Prateek Yadav

731 total citations
26 papers, 220 citations indexed

About

Prateek Yadav is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Prateek Yadav has authored 26 papers receiving a total of 220 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 9 papers in Electrical and Electronic Engineering and 5 papers in Computer Networks and Communications. Recurrent topics in Prateek Yadav's work include Topic Modeling (6 papers), Advanced Graph Neural Networks (5 papers) and Optical Wireless Communication Technologies (4 papers). Prateek Yadav is often cited by papers focused on Topic Modeling (6 papers), Advanced Graph Neural Networks (5 papers) and Optical Wireless Communication Technologies (4 papers). Prateek Yadav collaborates with scholars based in India and United States. Prateek Yadav's co-authors include Partha Talukdar, Naganand Yadati, Madhav Nimishakavi, Anand Louis, Vikram Nitin, Yogendra Kumar Prajapati, Mohit Bansal, Subrat Kar, Swarnadeep Saha and Shikhar Vashishth and has published in prestigious journals such as IEEE Internet of Things Journal, Optical Engineering and Energy Reports.

In The Last Decade

Prateek Yadav

25 papers receiving 214 citations

Peers

Prateek Yadav
Lingxiao Zhao United States
Runhe Qiu China
Sebastian Schlag Germany
Dominique LaSalle United States
Vassilis N. Ioannidis United States
Shaobo He United States
Janis Nötzel Germany
Hasitha Muthumala Waidyasooriya Japan
Qianxue Wang China
Lingxiao Zhao United States
Prateek Yadav
Citations per year, relative to Prateek Yadav Prateek Yadav (= 1×) peers Lingxiao Zhao

Countries citing papers authored by Prateek Yadav

Since Specialization
Citations

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

Fields of papers citing papers by Prateek Yadav

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prateek Yadav

This figure shows the co-authorship network connecting the top 25 collaborators of Prateek Yadav. A scholar is included among the top collaborators of Prateek Yadav 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 Prateek Yadav. Prateek Yadav 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.
Yadav, Prateek, et al.. (2025). Glider: Global and Local Instruction-Driven Expert Router. 6251–6312.
2.
Yadav, Prateek & Subrat Kar. (2024). A cost-efficient content distribution optimization model for fog-based content delivery networks. Journal of Cloud Computing Advances Systems and Applications. 13(1). 1 indexed citations
3.
Yadav, Prateek & Subrat Kar. (2024). Efficient Content Distribution in Fog-Based CDN: A Joint Optimization Algorithm for Fog-Node Placement and Content Delivery. IEEE Internet of Things Journal. 11(9). 16578–16590. 10 indexed citations
4.
Yadav, Prateek, Qing Sun, Xiaopeng Li, et al.. (2023). Exploring Continual Learning for Code Generation Models. 782–792. 7 indexed citations
5.
Yadav, Prateek & Mohit Bansal. (2023). Exclusive Supermask Subnetwork Training for Continual Learning. 569–587. 1 indexed citations
6.
Saha, Swarnadeep, Prateek Yadav, & Mohit Bansal. (2022). Explanation Graph Generation via Pre-trained Language Models: An Empirical Study with Contrastive Learning. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 1190–1208. 3 indexed citations
7.
Jain, Sandeep, et al.. (2022). Semiconductor material photonic crystal fiber for mid-infrared supercontinuum generation. Materials Today Proceedings. 74. 255–258. 7 indexed citations
8.
Yadav, Prateek, et al.. (2022). Impact of misalignment parameter on performance of free-space optical communication system. Optical and Quantum Electronics. 55(2). 2 indexed citations
9.
Saha, Swarnadeep, Prateek Yadav, & Mohit Bansal. (2021). multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning. 3662–3677. 11 indexed citations
10.
Yadav, Prateek, et al.. (2021). A companding approach for PAPR suppression in OFDM based massive MIMO system. Journal of Optical Communications. 44(s1). s1551–s1555. 2 indexed citations
11.
Yadav, Prateek & Yogendra Kumar Prajapati. (2021). A Novel Hybrid Technique for PAPR Reduction of Rayleigh Fading Channel Based OFDM System. Wireless Personal Communications. 123(4). 3327–3346. 3 indexed citations
12.
Yadav, Prateek, et al.. (2020). A comprehensive road map of modern communication through free-space optics. Journal of Optical Communications. 44(s1). s1497–s1513. 12 indexed citations
13.
Yadati, Naganand, Vikram Nitin, Madhav Nimishakavi, et al.. (2020). NHP: Neural Hypergraph Link Prediction. 1705–1714. 49 indexed citations
14.
Yadati, Naganand, Madhav Nimishakavi, Prateek Yadav, et al.. (2019). HyperGCN: A New Method For Training Graph Convolutional Networks on Hypergraphs. ePrints@IISc (Indian Institute of Science). 32. 1509–1520. 26 indexed citations
15.
16.
Vashishth, Shikhar, et al.. (2018). Graph Convolutional Networks based Word Embeddings.. arXiv (Cornell University). 3 indexed citations
17.
Yadati, Naganand, Madhav Nimishakavi, Prateek Yadav, Anand Louis, & Partha Talukdar. (2018). HyperGCN: Hypergraph Convolutional Networks for Semi-Supervised Classification.. arXiv (Cornell University). 12 indexed citations
18.
Yadati, Naganand, Vikram Nitin, Madhav Nimishakavi, et al.. (2018). Link Prediction in Hypergraphs using Graph Convolutional Networks. 6 indexed citations
19.
Yadav, Prateek, et al.. (2017). A Survey on Question –Answering System. International Journal Of Engineering And Computer Science. 5 indexed citations
20.
Yadav, Prateek, et al.. (2016). Study and analysis of eSTREAM cipher Salsa and ChaCha. 2015. 90–94. 12 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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