Pradeep Kumar Roy

2.0k total citations · 1 hit paper
53 papers, 1.3k citations indexed

About

Pradeep Kumar Roy is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Pradeep Kumar Roy has authored 53 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 23 papers in Information Systems and 16 papers in Computer Networks and Communications. Recurrent topics in Pradeep Kumar Roy's work include Spam and Phishing Detection (11 papers), Hate Speech and Cyberbullying Detection (10 papers) and Topic Modeling (9 papers). Pradeep Kumar Roy is often cited by papers focused on Spam and Phishing Detection (11 papers), Hate Speech and Cyberbullying Detection (10 papers) and Topic Modeling (9 papers). Pradeep Kumar Roy collaborates with scholars based in India, United Kingdom and Taiwan. Pradeep Kumar Roy's co-authors include Jyoti Prakash Singh, Sunil Saumya, Nripendra P. Rana, Yogesh K. Dwivedi, Snehasish Banerjee, Asis Kumar Tripathy, Tapan Kumar Das, Xiao‐Zhi Gao, Abhinav Kumar and C. N. Subalalitha and has published in prestigious journals such as Journal of Business Research, IEEE Access and International Journal of Information Management.

In The Last Decade

Pradeep Kumar Roy

52 papers receiving 1.2k citations

Hit Papers

Predicting the “helpfulness” of online consumer reviews 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pradeep Kumar Roy India 17 797 454 372 201 139 53 1.3k
Amos Azaria Israel 17 548 0.7× 370 0.8× 262 0.7× 160 0.8× 113 0.8× 76 1.2k
Gianluca Demartini Australia 23 1.3k 1.6× 591 1.3× 395 1.1× 116 0.6× 79 0.6× 156 2.3k
Djellel Difallah Switzerland 13 690 0.9× 432 1.0× 192 0.5× 379 1.9× 57 0.4× 33 1.6k
Jichang Zhao China 18 485 0.6× 246 0.5× 500 1.3× 79 0.4× 63 0.5× 72 1.5k
Yunqing Xia China 17 1.5k 1.9× 531 1.2× 310 0.8× 81 0.4× 109 0.8× 68 1.9k
Hal Berghel United States 19 380 0.5× 493 1.1× 350 0.9× 216 1.1× 182 1.3× 170 1.4k
Hila Becker United States 11 560 0.7× 398 0.9× 263 0.7× 131 0.7× 79 0.6× 20 1.2k
Matthew Lease United States 27 1.3k 1.7× 762 1.7× 228 0.6× 136 0.7× 142 1.0× 106 2.3k
Rishabh Mehrotra United Kingdom 14 579 0.7× 548 1.2× 165 0.4× 75 0.4× 129 0.9× 53 1.1k
Rama Akkiraju United States 18 961 1.2× 830 1.8× 193 0.5× 347 1.7× 31 0.2× 61 1.6k

Countries citing papers authored by Pradeep Kumar Roy

Since Specialization
Citations

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

Fields of papers citing papers by Pradeep Kumar Roy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pradeep Kumar Roy

