Sanjeevikumar Padmanaban

23.6k total citations · 2 hit papers
702 papers, 16.3k citations indexed

About

Sanjeevikumar Padmanaban is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Automotive Engineering. According to data from OpenAlex, Sanjeevikumar Padmanaban has authored 702 papers receiving a total of 16.3k indexed citations (citations by other indexed papers that have themselves been cited), including 575 papers in Electrical and Electronic Engineering, 268 papers in Control and Systems Engineering and 121 papers in Automotive Engineering. Recurrent topics in Sanjeevikumar Padmanaban's work include Multilevel Inverters and Converters (233 papers), Advanced DC-DC Converters (200 papers) and Microgrid Control and Optimization (198 papers). Sanjeevikumar Padmanaban is often cited by papers focused on Multilevel Inverters and Converters (233 papers), Advanced DC-DC Converters (200 papers) and Microgrid Control and Optimization (198 papers). Sanjeevikumar Padmanaban collaborates with scholars based in Denmark, India and Norway. Sanjeevikumar Padmanaban's co-authors include Frede Blaabjerg, Jens Bo Holm‐Nielsen, Mahajan Sagar Bhaskar, Neeraj Priyadarshi, Lucian Mihet‐Popa, Vigna K. Ramachandaramurthy, Eklas Hossain, Pandav Kiran Maroti, Farooque Azam and Pierluigi Siano and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Journal of The Electrochemical Society.

In The Last Decade

Sanjeevikumar Padmanaban

663 papers receiving 15.5k citations

Hit Papers

A Comprehensive Study of ... 2017 2026 2020 2023 2017 2020 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sanjeevikumar Padmanaban 12.9k 5.8k 3.7k 3.6k 1.4k 702 16.3k
Miadreza Shafie‐khah 14.3k 1.1× 5.6k 1.0× 2.0k 0.5× 2.0k 0.6× 1.6k 1.1× 506 16.5k
Yonghua Song 14.5k 1.1× 5.6k 1.0× 3.1k 0.8× 1.3k 0.3× 1.2k 0.8× 529 17.1k
João P. S. Catalào 24.9k 1.9× 10.2k 1.8× 3.4k 0.9× 3.2k 0.9× 2.5k 1.7× 933 29.4k
M. A. Hannan 14.3k 1.1× 5.0k 0.9× 9.5k 2.6× 1.6k 0.4× 905 0.6× 395 20.3k
Pierluigi Siano 19.0k 1.5× 11.5k 2.0× 1.9k 0.5× 2.2k 0.6× 1.0k 0.7× 716 23.1k
Behnam Mohammadi‐Ivatloo 16.6k 1.3× 7.4k 1.3× 1.7k 0.5× 1.6k 0.5× 971 0.7× 493 19.4k
Haitham Abu‐Rub 15.7k 1.2× 9.1k 1.6× 1.2k 0.3× 2.9k 0.8× 804 0.6× 557 18.6k
Salah Kamel 10.0k 0.8× 5.8k 1.0× 1.3k 0.4× 1.8k 0.5× 1.8k 1.2× 710 13.9k
Tomonobu Senjyu 15.7k 1.2× 8.8k 1.5× 1.8k 0.5× 2.8k 0.8× 2.0k 1.4× 961 19.5k
Goran Štrbac 19.8k 1.5× 8.6k 1.5× 1.5k 0.4× 2.1k 0.6× 633 0.4× 637 22.4k

