S. Mohan Krishna

403 total citations
28 papers, 253 citations indexed

About

S. Mohan Krishna is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Automotive Engineering. According to data from OpenAlex, S. Mohan Krishna has authored 28 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Electrical and Electronic Engineering, 11 papers in Control and Systems Engineering and 10 papers in Automotive Engineering. Recurrent topics in S. Mohan Krishna's work include Sensorless Control of Electric Motors (10 papers), Electric Motor Design and Analysis (9 papers) and Advanced Battery Technologies Research (7 papers). S. Mohan Krishna is often cited by papers focused on Sensorless Control of Electric Motors (10 papers), Electric Motor Design and Analysis (9 papers) and Advanced Battery Technologies Research (7 papers). S. Mohan Krishna collaborates with scholars based in India, Malaysia and Canada. S. Mohan Krishna's co-authors include J. L. Febin Daya, S. Denis Ashok, Sandeep Narayanan, K. Deepa, Sanjeevikumar Padmanaban, Nitin Malik, Saurav Raj, Prajof Prabhakaran, Sheila Mahapatra and S. Narayanan and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Energies.

In The Last Decade

S. Mohan Krishna

28 papers receiving 247 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Mohan Krishna India 10 161 116 109 41 14 28 253
Kambiz Tehrani France 10 221 1.4× 168 1.4× 62 0.6× 28 0.7× 15 1.1× 26 301
Mohamad Alzayed Canada 11 196 1.2× 127 1.1× 74 0.7× 22 0.5× 13 0.9× 30 275
Ling Lyu China 8 284 1.8× 209 1.8× 111 1.0× 36 0.9× 24 1.7× 14 382
Saravanakumar Thangavel India 6 132 0.8× 35 0.3× 81 0.7× 32 0.8× 22 1.6× 7 209
Sasan Azad Iran 8 218 1.4× 142 1.2× 84 0.8× 15 0.4× 18 1.3× 22 271
Alexandre Korobkine Canada 4 312 1.9× 88 0.8× 229 2.1× 43 1.0× 12 0.9× 6 391
Peng Luo China 8 276 1.7× 70 0.6× 126 1.2× 29 0.7× 6 0.4× 37 322
Heran Shen United States 8 137 0.9× 134 1.2× 255 2.3× 20 0.5× 7 0.5× 30 315
P. V. Manitha India 11 271 1.7× 130 1.1× 91 0.8× 24 0.6× 7 0.5× 86 365
Alireza Tashakori Abkenar Australia 9 210 1.3× 94 0.8× 65 0.6× 27 0.7× 9 0.6× 16 273

Countries citing papers authored by S. Mohan Krishna

Since Specialization
Citations

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

Fields of papers citing papers by S. Mohan Krishna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Mohan Krishna. 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 S. Mohan Krishna. The network helps show where S. Mohan Krishna may publish in the future.

Co-authorship network of co-authors of S. Mohan Krishna

This figure shows the co-authorship network connecting the top 25 collaborators of S. Mohan Krishna. A scholar is included among the top collaborators of S. Mohan Krishna 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 S. Mohan Krishna. S. Mohan Krishna 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.
Krishna, S. Mohan, et al.. (2025). Kalman Filter — Machine learning fusion for core temperature estimation in Li-ion batteries. Journal of Energy Storage. 113. 115656–115656. 2 indexed citations
2.
Krishna, S. Mohan, et al.. (2024). Estimation of state of charge considering impact of vibrations on traction battery pack. Electrical Engineering. 106(2). 1327–1338. 9 indexed citations
3.
Mahapatra, Sheila, et al.. (2023). The Internet of Energy. Apple Academic Press eBooks. 1 indexed citations
4.
Krishna, S. Mohan, S. Denis Ashok, & S. Narayanan. (2023). ANFIS-based active front steering system for reducing yaw disturbance of a vehicle using steer-by-wire system. International Journal of Dynamics and Control. 12(4). 982–991. 3 indexed citations
5.
6.
Krishna, S. Mohan, et al.. (2023). Data transmission using secure hybrid techniques for smart energy metering devices. SHILAP Revista de lepidopterología. 4. 100134–100134. 8 indexed citations
7.
Daya, J. L. Febin, et al.. (2022). Role of Power Converters in Inductive Power Transfer System for Public Transport—A Comprehensive Review. Symmetry. 14(3). 508–508. 4 indexed citations
8.
Daya, J. L. Febin, et al.. (2021). DC-link current based position estimation and speed sensorless control of a BLDC motor used for electric vehicle applications. International Journal of Emerging Electric Power Systems. 22(3). 269–284. 7 indexed citations
9.
Daya, J. L. Febin, et al.. (2021). A novel non-isolated dual-input DC-DC boost converter for hybrid electric vehicle application. International Journal of Emerging Electric Power Systems. 22(2). 191–204. 13 indexed citations
10.
Krishna, S. Mohan, et al.. (2021). Modeling of Average Current in Non-Ideal Buck and Synchronous Buck Converters for Low Power Application. Electronics. 10(21). 2672–2672. 4 indexed citations
11.
Mahapatra, Sheila, Nitin Malik, Saurav Raj, & S. Mohan Krishna. (2021). Constrained optimal power flow and optimal TCSC allocation using hybrid cuckoo search and ant lion optimizer. International Journal of Systems Assurance Engineering and Management. 13(2). 721–734. 18 indexed citations
12.
Prabhakaran, Prajof, et al.. (2021). A Novel PR Controller with Improved Performance for Single-Phase UPS Inverter. 1–6. 2 indexed citations
13.
Krishna, S. Mohan, et al.. (2021). Technological Perspective of Cyber Secure Smart Inverters Used in Power Distribution System: State of the Art Review. Applied Sciences. 11(18). 8780–8780. 8 indexed citations
14.
Krishna, S. Mohan, J. L. Febin Daya, Umashankar Subramaniam, et al.. (2020). Real-Time Processor-in-Loop Investigation of a Modified Non-Linear State Observer Using Sliding Modes for Speed Sensorless Induction Motor Drive in Electric Vehicles. Energies. 13(16). 4212–4212. 13 indexed citations
15.
Krishna, S. Mohan, et al.. (2019). Bidirectional Converter Using Fuzzy for Battery Charging of Electric Vehicle. 1–6. 22 indexed citations
16.
Krishna, S. Mohan & J. L. Febin Daya. (2015). Effect of Parametric Variations and Voltage Unbalance on Adaptive Speed Estimation Schemes for Speed Sensorless Induction Motor Drives. International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering. 6(1). 77–77. 5 indexed citations
17.
Krishna, S. Mohan & J. L. Febin Daya. (2015). Machine model based Speed Estimation Schemes for Speed Encoderless Induction Motor Drives: A Survey. Bulletin of Electrical Engineering and Informatics. 4(1). 7–17. 5 indexed citations
18.
Krishna, S. Mohan, Sandeep Narayanan, & S. Denis Ashok. (2014). Fuzzy logic based yaw stability control for active front steering of a vehicle. Journal of Mechanical Science and Technology. 28(12). 5169–5174. 36 indexed citations
19.
Krishna, S. Mohan & J. L. Febin Daya. (2014). Dynamic performance analysis of MRAS based speed estimators for speed sensorless induction motor drives. 1–6. 8 indexed citations
20.
Krishna, S. Mohan. (2013). Types of Power Quality Disturbances on AC Electric Traction Drives: A Survey. 9(2). 191–196. 2 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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