This figure shows the co-authorship network connecting the top 25 collaborators of Pradeep Kumar Roy. A scholar is included among the top collaborators of Pradeep Kumar 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 Pradeep Kumar Roy. Pradeep Kumar Roy 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.
Roy, Pradeep Kumar, et al.. (2025). Is It genuine or fake? Analyzing e-commerce reviews using large language models. Knowledge-Based Systems. 330. 114556–114556.
2.
Roy, Pradeep Kumar & Abhinav Kumar. (2025). Ensuring safety in digital spaces: Detecting code-mixed hate speech in social media posts. Data & Knowledge Engineering. 156. 102409–102409. 1 indexed citations
3.
Roy, Pradeep Kumar. (2024). MMFFHS: Multi-Modal Feature Fusion for Hate Speech Detection on Social Media. IEEE Transactions on Big Data. 11(3). 1247–1258. 2 indexed citations
4.
Roy, Pradeep Kumar. (2024). An advanced learning approach for detecting sarcasm in social media posts: Theory and solutions. Social Science Quarterly. 2 indexed citations
5.
Roy, Pradeep Kumar, Abhinav Kumar, & Ashish Singh. (2024). Advanced Learning for Phishing URLs Detection to Secure Consumer-Centric Applications. IEEE Transactions on Consumer Electronics. 70(3). 5756–5763. 1 indexed citations
6.
Saumya, Sunil, Pradeep Kumar Roy, & Jyoti Prakash Singh. (2023). Review helpfulness prediction on e-commerce websites: A comprehensive survey. Engineering Applications of Artificial Intelligence. 126. 107075–107075. 7 indexed citations
7.
Roy, Pradeep Kumar, et al.. (2023). Deep feature fusion for hate speech detection: a transfer learning approach. Multimedia Tools and Applications. 82(23). 36279–36301. 8 indexed citations
8.
Roy, Pradeep Kumar & Ashish Kumar Singh. (2023). COVID-19 Disease Prediction Using Weighted Ensemble Transfer Learning.. International Journal of Interactive Multimedia and Artificial Intelligence. 8(1). 13–22. 4 indexed citations
9.
Roy, Pradeep Kumar, Sunil Saumya, Jyoti Prakash Singh, Snehasish Banerjee, & Adnan Gutub. (2022). Analysis of community question‐answering issues via machine learning and deep learning: State‐of‐the‐art review. CAAI Transactions on Intelligence Technology. 8(1). 95–117. 67 indexed citations
10.
Roy, Pradeep Kumar & Abhinav Kumar. (2022). Early prediction of COVID-19 using ensemble of transfer learning. Computers & Electrical Engineering. 101. 108018–108018. 17 indexed citations
11.
Roy, Pradeep Kumar, et al.. (2022). LMNet: Lightweight multi-scale convolutional neural network architecture for COVID-19 detection in IoMT environment. Computers & Electrical Engineering. 103. 108325–108325. 5 indexed citations
12.
Roy, Pradeep Kumar, et al.. (2022). IIITSurat@LT-EDI-ACL2022: Hope Speech Detection using Machine Learning. 120–126. 5 indexed citations
13.
Roy, Pradeep Kumar, et al.. (2021). COVID-19: A Comprehensive Review of Learning Models. Archives of Computational Methods in Engineering. 29(3). 1915–1940. 16 indexed citations
14.
Das, Tapan Kumar, Pradeep Kumar Roy, Mohy Uddin, et al.. (2021). Early Tumor Diagnosis in Brain MR Images via Deep Convolutional Neural Network Model. Computers, materials & continua/Computers, materials & continua (Print). 68(2). 2413–2429. 15 indexed citations
15.
Singh, Sunil K. & Pradeep Kumar Roy. (2020). Detecting Malicious DNS over HTTPS Traffic Using Machine Learning. 1–6. 31 indexed citations
16.
Roy, Pradeep Kumar. (2020). Multilayer Convolutional Neural Network to Filter Low Quality Content from Quora. Neural Processing Letters. 52(1). 805–821. 16 indexed citations
17.
Roy, Pradeep Kumar, et al.. (2019). In Clay Soil Ground Improvement by using Jute Geotextile Reinforcement in Stone Column. 8(1). 1 indexed citations
18.
Roy, Pradeep Kumar, et al.. (2018). Encircling the Base Station for Source Location Privacy in Wireless Sensor Networks. 307–312. 1 indexed citations
19.
Roy, Pradeep Kumar, Jyoti Prakash Singh, Abdullah M. Baabdullah, Hatice Kizgin, & Nripendra P. Rana. (2018). Identifying reputation collectors in community question answering (CQA) sites: Exploring the dark side of social media. International Journal of Information Management. 42. 25–35. 29 indexed citations
20.
Singh, Jyoti Prakash, et al.. (2016). Predicting the “helpfulness” of online consumer reviews. Journal of Business Research. 70. 346–355. 327 indexed citations breakdown →

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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