishna Kumar, Felix T.S. Chan, Abhijeet Ghadge, Anjali Awasthi, Mohit Goswami, Subhas Barman, Mamata Jenamani, Samiran Chattopadhyay and Debasis Samanta and has published in prestigious journals such as Journal of Business Research, Information Sciences and Decision Support Systems.

In The Last Decade

Sujoy Bag

9 papers receiving 413 citations

Hit Papers

An efficient recommendation generation using relevant Jac... 2019 2026 2021 2023 2019 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. An efficient recommendation generation using relevant Jaccard similarity
    2019 232 citations Sujoy Bag, Sri Krishna Kumar et al. Information Sciences profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sujoy Bag India 7 211 173 88 79 60 9 436
Bharat Bhasker India 10 240 1.1× 191 1.1× 58 0.7× 87 1.1× 53 0.9× 40 464
Maryam Khanian Najafabadi Malaysia 7 298 1.4× 164 0.9× 64 0.7× 70 0.9× 49 0.8× 23 507
Chin‐Hui Lai Taiwan 14 315 1.5× 153 0.9× 83 0.9× 74 0.9× 37 0.6× 26 503
Yoon‐Joo Park South Korea 9 313 1.5× 263 1.5× 70 0.8× 70 0.9× 154 2.6× 22 554
Il Young Choi South Korea 7 391 1.9× 182 1.1× 135 1.5× 155 2.0× 55 0.9× 27 602
Laura Sebastiá Spain 11 292 1.4× 196 1.1× 81 0.9× 171 2.2× 46 0.8× 36 566
Chihli Hung Taiwan 11 197 0.9× 450 2.6× 129 1.5× 94 1.2× 69 1.1× 39 720
Fernando Mourão Brazil 12 256 1.2× 274 1.6× 62 0.7× 60 0.8× 46 0.8× 50 508
Erich Teppan Austria 11 167 0.8× 157 0.9× 40 0.5× 53 0.7× 58 1.0× 33 383
Donghee Yoo South Korea 8 201 1.0× 128 0.7× 47 0.5× 66 0.8× 37 0.6× 33 349

Countries citing papers authored by Sujoy Bag

Since Specialization
Citations

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

Fields of papers citing papers by Sujoy Bag

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sujoy Bag

This figure shows the co-authorship network connecting the top 25 collaborators of Sujoy Bag. A scholar is included among the top collaborators of Sujoy Bag 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 Sujoy Bag. Sujoy Bag is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Jha, Rajesh Kumar, et al.. (2023). An appropriate and cost-effective hospital recommender system for a patient of rural area using deep reinforcement learning. Intelligent Systems with Applications. 18. 200218–200218. 3 indexed citations
2.
Ghadge, Abhijeet, Sujoy Bag, Mohit Goswami, & Manoj Kumar Tiwari. (2020). Mitigating demand risk of durable goods in online retailing. International Journal of Retail & Distribution Management. 49(2). 165–186. 14 indexed citations
3.
Ghadge, Abhijeet, Sujoy Bag, Mohit Goswami, & Manoj Kumar Tiwari. (2020). Mitigating Demand Risk of Durable Goods in Online Retailing. SSRN Electronic Journal. 1 indexed citations
4.
Bag, Sujoy, et al.. (2019). A noise correction-based approach to support a recommender system in a highly sparse rating environment. Decision Support Systems. 118. 46–57. 44 indexed citations
5.
Bag, Sujoy, Sri Krishna Kumar, & Manoj Kumar Tiwari. (2019). An efficient recommendation generation using relevant Jaccard similarity. Information Sciences. 483. 53–64. 232 indexed citations breakdown →
6.
Bag, Sujoy, Abhijeet Ghadge, & Manoj Kumar Tiwari. (2019). An integrated recommender system for improved accuracy and aggregate diversity. Computers & Industrial Engineering. 130. 187–197. 40 indexed citations
7.
Bag, Sujoy, Manoj Kumar Tiwari, & Felix T.S. Chan. (2017). Predicting the consumer's purchase intention of durable goods: An attribute-level analysis. Journal of Business Research. 94. 408–419. 73 indexed citations
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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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