Mukesh Singh

3.4k total citations · 2 hit papers
71 papers, 2.7k citations indexed

About

Mukesh Singh is a scholar working on Electrical and Electronic Engineering, Automotive Engineering and Control and Systems Engineering. According to data from OpenAlex, Mukesh Singh has authored 71 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Electrical and Electronic Engineering, 42 papers in Automotive Engineering and 30 papers in Control and Systems Engineering. Recurrent topics in Mukesh Singh's work include Electric Vehicles and Infrastructure (45 papers), Advanced Battery Technologies Research (40 papers) and Smart Grid Energy Management (29 papers). Mukesh Singh is often cited by papers focused on Electric Vehicles and Infrastructure (45 papers), Advanced Battery Technologies Research (40 papers) and Smart Grid Energy Management (29 papers). Mukesh Singh collaborates with scholars based in India, Australia and United States. Mukesh Singh's co-authors include Neeraj Kumar, Shakti Singh, Praveen Kumar, S.C. Kaushik, Kuljeet Kaur, Anish Jindal, Indrani Kar, Sukumar Mishra, Amit Dua and Kannan Thirugnanam and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Scientific Reports and IEEE Transactions on Industrial Electronics.

In The Last Decade

Mukesh Singh

67 papers receiving 2.6k citations

Hit Papers

Decision Tree and SVM-Based Data Analytics for Theft Dete... 2016 2026 2019 2022 2016 2016 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mukesh Singh India 28 2.2k 1.1k 1.0k 404 253 71 2.7k
Hany E. Z. Farag Canada 31 3.0k 1.3× 849 0.8× 1.8k 1.8× 717 1.8× 127 0.5× 125 3.4k
Ameena Saad Al‐Sumaiti United Arab Emirates 32 2.3k 1.0× 401 0.4× 1.2k 1.2× 328 0.8× 139 0.5× 179 3.1k
Mostafa F. Shaaban United Arab Emirates 29 2.9k 1.3× 1.1k 1.1× 1.5k 1.5× 244 0.6× 78 0.3× 183 3.3k
Hasan Mehrjerdi Qatar 37 3.0k 1.4× 794 0.7× 1.9k 1.9× 818 2.0× 264 1.0× 161 4.0k
Furong Li United Kingdom 36 3.6k 1.6× 518 0.5× 1.5k 1.5× 302 0.7× 92 0.4× 160 3.9k
Abdollah Kavousi‐Fard Iran 32 2.4k 1.1× 695 0.7× 1.4k 1.4× 204 0.5× 52 0.2× 52 3.1k
Henrik W. Bindner Denmark 33 2.8k 1.3× 568 0.5× 1.4k 1.4× 490 1.2× 148 0.6× 168 3.4k
Mohammad Sadegh Javadi Portugal 38 3.9k 1.8× 356 0.3× 2.1k 2.0× 595 1.5× 122 0.5× 168 4.4k
Tarek AlSkaif Netherlands 27 2.1k 1.0× 532 0.5× 788 0.8× 163 0.4× 132 0.5× 77 2.6k
Ramazan Bayındır Türkiye 27 2.7k 1.2× 426 0.4× 1.8k 1.8× 305 0.8× 78 0.3× 224 3.5k

