Bikash Sah

1.9k total citations · 2 hit papers
24 papers, 1.4k citations indexed

About

Bikash Sah is a scholar working on Electrical and Electronic Engineering, Automotive Engineering and Control and Systems Engineering. According to data from OpenAlex, Bikash Sah has authored 24 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Electrical and Electronic Engineering, 12 papers in Automotive Engineering and 7 papers in Control and Systems Engineering. Recurrent topics in Bikash Sah's work include Advanced Battery Technologies Research (12 papers), Electric Vehicles and Infrastructure (6 papers) and Microgrid Control and Optimization (5 papers). Bikash Sah is often cited by papers focused on Advanced Battery Technologies Research (12 papers), Electric Vehicles and Infrastructure (6 papers) and Microgrid Control and Optimization (5 papers). Bikash Sah collaborates with scholars based in India, Germany and United States. Bikash Sah's co-authors include Praveen Kumar, Abhishek Kumar, Xiangning He, Ramesh C. Bansal, Yan Deng, Arvind R. Singh, Sanjay K. Bose, Ramesh Rayudu, Rajendra Kumar and Maâmar Bettayeb and has published in prestigious journals such as Energy & Environmental Science, Renewable and Sustainable Energy Reviews and IEEE Transactions on Industrial Electronics.

In The Last Decade

Bikash Sah

19 papers receiving 1.3k citations

Hit Papers

A review of multi criteria decision making (MCDM) towards... 2016 2026 2019 2022 2016 2025 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bikash Sah India 10 372 343 242 176 172 24 1.4k
Fangtong Liu China 20 403 1.1× 336 1.0× 183 0.8× 109 0.6× 214 1.2× 41 1.2k
Jianli Zhou China 25 550 1.5× 438 1.3× 206 0.9× 146 0.8× 335 1.9× 44 1.5k
Abhishek Kumar India 14 570 1.5× 348 1.0× 310 1.3× 182 1.0× 281 1.6× 32 1.6k
Yiming Ke China 20 513 1.4× 550 1.6× 251 1.0× 145 0.8× 328 1.9× 33 1.6k
Sanjay D. Pohekar India 14 384 1.0× 516 1.5× 334 1.4× 249 1.4× 211 1.2× 25 2.8k
Junhong Zhao China 9 321 0.9× 481 1.4× 264 1.1× 330 1.9× 159 0.9× 39 1.9k
Tsan Sheng Ng Singapore 23 254 0.7× 167 0.5× 401 1.7× 278 1.6× 101 0.6× 90 2.0k
Qingyou Yan China 25 523 1.4× 157 0.5× 272 1.1× 397 2.3× 153 0.9× 67 1.8k
Yao Tao China 20 261 0.7× 296 0.9× 133 0.5× 72 0.4× 151 0.9× 39 1.1k
Seyyed Jalaladdin Hosseini Dehshiri Iran 28 311 0.8× 257 0.7× 309 1.3× 118 0.7× 460 2.7× 50 1.6k

Countries citing papers authored by Bikash Sah

Since Specialization
Citations

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

Fields of papers citing papers by Bikash Sah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bikash Sah

This figure shows the co-authorship network connecting the top 25 collaborators of Bikash Sah. A scholar is included among the top collaborators of Bikash Sah 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 Bikash Sah. Bikash Sah 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.
Sah, Bikash, et al.. (2025). An intelligent battery management system (BMS) with end-edge-cloud connectivity – a perspective. Sustainable Energy & Fuels. 9(5). 1142–1159. 14 indexed citations breakdown →
2.
Kumar, Abhishek, Xiangning He, Yan Deng, et al.. (2025). Earth Grid: Toward a low-carbon energy infrastructure. iScience. 28(11). 113681–113681.
3.
Sah, Bikash, et al.. (2025). Develop a Versatile ECM Framework Capable of Accurately Representing Multiple Cell Types. University of Twente Research Information. 1–6.
4.
Rana, Poonam, et al.. (2025). Design and Development of a Cloud-Assisted Cell Test Bench for Evaluating Cycle Life and Functional Performance of Electric Vehicle Batteries. IEEE Transactions on Industry Applications. 61(5). 7620–7632.
5.
Pandey, S. N., et al.. (2024). Design and Development of AC Impedance Measurement Test Circuit for Lithium-ion Cells. 1773–1778. 1 indexed citations
6.
Sah, Bikash, et al.. (2024). Protocol for conducting advanced cyclic tests in lithium-ion batteries to estimate capacity fade. STAR Protocols. 5(1). 102938–102938. 1 indexed citations
8.
Sah, Bikash, et al.. (2024). Decoding range variability in electric vehicles: Unravelling the influence of cell-to-cell parameter variation and pack configuration. eTransportation. 20. 100329–100329. 4 indexed citations
9.
Sah, Bikash, et al.. (2024). Comparison and Selection of Topology for Three Phase PV Inverters based on Power GaN Devices. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1–8.
10.
Liu, Chang, et al.. (2024). Power Flow Control Strategy Based on Space Vector Modulation of a Three-Port Converter. IEEE Journal of Emerging and Selected Topics in Power Electronics. 12(3). 2697–2706. 2 indexed citations
11.
Sah, Bikash, et al.. (2023). Unraveling capacity fading in lithium-ion batteries using advanced cyclic tests: A real-world approach. iScience. 26(10). 107770–107770. 13 indexed citations
12.
Sah, Bikash & Praveen Kumar. (2023). An insight into battery degradation for the proposal of a battery-friendly charging technique. Energy Advances. 2(9). 1429–1446. 7 indexed citations
13.
Sah, Bikash & Praveen Kumar. (2023). Charger Integrated Coestimation of Parameters and States of Battery. IEEE Transactions on Power Electronics. 38(7). 7923–7932. 10 indexed citations
14.
Sah, Bikash, Praveen Kumar, & Sanjay K. Bose. (2020). A Fuzzy Logic and Artificial Neural Network-Based Intelligent Controller for a Vehicle-to-Grid System. IEEE Systems Journal. 15(3). 3301–3311. 33 indexed citations
15.
Sah, Bikash, et al.. (2020). Impact of V2G Communication on Grid Node Voltage at Charging Station in a Smart Grid Scenario. IEEE Systems Journal. 15(3). 3749–3758. 21 indexed citations
16.
Sah, Bikash, et al.. (2018). Impact of Sampling in the Operation of Vehicle to Grid and Its Mitigation. IEEE Transactions on Industrial Informatics. 15(7). 3923–3933. 23 indexed citations
17.
Kumar, Abhishek, Bikash Sah, Yan Deng, et al.. (2017). Application of multi‐criteria decision analysis tool for design of a sustainable micro‐grid for a remote village in the Himalayas. The Journal of Engineering. 2017(13). 2108–2113. 16 indexed citations
18.
Kumar, Abhishek, Bikash Sah, Arvind R. Singh, et al.. (2016). A review of multi criteria decision making (MCDM) towards sustainable renewable energy development. Renewable and Sustainable Energy Reviews. 69. 596–609. 1182 indexed citations breakdown →
19.
Sah, Bikash, et al.. (2014). Study of unsymmetrical faults in power system using Morlet wavelet technique. 512. 1–4. 1 indexed citations
20.
Sah, Bikash, et al.. (2014). A Hybrid Micro Grid for Remote Village in Himalayas. 8.43–8.43. 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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