Rajvardhan Oak

470 total citations
17 papers, 172 citations indexed

About

Rajvardhan Oak is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Rajvardhan Oak has authored 17 papers receiving a total of 172 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Information Systems and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Rajvardhan Oak's work include Topic Modeling (3 papers), Advanced Malware Detection Techniques (3 papers) and Spam and Phishing Detection (2 papers). Rajvardhan Oak is often cited by papers focused on Topic Modeling (3 papers), Advanced Malware Detection Techniques (3 papers) and Spam and Phishing Detection (2 papers). Rajvardhan Oak collaborates with scholars based in United States, India and Saudi Arabia. Rajvardhan Oak's co-authors include Min Du, Dawn Song, Chang Liu, Zhi Chen, Zubair Shafiq, Mukesh Soni, Mohammad Shabaz, Ismail Keshta, Anjali Joshi and Haewon Byeon and has published in prestigious journals such as Computers & Electrical Engineering, International Journal of Information Technology and Journal of Data and Information Quality.

In The Last Decade

Rajvardhan Oak

15 papers receiving 162 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rajvardhan Oak United States 6 102 81 51 44 19 17 172
Moses Ashawa United Kingdom 7 82 0.8× 81 1.0× 90 1.8× 68 1.5× 12 0.6× 26 185
Kieran Greer United Kingdom 6 134 1.3× 41 0.5× 36 0.7× 53 1.2× 17 0.9× 39 182
Luke Valenta United States 8 118 1.2× 74 0.9× 49 1.0× 78 1.8× 15 0.8× 11 180
Keith Harrison United States 10 105 1.0× 74 0.9× 55 1.1× 91 2.1× 22 1.2× 18 175
Abir Rahali Canada 7 160 1.6× 200 2.5× 153 3.0× 93 2.1× 22 1.2× 8 306
Yasir Malik Canada 9 72 0.7× 140 1.7× 99 1.9× 81 1.8× 15 0.8× 29 200
Bodo Möller Germany 4 104 1.0× 66 0.8× 53 1.0× 72 1.6× 9 0.5× 6 164
Chengfang Fang Singapore 8 163 1.6× 44 0.5× 32 0.6× 22 0.5× 23 1.2× 17 210
Riccardo Tommasini Italy 8 86 0.8× 97 1.2× 44 0.9× 51 1.2× 23 1.2× 43 170
R. Housley 3 48 0.5× 94 1.2× 19 0.4× 47 1.1× 25 1.3× 3 168

Countries citing papers authored by Rajvardhan Oak

Since Specialization
Citations

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

Fields of papers citing papers by Rajvardhan Oak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rajvardhan Oak

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

All Works

17 of 17 papers shown
1.
Oak, Rajvardhan & Zubair Shafiq. (2025). Towards Characterizing and Detecting Incentivized Reviews on eCommerce Platforms. Proceedings of the International AAAI Conference on Web and Social Media. 19. 1358–1369.
2.
Oak, Rajvardhan & Zubair Shafiq. (2024). Understanding Underground Incentivized Review Services. 1–18. 4 indexed citations
3.
Oak, Rajvardhan. (2024). Detecting review fraud using metaheuristic graph neural networks. International Journal of Information Technology. 16(7). 4019–4025. 5 indexed citations
4.
Byeon, Haewon, Mohammad Shabaz, Anjali Joshi, et al.. (2023). Deep learning model to detect deceptive generative adversarial network generated images using multimedia forensic. Computers & Electrical Engineering. 113. 109024–109024. 9 indexed citations
5.
Martin, John, Rajvardhan Oak, Mukesh Soni, et al.. (2023). Fusion-based Representation Learning Model for Multimode User-generated Social Network Content. Journal of Data and Information Quality. 15(3). 1–21.
6.
Oak, Rajvardhan, et al.. (2023). Ethics of Adversarial Machine Learning and Data Poisoning. 2(1). 5 indexed citations
7.
Oak, Rajvardhan. (2022). Poster Towards Authorship Obfuscation with Language Models. Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security. 3435–3437. 1 indexed citations
8.
Oak, Rajvardhan, et al.. (2020). Artificial Intelligence: Ethics in Practice.. 45. 1 indexed citations
9.
Oak, Rajvardhan, et al.. (2019). Poster. 2597–2599. 4 indexed citations
10.
Oak, Rajvardhan, et al.. (2019). Malware Detection on Highly Imbalanced Data through Sequence Modeling. 37–48. 40 indexed citations
11.
12.
Oak, Rajvardhan. (2019). Poster. 2621–2623. 10 indexed citations
13.
Du, Min, Zhi Chen, Chang Liu, Rajvardhan Oak, & Dawn Song. (2019). Lifelong Anomaly Detection Through Unlearning. 1283–1297. 68 indexed citations
14.
Oak, Rajvardhan, et al.. (2018). Smart Collaboration Mechanism Using Blockchain Technology. 117–121. 9 indexed citations
15.
Oak, Rajvardhan, et al.. (2017). A Novel Architecture for Continuous Authentication using Behavioural Biometrics. 767–771. 4 indexed citations
16.
Oak, Rajvardhan. (2016). Extractive Techniques for Automatic Document Summarization: A Survey. International Journal of Innovative Research in Computer and Communication Engineering. 4(3). 4158–4164. 5 indexed citations
17.
Oak, Rajvardhan. (2016). A Study of Digital Image Segmentation Techniques. International Journal Of Engineering And Computer Science. 6 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Moses Ashawa Breakdown of academic impact, for papers by Kieran Greer Breakdown of academic impact, for papers by Luke Valenta Breakdown of academic impact, for papers by Keith Harrison Breakdown of academic impact, for papers by Abir Rahali Breakdown of academic impact, for papers by Yasir Malik Breakdown of academic impact, for papers by Bodo Möller Breakdown of academic impact, for papers by Chengfang Fang Breakdown of academic impact, for papers by Riccardo Tommasini Breakdown of academic impact, for papers by R. Housley
Rankless by CCL
2026