Countries citing papers authored by Sanjeevikumar Padmanaban

Since Specialization
Citations

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

Fields of papers citing papers by Sanjeevikumar Padmanaban

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanjeevikumar Padmanaban

This figure shows the co-authorship network connecting the top 25 collaborators of Sanjeevikumar Padmanaban. A scholar is included among the top collaborators of Sanjeevikumar Padmanaban 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 Sanjeevikumar Padmanaban. Sanjeevikumar Padmanaban 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.
Das, Vipin, et al.. (2025). AI-driven cybersecurity framework for anomaly detection in power systems. Scientific Reports. 15(1). 35506–35506. 1 indexed citations
3.
Narasipuram, Rajanand Patnaik, et al.. (2025). Digital twin technology in electric and self-navigating vehicles: Readiness, convergence, and future directions. Energy Conversion and Management X. 26. 100949–100949. 6 indexed citations
4.
El-Afifi, Magda I., Bishoy E. Sedhom, Sanjeevikumar Padmanaban, & Abdelfattah A. Eladl. (2024). A review of IoT-enabled smart energy hub systems: Rising, applications, challenges, and future prospects. Renewable energy focus. 51. 100634–100634. 25 indexed citations
5.
Tightiz, Lilia, L. Minh Dang, Sanjeevikumar Padmanaban, & Kyeon Hur. (2024). Metaverse-driven smart grid architecture. Energy Reports. 12. 2014–2025. 9 indexed citations
6.
Louzazni, Mohamed, et al.. (2024). Optimizing photovoltaic parameters with Monte Carlo and parallel resistance adjustment. Energy Conversion and Management X. 25. 100833–100833. 4 indexed citations
8.
Mahesh, A, et al.. (2024). A three-phase coil coupling wireless power transfer pad for electric vehicles battery charging systems. Results in Engineering. 25. 103856–103856. 4 indexed citations
9.
Santra, Subhendu Bikash, et al.. (2024). Simplified Prediction-Based AI-IoT Model for Energy Management Scheme in Standalone PV Powered Greenhouse. IEEE Journal of Emerging and Selected Topics in Industrial Electronics. 6(1). 224–237. 3 indexed citations
10.
Kumar, K. Ramash, et al.. (2024). Design of luo converter with integration of step down converter. Energy Reports. 12. 4266–4278.
11.
Ramesh, L., et al.. (2023). A cost-effective smart metering approach towards affordable deployment strategy. Scientific Reports. 13(1). 19452–19452. 7 indexed citations
12.
Pathak, Pawan Kumar, et al.. (2023). A State-of-the-Art Review on Heat Extraction Methodologies of Photovoltaic/Thermal System. IEEE Access. 11. 49738–49759. 10 indexed citations
13.
Dhanamjayulu, C., et al.. (2023). Multi-Objective Optimization Algorithms for a Hybrid AC/DC Microgrid Using RES: A Comprehensive Review. Electronics. 12(4). 1062–1062. 36 indexed citations
14.
Sampath, Suresh, et al.. (2022). Efficient Multi-Phase Converter for E-Mobility. World Electric Vehicle Journal. 13(4). 67–67. 9 indexed citations
15.
Kumar, K. Ramash, et al.. (2022). Comprehensive Review of KY Converter Topologies, Modulation and Control Approaches With Their Applications. IEEE Access. 10. 20978–20994. 7 indexed citations
16.
Li, Pengcheng, Chunjiang Zhang, Sanjeevikumar Padmanaban, & Zbigniew Leonowicz. (2019). Multiple Modulation Strategy of Flying Capacitor DC/DC Converter. Electronics. 8(7). 774–774. 4 indexed citations
17.
Anuradha, Satyamurthy, et al.. (2018). Comparison of isoxsuprine 10 mg and 40 mg for the management of preterm mothers: A prospective study. International Journal of Clinical Obstetrics and Gynaecology. 2(4). 13–17. 1 indexed citations
18.
Tiwari, Ramji, K. Suresh Kumar, N. Ramesh Babu, Sanjeevikumar Padmanaban, & Patrick Wheeler. (2018). Neural Network Based Maximum Power Point Tracking Control with Quadratic Boost Converter for PMSG—Wind Energy Conversion System. Electronics. 7(2). 20–20. 54 indexed citations
19.
Padmanaban, Sanjeevikumar, et al.. (2009). Identification of voltage collapse point in self excited induction generator. SHILAP Revista de lepidopterología. 1 indexed citations
20.
Padmanaban, Sanjeevikumar, et al.. (2008). Fine tuning of cascaded d-q axis controller for AC-DC-AC converter without DC link capacitor using artificial neural network. SHILAP Revista de lepidopterología. 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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