Deepjyoti Deka

1.3k total citations
46 papers, 599 citations indexed

About

Deepjyoti Deka is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Computer Networks and Communications. According to data from OpenAlex, Deepjyoti Deka has authored 46 papers receiving a total of 599 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Electrical and Electronic Engineering, 21 papers in Control and Systems Engineering and 10 papers in Computer Networks and Communications. Recurrent topics in Deepjyoti Deka's work include Power System Optimization and Stability (17 papers), Optimal Power Flow Distribution (14 papers) and Smart Grid Security and Resilience (9 papers). Deepjyoti Deka is often cited by papers focused on Power System Optimization and Stability (17 papers), Optimal Power Flow Distribution (14 papers) and Smart Grid Security and Resilience (9 papers). Deepjyoti Deka collaborates with scholars based in United States, India and Russia. Deepjyoti Deka's co-authors include Michael Chertkov, Scott Backhaus, Meng Wang, Sriram Vishwanath, Murti V. Salapaka, Saurav Talukdar, Ross Baldick, Vassilis Kekatos, Guido Cavraro and Md Umar Hashmi and has published in prestigious journals such as PLoS ONE, Proceedings of the IEEE and Applied Energy.

In The Last Decade

Deepjyoti Deka

42 papers receiving 592 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deepjyoti Deka United States 12 456 282 91 80 65 46 599
Hesen Liu United States 11 533 1.2× 334 1.2× 112 1.2× 105 1.3× 51 0.8× 20 655
İstemihan Genç Türkiye 14 566 1.2× 427 1.5× 151 1.7× 131 1.6× 95 1.5× 57 771
Ankush Sharma India 16 560 1.2× 363 1.3× 26 0.3× 91 1.1× 34 0.5× 72 661
Murat Göl Türkiye 13 653 1.4× 413 1.5× 65 0.7× 66 0.8× 38 0.6× 65 743
Harold R. Chamorro Sweden 16 771 1.7× 547 1.9× 33 0.4× 68 0.8× 45 0.7× 117 892
L.S. Moulin Brazil 7 479 1.1× 230 0.8× 147 1.6× 96 1.2× 17 0.3× 11 567
Chen Yuan United States 13 721 1.6× 512 1.8× 44 0.5× 64 0.8× 29 0.4× 47 844
Yun-Won Jeong South Korea 8 732 1.6× 188 0.7× 75 0.8× 168 2.1× 47 0.7× 11 900
Qiuhua Huang United States 17 1.0k 2.2× 759 2.7× 67 0.7× 77 1.0× 49 0.8× 57 1.2k
Zenan Ling China 10 161 0.4× 101 0.4× 34 0.4× 87 1.1× 35 0.5× 19 344

Countries citing papers authored by Deepjyoti Deka

Since Specialization
Citations

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

Fields of papers citing papers by Deepjyoti Deka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepjyoti Deka

This figure shows the co-authorship network connecting the top 25 collaborators of Deepjyoti Deka. A scholar is included among the top collaborators of Deepjyoti Deka 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 Deepjyoti Deka. Deepjyoti Deka 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.
Tan, Bendong, et al.. (2025). Gaussian processes in power systems: Techniques, applications, and future works. Applied Energy. 402. 126995–126995.
2.
Deka, Deepjyoti, et al.. (2025). NeuroFeat: An adaptive neurological EEG feature engineering approach for improved classification of major depressive disorder. Biomedical Signal Processing and Control. 113. 109031–109031.
3.
Chen, Yize, Deepjyoti Deka, & Yuanyuan Shi. (2024). Contributions of Individual Generators to Nodal Carbon Emissions. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 415–421. 2 indexed citations
4.
Deka, Deepjyoti, et al.. (2023). Topology Learning in Radial Dynamical Systems With Unreliable Data. IEEE Transactions on Control of Network Systems. 10(4). 2010–2021.
5.
Deka, Deepjyoti, Vassilis Kekatos, & Guido Cavraro. (2023). Learning Distribution Grid Topologies: A Tutorial. IEEE Transactions on Smart Grid. 15(1). 999–1013. 34 indexed citations
6.
7.
Deka, Deepjyoti, et al.. (2023). Music Genre Classification Using Convolutional Neural Network. 12742. 1–5. 7 indexed citations
8.
Vorobev, Petr, et al.. (2023). Data-driven stochastic AC-OPF using Gaussian process regression. International Journal of Electrical Power & Energy Systems. 152. 109249–109249. 6 indexed citations
9.
Deka, Deepjyoti, et al.. (2021). Guaranteed Phase & Topology Identification in Three Phase Distribution Grids. IEEE Transactions on Smart Grid. 12(4). 3605–3612. 24 indexed citations
10.
Li, Wenting & Deepjyoti Deka. (2021). Physics-Informed Graph Learning for Robust Fault Location in Distribution Systems.. arXiv (Cornell University). 4 indexed citations
11.
Deka, Deepjyoti, Saurav Talukdar, Michael Chertkov, & Murti V. Salapaka. (2020). Graphical Models in Meshed Distribution Grids: Topology Estimation, Change Detection & Limitations. IEEE Transactions on Smart Grid. 11(5). 4299–4310. 38 indexed citations
12.
Hassan, Ali, Samrat Acharya, Michael Chertkov, Deepjyoti Deka, & Yury Dvorkin. (2020). A Hierarchical Approach to Multienergy Demand Response: From Electricity to Multienergy Applications. Proceedings of the IEEE. 108(9). 1457–1474. 25 indexed citations
13.
Deka, Deepjyoti, et al.. (2020). Learning partially observed meshed distribution grids. 1–6. 4 indexed citations
14.
15.
Deka, Deepjyoti, et al.. (2019). Real-Time Faulted Line Localization and PMU Placement in Power Systems Through Convolutional Neural Networks. IEEE Transactions on Power Systems. 34(6). 4640–4651. 112 indexed citations
16.
Hashmi, Md Umar, Deepjyoti Deka, Ana Bušić, Lucas Pereira, & Scott Backhaus. (2019). Co-optimizing Energy Storage for Prosumers using Convex Relaxations. 1. 1–7. 2 indexed citations
17.
Deka, Deepjyoti, Sriram Vishwanath, & Ross Baldick. (2018). Topological vulnerability of power grids to disasters: Bounds, adversarial attacks and reinforcement. PLoS ONE. 13(10). e0204815–e0204815. 1 indexed citations
18.
Deka, Deepjyoti, et al.. (2018). Learning in Power Distribution Grids under Correlated Injections. 2018 52nd Asilomar Conference on Signals, Systems, and Computers. 7. 1863–1868. 3 indexed citations
19.
Deka, Deepjyoti, Scott Backhaus, & Michael Chertkov. (2016). Learning topology of distribution grids using only terminal node measurements. 205–211. 29 indexed citations
20.
Deka, Deepjyoti, Ross Baldick, & Sriram Vishwanath. (2014). Attacking power grids with secure meters: The case for breakers and Jammers. 646–651. 7 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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