Vinay Kumar Verma

1.3k total citations
42 papers, 478 citations indexed

About

Vinay Kumar Verma is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Materials Chemistry. According to data from OpenAlex, Vinay Kumar Verma has authored 42 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 16 papers in Artificial Intelligence and 5 papers in Materials Chemistry. Recurrent topics in Vinay Kumar Verma's work include Domain Adaptation and Few-Shot Learning (13 papers), Digital Media Forensic Detection (6 papers) and Multimodal Machine Learning Applications (5 papers). Vinay Kumar Verma is often cited by papers focused on Domain Adaptation and Few-Shot Learning (13 papers), Digital Media Forensic Detection (6 papers) and Multimodal Machine Learning Applications (5 papers). Vinay Kumar Verma collaborates with scholars based in India, United States and United Kingdom. Vinay Kumar Verma's co-authors include Piyush Rai, Nitin Khanna, Lawrence Carin, Pravendra Singh, Nikita Agarwal, N.B. Singh, T. Sonamani Singh, Yunchen Pu, Changyou Chen and Wenlin Wang and has published in prestigious journals such as Construction and Building Materials, International Journal of Computer Vision and Journal of Alloys and Compounds.

In The Last Decade

Vinay Kumar Verma

41 papers receiving 459 citations

Peers

Vinay Kumar Verma

CVPR

Y.S. Zhang China

Li Hou China

Akshat Jain India

Guizhong Fu China

Zhenjun Zhang China

Wenqi Wang China

Sijie Liu China

Aditya Deshpande India

Jianglong Zhang China

Y.S. Zhang China

Vinay Kumar Verma

129 ×0.6

CVPR

85 ×0.5

102 ×1.5

140 ×2.5

52 ×1.1

Citations per year, relative to Vinay Kumar Verma Vinay Kumar Verma (= 1×) peers Y.S. Zhang

Countries citing papers authored by Vinay Kumar Verma

Since Specialization

Citations

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

Fields of papers citing papers by Vinay Kumar Verma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vinay Kumar Verma

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

All Works

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20 of 20 papers shown

Verma, Vinay Kumar, Ram Sevak Singh, Mukul Kumar Gupta, & Arun Kumar Singh. (2025). Fermi-level tuning in graphene via green synthesized h-MoO3: Enhanced supercapacitor performance of h-MoO3 doped graphene. Journal of Alloys and Compounds. 1018. 179225–179225. 5 indexed citations

Verma, Vinay Kumar, et al.. (2025). Hydration and stain resistance of blended cements in presence of nano-TiO2. Innovative Infrastructure Solutions. 10(2). 3 indexed citations

Banerjee, Soumya, et al.. (2024). VERSE: Virtual-Gradient Aware Streaming Lifelong Learning with Anytime Inference. Pure (University of Bath). 493–500. 1 indexed citations

Menon, Nandini, et al.. (2024). Robotic Neck Dissection in Head and Neck Cancer via Modified BABA Technique. The Laryngoscope. 134(9). 4045–4051. 1 indexed citations

Roy, Anurag, et al.. (2024). Convolutional Prompting meets Language Models for Continual Learning. 23616–23626. 5 indexed citations

Verma, Vinay Kumar, et al.. (2024). Meta-Learned Attribute Self-Interaction Network for Continual and Generalized Zero-Shot Learning. 2709–2719. 3 indexed citations

Verma, Vinay Kumar, et al.. (2023). Hydration of Portland slag cement in the presence of nano silica. Construction and Building Materials. 394. 132173–132173. 31 indexed citations

Verma, Vinay Kumar, et al.. (2023). Block-level double JPEG compression detection for image forgery localization. Multimedia Tools and Applications. 83(4). 9949–9971. 13 indexed citations

Verma, Vinay Kumar, et al.. (2023). Pushing the Efficiency Limit Using Structured Sparse Convolutions. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 6492–6502. 2 indexed citations

10.

Gautam, Chandan, et al.. (2022). Refinement Matters: Textual Description Needs to be Refined for Zero-shot Learning. 6127–6140. 4 indexed citations

11.

Verma, Vinay Kumar, et al.. (2021). Comparative Study of Cloud Computing and Edge Computing: Three Level Architecture Models and Security Challenges. SSRN Electronic Journal. 5 indexed citations

12.

Singh, Pravendra, et al.. (2020). Calibrating CNNs for Lifelong Learning. Neural Information Processing Systems. 33. 15579–15590. 27 indexed citations

13.

Verma, Vinay Kumar, et al.. (2020). Investigating the Effect of Vibrotactile Feedback in Transfemoral Amputee With and Without Movable Ankle Joint. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 28(12). 2890–2900. 10 indexed citations

14.

Verma, Vinay Kumar & Nitin Khanna. (2019). CNN-based System for Speaker Independent Cell-Phone Identification from Recorded Audio. Computer Vision and Pattern Recognition. 53–61. 7 indexed citations

15.

Singh, Pravendra, Vinay Kumar Verma, Piyush Rai, & Vinay P. Namboodiri. (2019). HetConv: Beyond Homogeneous Convolution Kernels for Deep CNNs. International Journal of Computer Vision. 128(8-9). 2068–2088. 14 indexed citations

16.

Verma, Vinay Kumar, Nikita Agarwal, & Nitin Khanna. (2018). DCT-domain deep convolutional neural networks for multiple JPEG compression classification. Signal Processing Image Communication. 67. 22–33. 37 indexed citations

17.

Verma, Vinay Kumar, et al.. (2017). A Probabilistic Framework for Multi-Label Learning with Unseen Labels.. Uncertainty in Artificial Intelligence. 2 indexed citations

18.

Verma, Vinay Kumar, et al.. (2013). Perception of Esthetics of Different Malocclusion Traits by Laypersons. The Journal of Indian Orthodontic Society. 47(4_suppl4). 474–478. 2 indexed citations

19.

Mishra, Vivekanand, et al.. (2011). A Heuristic algorithm for reducing wavelength number of optical WDM networks. Optik. 122(22). 1971–1974. 6 indexed citations

20.

Ramachandra, C., Vinay Kumar Verma, & Vakil Singh. (1988). Low cycle fatigue behaviour of titanium alloy 685. International Journal of Fatigue. 10(1). 21–26. 24 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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