Neeraj Varshney

1.7k total citations
87 papers, 788 citations indexed

About

Neeraj Varshney is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Neeraj Varshney has authored 87 papers receiving a total of 788 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Electrical and Electronic Engineering, 26 papers in Computer Networks and Communications and 21 papers in Artificial Intelligence. Recurrent topics in Neeraj Varshney's work include Wireless Body Area Networks (13 papers), Molecular Communication and Nanonetworks (12 papers) and Cooperative Communication and Network Coding (12 papers). Neeraj Varshney is often cited by papers focused on Wireless Body Area Networks (13 papers), Molecular Communication and Nanonetworks (12 papers) and Cooperative Communication and Network Coding (12 papers). Neeraj Varshney collaborates with scholars based in India, United States and Iraq. Neeraj Varshney's co-authors include Aditya K. Jagannatham, Parul Puri, Chitta Baral, Prabhat Kumar Sharma, Jian Wang, Nada Golmie, Camillo Gentile, Steve Blandino, J.C.-I. Chuang and Swaroop Mishra and has published in prestigious journals such as Scientific Reports, IEEE Access and IEEE Transactions on Communications.

In The Last Decade

Neeraj Varshney

74 papers receiving 766 citations

Peers

Neeraj Varshney
Lisu Yu China
Jehad M. Hamamreh Türkiye
William C. Headley United States
Haji M. Furqan Türkiye
Ali Rıza Ekti United States
Han Hai China
Kaizhi Huang China
Hamid Behroozi Iran
Yanling Chen Germany
Rolf Kraemer Germany
Lisu Yu China
Neeraj Varshney
Citations per year, relative to Neeraj Varshney Neeraj Varshney (= 1×) peers Lisu Yu

Countries citing papers authored by Neeraj Varshney

Since Specialization
Citations

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

Fields of papers citing papers by Neeraj Varshney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neeraj Varshney

This figure shows the co-authorship network connecting the top 25 collaborators of Neeraj Varshney. A scholar is included among the top collaborators of Neeraj Varshney 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 Neeraj Varshney. Neeraj Varshney 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
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Parmar, Mihir, et al.. (2024). LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models. 13679–13707. 7 indexed citations
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Varshney, Neeraj, et al.. (2024). Blockchain Compliance in Supply Chain Regulations: A Comprehensive Overview. 1244–1248. 1 indexed citations
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Varshney, Neeraj, et al.. (2024). Real-Time Environmental Monitoring and Prediction in IoT Networks With Graph Neural Networks. 1628–1633. 1 indexed citations
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Goyal, Himanshu Rai, et al.. (2024). Predictive Maintenance in Smart Grids with Long Short-Term Memory Networks (LSTM). 1370–1375. 2 indexed citations
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Yadav, Ravindra, et al.. (2024). Anomaly Detection in Medical Images Using Deep Reinforcement Learning. 506–512.
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Luo, Man, Tejas Gokhale, Neeraj Varshney, Yezhou Yang, & Chitta Baral. (2024). Advances in Multimodal Information Retrieval and Generation. 1 indexed citations
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Adnan, Myasar Mundher, et al.. (2024). Optimizing Regulatory Compliance in Supply Chains with Blockchain and Gaussian Process Regression. 1211–1215. 2 indexed citations
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Varshney, Neeraj & Chitta Baral. (2023). Post-Abstention: Towards Reliably Re-Attempting the Abstained Instances in QA. 967–982. 2 indexed citations
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Gupta, Himanshu, Neeraj Varshney, Swaroop Mishra, et al.. (2023). “John is 50 years old, can his son be 65?” Evaluating NLP Models’ Understanding of Feasibility. 3 indexed citations
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Varshney, Neeraj, Samuel Berweger, J.C.-I. Chuang, et al.. (2023). Adaptive Channel-State-Information Feedback in Integrated Sensing and Communication Systems. IEEE Internet of Things Journal. 10(24). 22469–22486. 4 indexed citations
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Varshney, Neeraj & Chitta Baral. (2022). Model Cascading: Towards Jointly Improving Efficiency and Accuracy of NLP Systems. 11007–11021. 6 indexed citations
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Varshney, Neeraj, et al.. (2021). Quasi-Deterministic Channel Propagation Model for an Urban Environment at 28 GHz. IEEE Antennas and Wireless Propagation Letters. 20(7). 1145–1149. 13 indexed citations
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Sharma, Prabhat Kumar, et al.. (2020). Impacts of Unintended Nanomachine in Diffusion-Based Molecular Communication System. IEEE Transactions on Molecular Biological and Multi-Scale Communications. 6(3). 210–219. 7 indexed citations
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Varshney, Neeraj, et al.. (2014). Security protocol for VANET by using digital certification to provide security with low bandwidth. 768–772. 11 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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