Anirban Roy

844 total citations
24 papers, 380 citations indexed

About

Anirban Roy is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Automotive Engineering. According to data from OpenAlex, Anirban Roy has authored 24 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 2 papers in Automotive Engineering. Recurrent topics in Anirban Roy's work include Adversarial Robustness in Machine Learning (10 papers), Domain Adaptation and Few-Shot Learning (6 papers) and Advanced Neural Network Applications (5 papers). Anirban Roy is often cited by papers focused on Adversarial Robustness in Machine Learning (10 papers), Domain Adaptation and Few-Shot Learning (6 papers) and Advanced Neural Network Applications (5 papers). Anirban Roy collaborates with scholars based in United States, India and Canada. Anirban Roy's co-authors include Siniša Todorović, Susmit Jha, Oleg Sokolsky, Insup Lee, Edgar Dobriban, Hema Swetha Koppula, Sachin Garg, Sangdon Park, Anandarup Mukherjee and Ajay Divakaran and has published in prestigious journals such as Electronics Letters, International Journal of Advanced Computer Science and Applications and Annual Computer Security Applications Conference.

In The Last Decade

Anirban Roy

23 papers receiving 367 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anirban Roy United States 8 290 110 109 46 25 24 380
Shumin Han China 7 190 0.7× 122 1.1× 38 0.3× 19 0.4× 15 0.6× 20 288
Zhenbo Xu China 10 218 0.8× 50 0.5× 47 0.4× 91 2.0× 42 1.7× 25 323
Jean-Marc Ogier France 13 421 1.5× 109 1.0× 124 1.1× 10 0.2× 16 0.6× 52 503
Partha Bhowmick India 10 311 1.1× 29 0.3× 83 0.8× 21 0.5× 10 0.4× 79 387
Tao Lu China 10 223 0.8× 50 0.5× 48 0.4× 49 1.1× 19 0.8× 27 335
Bart Lamiroy France 11 317 1.1× 43 0.4× 43 0.4× 89 1.9× 21 0.8× 41 368
Chao-Yung Hsu Taiwan 10 418 1.4× 145 1.3× 33 0.3× 17 0.4× 44 1.8× 27 515
Haoyu Zhao China 9 209 0.7× 70 0.6× 95 0.9× 12 0.3× 10 0.4× 35 281

Countries citing papers authored by Anirban Roy

Since Specialization
Citations

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

Fields of papers citing papers by Anirban Roy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anirban Roy

This figure shows the co-authorship network connecting the top 25 collaborators of Anirban Roy. A scholar is included among the top collaborators of Anirban 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 Anirban Roy. Anirban 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.
Dutta, Souradeep, Yiannis Kantaros, Anirban Roy, et al.. (2025). Safety Monitoring for Learning-Enabled Cyber-Physical Systems in Out-of-Distribution Scenarios. 1–11. 1 indexed citations
2.
Cobb, Adam D., et al.. (2024). Direct Amortized Likelihood Ratio Estimation. Proceedings of the AAAI Conference on Artificial Intelligence. 38(18). 20362–20369. 2 indexed citations
3.
4.
Jha, Susmit, et al.. (2023). Predicting Out-of-Distribution Performance of Deep Neural Networks Using Model Conformance. 19–28. 3 indexed citations
5.
Gupta, Rohit, Anirban Roy, Claire Christensen, et al.. (2023). Class Prototypes based Contrastive Learning for Classifying Multi-Label and Fine-Grained Educational Videos. 19923–19933. 7 indexed citations
6.
Roy, Anirban, et al.. (2023). A Comprehensive Study of DCNN Algorithms-based Transfer Learning for Human Eye Cataract Detection. International Journal of Advanced Computer Science and Applications. 14(6). 2 indexed citations
7.
Jha, Susmit, et al.. (2023). Challenges and Opportunities in Neuro-Symbolic Composition of Foundation Models. 156–161. 2 indexed citations
8.
Jha, Susmit, et al.. (2023). CODiT: Conformal Out-of-Distribution Detection in Time-Series Data for Cyber-Physical Systems. 120–131. 9 indexed citations
9.
Sikka, Karan, et al.. (2023). TIJO: Trigger Inversion with Joint Optimization for Defending Multimodal Backdoored Models. 165–175. 2 indexed citations
10.
Roy, Anirban, et al.. (2022). On Diverse System-Level Design Using Manifold Learning and Partial Simulated Annealing. Proceedings of the Design Society. 2. 1541–1548. 3 indexed citations
11.
Roy, Anirban, et al.. (2022). A learning-based framework for generating 3D building models from 2D images. 45–49. 1 indexed citations
12.
Acharya, Manoj, et al.. (2022). Detecting Out-Of-Context Objects Using Graph Contextual Reasoning Network. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. 629–635. 7 indexed citations
13.
Jha, Susmit, Anirban Roy, Sangdon Park, et al.. (2022). iDECODe: In-Distribution Equivariance for Conformal Out-of-Distribution Detection. Proceedings of the AAAI Conference on Artificial Intelligence. 36(7). 7104–7114. 14 indexed citations
14.
Roy, Anirban, et al.. (2022). Trinity AI Co-Designer for Hierarchical Oracle-guided Design of Cyber-Physical Systems. 32. 42–44. 1 indexed citations
15.
Li, Wenchao, et al.. (2021). MISA: Online Defense of Trojaned Models using Misattributions. Annual Computer Security Applications Conference. 570–585. 5 indexed citations
16.
Roy, Anirban & Siniša Todorović. (2018). Learning to Learn Second-Order Back-Propagation for CNNs Using LSTMs. 4. 97–102. 3 indexed citations
17.
Roy, Anirban & Siniša Todorović. (2017). Combining Bottom-Up, Top-Down, and Smoothness Cues for Weakly Supervised Image Segmentation. 7282–7291. 69 indexed citations
18.
Roy, Anirban & Siniša Todorović. (2016). Monocular Depth Estimation Using Neural Regression Forest. 5506–5514. 202 indexed citations
19.
Roy, Anirban, Kartikeya Mayaram, & T.S. Fiez. (2014). Low‐voltage quadrature LC oscillator with fast start‐up. Electronics Letters. 50(23). 1706–1708. 1 indexed citations
20.
Srinivasan, Sridhar, et al.. (2008). Coding of high dynamic range images in JPEG XR / HD Photo. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7073. 707315–707315. 4 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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