Prateek Jain

1.3k total citations
30 papers, 397 citations indexed

About

Prateek Jain is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Automotive Engineering. According to data from OpenAlex, Prateek Jain has authored 30 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 9 papers in Electrical and Electronic Engineering and 7 papers in Automotive Engineering. Recurrent topics in Prateek Jain's work include Sparse and Compressive Sensing Techniques (7 papers), Advanced Battery Technologies Research (7 papers) and Electric Vehicles and Infrastructure (6 papers). Prateek Jain is often cited by papers focused on Sparse and Compressive Sensing Techniques (7 papers), Advanced Battery Technologies Research (7 papers) and Electric Vehicles and Infrastructure (6 papers). Prateek Jain collaborates with scholars based in India, United States and Oman. Prateek Jain's co-authors include Purushottam Kar, Trapti Jain, Animashree Anandkumar, Praneeth Netrapalli, Sujay Sanghavi, Ioannis Mitliagkas, Constantine Caramanis, Inderjit S. Dhillon, Raghu Meka and Dwaipayan Roy and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Signal Processing Magazine and Sustainable Cities and Society.

In The Last Decade

Prateek Jain

27 papers receiving 378 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Prateek Jain India	10	142	131	90	82	74	30	397
Xingju Cai China	12	283 2.0×	36 0.3×	50 0.6×	39 0.5×	36 0.5×	43	504
Muhammed O. Sayin Türkiye	11	193 1.4×	78 0.6×	99 1.1×	36 0.4×	24 0.3×	30	414
Deni Torres-Román Mexico	11	15 0.1×	77 0.6×	71 0.8×	21 0.3×	72 1.0×	61	307
Jie Cheng China	8	19 0.1×	132 1.0×	70 0.8×	10 0.1×	22 0.3×	29	275
Yanwei Xu China	8	34 0.2×	53 0.4×	120 1.3×	7 0.1×	84 1.1×	25	383
Davide Zanetti Italy	12	23 0.2×	250 1.9×	220 2.4×	37 0.5×	66 0.9×	20	639
Takeshi Ikenaga Japan	12	31 0.2×	197 1.5×	63 0.7×	16 0.2×	94 1.3×	141	488
Ruitao Xie China	14	80 0.6×	234 1.8×	320 3.6×	19 0.2×	59 0.8×	30	785
Hartmut Noltemeier Germany	11	80 0.6×	33 0.3×	39 0.4×	13 0.2×	69 0.9×	39	468

Countries citing papers authored by Prateek Jain

Since Specialization

Citations

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

Fields of papers citing papers by Prateek Jain

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prateek Jain

This figure shows the co-authorship network connecting the top 25 collaborators of Prateek Jain. A scholar is included among the top collaborators of Prateek Jain 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 Jain. Prateek Jain 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

Hiremath, Pavan, et al.. (2025). Influence of gas carburization on the microstructure, mechanical properties, and alloying elements behaviour in plain and alloyed low carbon steels. Materials Research Express. 12(4). 46507–46507.

Singh, Dharmendra, et al.. (2024). Insurance and economic growth nexus: A comprehensive exploration of the dynamic relationship and future research trajectories. Journal of Economic Surveys. 39(3). 841–876. 3 indexed citations

Hiremath, Pavan, et al.. (2024). Elevating carbon diffusion: deciphering the interplay of alloy composition and carburizing treatment in low carbon steels. Cogent Engineering. 11(1). 1 indexed citations

Jain, Prateek, et al.. (2023). Fault Detection and Classification in Electrical Power Transmission System Using Wavelet Transform. SHILAP Revista de lepidopterología. 71–71. 5 indexed citations

Jain, Prateek, et al.. (2021). Near-optimal Offline and Streaming Algorithms for Learning Non-Linear Dynamical Systems. Neural Information Processing Systems. 34. 1 indexed citations

Roy, Dwaipayan, Sumit Bhatia, & Prateek Jain. (2020). A Topic-Aligned Multilingual Corpus of Wikipedia Articles for Studying Information Asymmetry in Low Resource Languages.. Language Resources and Evaluation. 2373–2380. 5 indexed citations

Virmani, Deepali, et al.. (2020). iSeePlus : A cost effective smart assistance archetype based on deep learning model for visually impaired. Journal of Information and Optimization Sciences. 41(7). 1741–1756. 3 indexed citations

Thekumparampil, Kiran Koshy, Prateek Jain, Praneeth Netrapalli, & Sewoong Oh. (2019). Efficient Algorithms for Smooth Minimax Optimization. arXiv (Cornell University). 32. 12659–12670. 7 indexed citations

Jain, Prateek, et al.. (2019). Understanding Financial Transaction Documents using Natural Language Processing. 255–258. 1 indexed citations

10.

Jain, Prateek & Trapti Jain. (2018). Application of V2G and G2V Coordination of Aggregated Electric Vehicle Resource in Load Levelling. International Journal of Emerging Electric Power Systems. 19(2). 4 indexed citations

11.

Jain, Prateek, Jacob Mueller, Jonghyun Park, Robert G. Landers, & Jonathan W. Kimball. (2018). Battery Optimization in Microgrids using Markov Decision Process Integrated with Load and Solar forecasting. 20. 1–8. 1 indexed citations

12.

Jain, Prateek, et al.. (2017). Irrigation management system with micro-controller application. 3. 1–6. 11 indexed citations

13.

Jain, Prateek & Trapti Jain. (2016). Development of V2G and G2V Power Profiles and Their Implications on Grid Under Varying Equilibrium of Aggregated Electric Vehicles. International Journal of Emerging Electric Power Systems. 17(2). 101–115. 7 indexed citations

14.

Anandkumar, Animashree, et al.. (2016). Tensor vs. Matrix Methods: Robust Tensor Decomposition under Block Sparse Perturbations. CaltechAUTHORS (California Institute of Technology). 51. 268–276. 16 indexed citations

15.

Singh, Mandeep, et al.. (2015). Low cost high voltage battery string monitoring system. 867–871. 3 indexed citations

16.

Jain, Prateek, et al.. (2014). A study on Optimization of Flow through Venturi of a Carburettor.. International Journal of Scientific Engineering and Technology. 3(5). 570–573. 3 indexed citations

17.

Jain, Prateek & Trapti Jain. (2014). Assessment of electric vehicle charging load and its impact on electricity market price. 74–79. 6 indexed citations

18.

Jain, Prateek & Trapti Jain. (2014). Impacts of G2V and V2G power on electricity demand profile. 1–8. 25 indexed citations

19.

Mitliagkas, Ioannis, Constantine Caramanis, & Prateek Jain. (2013). Memory Limited, Streaming PCA. arXiv (Cornell University). 26. 2886–2894. 31 indexed citations

20.

Meka, Raghu, Prateek Jain, & Inderjit S. Dhillon. (2009). Matrix Completion from Power-Law Distributed Samples. Neural Information Processing Systems. 22. 1258–1266. 27 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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