Deepjyoti Roy

598 total citations · 1 hit paper
12 papers, 256 citations indexed

About

Deepjyoti Roy is a scholar working on Information Systems, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Deepjyoti Roy has authored 12 papers receiving a total of 256 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Information Systems, 5 papers in Artificial Intelligence and 2 papers in Molecular Biology. Recurrent topics in Deepjyoti Roy's work include Sentiment Analysis and Opinion Mining (4 papers), Recommender Systems and Techniques (4 papers) and Artificial Intelligence in Healthcare (2 papers). Deepjyoti Roy is often cited by papers focused on Sentiment Analysis and Opinion Mining (4 papers), Recommender Systems and Techniques (4 papers) and Artificial Intelligence in Healthcare (2 papers). Deepjyoti Roy collaborates with scholars based in India, Saudi Arabia and Zimbabwe. Deepjyoti Roy's co-authors include Mala Dutta, Bal Veer Singh, D. R. K. Saikanth, Sadika Akhter, Ankur Saxena, Dipa Islam, Poonam Sharma, Rajesh Kumar Singh, Gaurav Dubey and D. Kumar and has published in prestigious journals such as Advances in Engineering Software, Journal Of Big Data and Social Network Analysis and Mining.

In The Last Decade

Deepjyoti Roy

11 papers receiving 241 citations

Hit Papers

A systematic review and research perspective on recommend... 2022 2026 2023 2024 2022 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deepjyoti Roy India 4 124 97 41 34 27 12 256
Mala Dutta India 5 135 1.1× 98 1.0× 44 1.1× 34 1.0× 43 1.6× 18 280
Bogdan Walek Czechia 6 181 1.5× 118 1.2× 53 1.3× 37 1.1× 28 1.0× 33 267
Mahsa Ebrahimian Canada 5 148 1.2× 114 1.2× 26 0.6× 33 1.0× 40 1.5× 7 248
Dina Nawara Canada 8 186 1.5× 143 1.5× 42 1.0× 40 1.2× 66 2.4× 13 331
Wael Etaiwi Jordan 11 137 1.1× 237 2.4× 28 0.7× 28 0.8× 37 1.4× 32 383
Zhaoman Zhong China 9 81 0.7× 132 1.4× 48 1.2× 38 1.1× 18 0.7× 27 271
Nasseh Tabrizi United States 9 111 0.9× 98 1.0× 41 1.0× 29 0.9× 62 2.3× 37 250
Hengliang Luo China 11 215 1.7× 148 1.5× 44 1.1× 28 0.8× 24 0.9× 22 300
A. Kannammal India 9 82 0.7× 67 0.7× 82 2.0× 30 0.9× 57 2.1× 44 278
Ali Yürekli Türkiye 3 232 1.9× 178 1.8× 85 2.1× 34 1.0× 41 1.5× 6 346

Countries citing papers authored by Deepjyoti Roy

Since Specialization
Citations

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

Fields of papers citing papers by Deepjyoti Roy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepjyoti Roy

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

All Works

12 of 12 papers shown
2.
Roy, Deepjyoti, et al.. (2023). Addressing Challenges and Opportunities: A Critical Assessment of RFID Adoption in Agriculture. International Journal of Environment and Climate Change. 13(10). 4098–4104. 1 indexed citations
3.
Saikanth, D. R. K., et al.. (2023). Exploring the Nutritional Landscape: A Review of Fodder Options for Livestock. International Journal of Environment and Climate Change. 13(10). 2481–2493. 2 indexed citations
5.
Roy, Deepjyoti & Mala Dutta. (2023). A survey on personalized health recommender systems for diverse healthcare applications. 1–9. 2 indexed citations
6.
Saxena, Ankur, et al.. (2023). THE INDISPENSABLE ROLE OF ANIMAL SCIENCE IN DRUG DISCOVERY : A COMPREHENSIVE REVIEW. JOURNAL OF EXPERIMENTAL ZOOLOGY INDIA. 27(1). 1 indexed citations
7.
Roy, Deepjyoti & Mala Dutta. (2022). A systematic review and research perspective on recommender systems. Journal Of Big Data. 9(1). 221 indexed citations breakdown →
8.
Roy, Deepjyoti, et al.. (2022). Tracing the Pig and Cattle Origin in Processed Food and Feed Products Targeting Mitochondrial 12S rRNA Gene. Journal of Food Quality and Hazards Control. 2 indexed citations
9.
Roy, Deepjyoti & Mala Dutta. (2022). Optimal hierarchical attention network-based sentiment analysis for movie recommendation. Social Network Analysis and Mining. 12(1). 7 indexed citations
10.
Roy, Deepjyoti, et al.. (2022). A metaheuristic-enabled training system for ensemble classification technique for heart disease prediction. Advances in Engineering Software. 174. 103297–103297. 8 indexed citations
11.
Roy, Deepjyoti & Mala Dutta. (2022). An Improved Cat Swarm Search-Based Deep Ensemble Learning Model for Group Recommender Systems. Journal of Information & Knowledge Management. 21(3). 8 indexed citations
12.
Roy, Deepjyoti, et al.. (2020). Socio-economic Traits Influencing the Income of Farm Women Earning Livelihood through Livestock Enterprises in Goalpara District of Assam. International Journal of Current Microbiology and Applied Sciences. 9(8). 1690–1694. 1 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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