Countries citing papers authored by Mukesh Singh

Since Specialization
Citations

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

Fields of papers citing papers by Mukesh Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mukesh Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Mukesh Singh. A scholar is included among the top collaborators of Mukesh Singh 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 Mukesh Singh. Mukesh Singh 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
2.
Singh, Mukesh, et al.. (2025). An intelligent fault detection (IFD) system for lithium-ion battery using machine learning approach. Scientific Reports. 15(1). 32190–32190. 1 indexed citations
3.
Singh, Mukesh, et al.. (2024). Dynamic scheduling of electricity demand for decentralized EV charging systems. Sustainable Energy Grids and Networks. 39. 101467–101467. 9 indexed citations
4.
Singh, Mukesh, et al.. (2024). A novel energy management of public charging stations using attention-based deep learning model. Electric Power Systems Research. 238. 111090–111090. 6 indexed citations
5.
Singh, Mukesh, et al.. (2024). Analysing the Impact of Social Influence on Electric Vehicle Adoption: A Deep Learning-Based Simulation Study in Jharkhand, India. International Journal of Computational and Experimental Science and Engineering. 10(4). 8 indexed citations
6.
Singh, Mukesh, et al.. (2023). Implementation of DC net metering scheme in off-board EV charging systems with a time of usage capability. Electric Power Systems Research. 224. 109690–109690. 1 indexed citations
8.
Singh, Mukesh, et al.. (2023). Time-of-Use tariff rates estimation for optimal demand-side management using electric vehicles. Energy. 273. 127243–127243. 38 indexed citations
9.
Singh, Mukesh, et al.. (2023). Short Term Load Forecasting for Smart Grids Using Apache Spark and a Modified Transformer Model. Computing and Informatics. 42(1). 75–97. 3 indexed citations
10.
Jindal, Anish, Neeraj Kumar, & Mukesh Singh. (2018). A unified framework for big data acquisition, storage, and analytics for demand response management in smart cities. Future Generation Computer Systems. 108. 921–934. 50 indexed citations
11.
Aujla, Gagangeet Singh, Neeraj Kumar, Mukesh Singh, & Albert Y. Zomaya. (2018). Energy trading with dynamic pricing for electric vehicles in a smart city environment. Journal of Parallel and Distributed Computing. 127. 169–183. 54 indexed citations
12.
Kaur, Kuljeet, Mukesh Singh, & Neeraj Kumar. (2017). Multiobjective Optimization for Frequency Support Using Electric Vehicles: An Aggregator-Based Hierarchical Control Mechanism. IEEE Systems Journal. 13(1). 771–782. 58 indexed citations
13.
Dua, Amit, et al.. (2017). Fuzzy rough set based energy management system for self-sustainable smart city. Renewable and Sustainable Energy Reviews. 82. 3633–3644. 22 indexed citations
14.
Singh, Mukesh, Praveen Kumar, Indrani Kar, & Neeraj Kumar. (2016). A real-time smart charging station for EVs designed for V2G scenario and its coordination with renewable energy sources. 1–5. 17 indexed citations
15.
Singh, Shakti, Mukesh Singh, & S.C. Kaushik. (2016). Optimal power scheduling of renewable energy systems in microgrids using distributed energy storage system. IET Renewable Power Generation. 10(9). 1328–1339. 54 indexed citations
16.
Jindal, Anish, et al.. (2015). A novel smart meter for better control over devices including electric vehicles and to enable smart use of power in smart home. Durham Research Online (Durham University). 1–6. 2 indexed citations
17.
Kumar, Neeraj, Mukesh Singh, Sherali Zeadally, Joel J. P. C. Rodrigues, & Seungmin Rho. (2015). Cloud-Assisted Context-Aware Vehicular Cyber-Physical System for PHEVs in Smart Grid. IEEE Systems Journal. 11(1). 140–151. 22 indexed citations
18.
Das, Rajib, et al.. (2013). Mathematical Modeling for Economic Evaluation of Electric Vehicle to Smart Grid Interaction. IEEE Transactions on Smart Grid. 5(2). 712–721. 56 indexed citations
19.
Singh, Mukesh, Praveen Kumar, & Indrani Kar. (2012). Implementation of Vehicle to Grid Infrastructure Using Fuzzy Logic Controller. IEEE Transactions on Smart Grid. 3(1). 565–577. 181 indexed citations
20.
Singh, Mukesh, Praveen Kumar, & Indrani Kar. (2012). Coordination of multi charging station for Electric Vehicles and its utilization for vehicle to Grid scenario. 1–7. 3 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026