Vikash Kumar

2.8k total citations
18 papers, 131 citations indexed

About

Vikash Kumar is a scholar working on Artificial Intelligence, Hardware and Architecture and Computer Vision and Pattern Recognition. According to data from OpenAlex, Vikash Kumar has authored 18 papers receiving a total of 131 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 7 papers in Hardware and Architecture and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Vikash Kumar's work include Physical Unclonable Functions (PUFs) and Hardware Security (7 papers), Reinforcement Learning in Robotics (5 papers) and Integrated Circuits and Semiconductor Failure Analysis (4 papers). Vikash Kumar is often cited by papers focused on Physical Unclonable Functions (PUFs) and Hardware Security (7 papers), Reinforcement Learning in Robotics (5 papers) and Integrated Circuits and Semiconductor Failure Analysis (4 papers). Vikash Kumar collaborates with scholars based in India, United States and United Kingdom. Vikash Kumar's co-authors include Somanath Tripathy, Jimson Mathew, Aravind Rajeswaran, Igor Mordatch, Michael J. Ahn, Ofir Nachum, Shixiang Gu, Anirban Chakraborty, D. Atchuta Rao and Cathy Wu and has published in prestigious journals such as International Journal of Computer Vision, Computers & Geosciences and IET Circuits Devices & Systems.

In The Last Decade

Vikash Kumar

18 papers receiving 125 citations

Peers

Vikash Kumar

AI

EEE

CVPR

HA

BE

Juliane Krämer Germany

Dina Kamel Belgium

Berndt M. Gammel Germany

Zhuoran Song China

Wujie Wen United States

Coleman Hooper United States

Martin Ågren Sweden

Johanna Sepúlveda Germany

Marcello Traiola France

Ben Smeets Sweden

Juliane Krämer Germany

Vikash Kumar

106 ×1.6

AI

47 ×1.1

EEE

29 ×0.7

CVPR

65 ×1.8

HA

8 ×0.7

BE

Citations per year, relative to Vikash Kumar Vikash Kumar (= 1×) peers Juliane Krämer

Countries citing papers authored by Vikash Kumar

Since Specialization

Citations

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

Fields of papers citing papers by Vikash Kumar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vikash Kumar

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

All Works

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18 of 18 papers shown

1.

Kumar, Vikash, Somanath Tripathy, & Jimson Mathew. (2023). LPA: A Lightweight PUF-based Authentication Protocol for IoT System. 1712–1717. 5 indexed citations

2.

Kumar, Vikash, et al.. (2023). Improving Domain Adaptation Through Class Aware Frequency Transformation. International Journal of Computer Vision. 131(11). 2888–2907. 6 indexed citations

3.

Kumar, Vikash, et al.. (2023). CoNMix for Source-free Single and Multi-target Domain Adaptation. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 4167–4177. 18 indexed citations

4.

Tripathy, Somanath, Vikash Kumar, & Jimson Mathew. (2021). MARPUF: physical unclonable function with improved machine learning attack resistance. IET Circuits Devices & Systems. 15(5). 465–474. 7 indexed citations

5.

Kumar, Vikash, Somanath Tripathy, & Jimson Mathew. (2021). TRGP: A Low-Cost Re-Configurable TRNG-PUF Architecture for IoT. 420–425. 9 indexed citations

6.

Kumar, Vikash, et al.. (2021). CAFT: Class Aware Frequency Transform for Reducing Domain Gap. 2525–2534. 3 indexed citations

7.

Kumar, Vikash, Somanath Tripathy, & Jimson Mathew. (2021). Design and Analysis of Reconfigurable Cryptographic Primitives: TRNG and PUF. 5(3-4). 247–259. 7 indexed citations

8.

Kumar, Vikash, et al.. (2021). RRL: Resnet as representation for Reinforcement Learning. arXiv (Cornell University). 9465–9476. 3 indexed citations

9.

Kumar, Vikash, et al.. (2020). Changing Dynamics of India-GCC Relations under Modi Government: Prospects and Challenges. 6(3). 2 indexed citations

10.

Rajeswaran, Aravind, Igor Mordatch, & Vikash Kumar. (2020). A Game Theoretic Framework for Model Based Reinforcement Learning. International Conference on Machine Learning. 7953–7963. 6 indexed citations

11.

Sharma, Archit, Shixiang Gu, Sergey Levine, Vikash Kumar, & Karol Hausman. (2020). Dynamics-Aware Unsupervised Skill Discovery. International Conference on Learning Representations. 3 indexed citations

12.

Kumar, Vikash, Somanath Tripathy, & Jimson Mathew. (2020). 2SPUF: Machine Learning Attack Resistant SRAM PUF. 149–154. 9 indexed citations

13.

Kumar, Vikash, et al.. (2019). Correlation power analysis and effective defense approach on light encryption device block cipher. Security and Privacy. 2(5). 5 indexed citations

14.

Nachum, Ofir, et al.. (2019). Multi-Agent Manipulation via Locomotion using Hierarchical Sim2Real. 110–121. 8 indexed citations

15.

Wu, Cathy, Aravind Rajeswaran, Yan Duan, et al.. (2018). Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines. arXiv (Cornell University). 5 indexed citations

16.

Kumar, Vikash, et al.. (2018). Smarter Artificial Intelligence with Deep Learning. International Journal of Computer Science and Engineering. 5(6). 10–16. 5 indexed citations

17.

Kumar, Vikash, Somanath Tripathy, & Jimson Mathew. (2018). Memristor based Random Number Generator: Architectures and Evaluation. Procedia Computer Science. 125. 576–583. 25 indexed citations

18.

Babu, H. V. Ram, et al.. (1989). MAGTRAN: a computer program for the transformation of magnetic and gravity anomalies. Computers & Geosciences. 15(6). 979–988. 5 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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