Sachin K. Jain
-
- Microgrid Control and Optimization 9
-
- Power Quality and Harmonics 17
- Energy Load and Power Forecasting 11
- Power System Optimization and Stability 11
- Advanced Electrical Measurement Techniques 7
- Smart Grid Energy Management 7
- Advanced DC-DC Converters 6
- Signal Processing top 10%
-
- Image and Signal Denoising Methods 7
- Co-authors
- Sneha SinghS. N. SinghPrabin Kumar PadhyPreeti JainJai Govind SinghSaikat ChakrabartiD. SaxenaAnurag Jain
- Cited by
- Control and Systems EngineeringElectrical and Electronic EngineeringEnergy Engineering and Power Technology
- Journals
- IEEE Transactions on Industrial Electronics (2 papers)The Journal of the Acoustical Society of America (2 papers)Energy (1 paper)
- Partner nations
- IndiaThailandUnited States
In The Last Decade
Sachin K. Jain
56 papers receiving 887 citations
Peers
Comparison fields: 5 of 61
- Control and Systems Engineering 387
- Electrical and Electronic Engineering 777
- Energy Engineering and Power Technology 38
- Electronic, Optical and Magnetic Materials 90
- Signal Processing 52
Countries citing papers authored by Sachin K. Jain
This map shows the geographic impact of Sachin K. Jain'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 Sachin K. Jain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sachin K. Jain more than expected).
Fields of papers citing papers by Sachin K. Jain
This network shows the impact of papers produced by Sachin K. Jain. 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 Sachin K. Jain. The network helps show where Sachin K. Jain may publish in the future.
Co-authorship network
The 22 scholars most cited alongside Sachin K. Jain, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 3 | |
| 5 | 2023 | 1 | |
| 6 | 2021 | 8 | |
| 7 | 2020 | 5 | |
| 8 | 2019 | 2 | |
| 9 | 2017 | 8 | |
| 10 | 2017 | 0 | |
| 11 | 2016 | 0 | |
| 12 | 2015 | 13 | |
| 13 | 2015 | 1 | |
| 14 | 2013 | 5 | |
| 15 | 2013 | 16 | |
| 16 | 2013 | 89 | |
| 17 | 2012 | 112 | |
| 18 | 2012 | 0 | |
| 19 | Brain Targeted Delivery Of Amino Acid Conjugates Of Dopamine | 2004 | 1 |
| 20 | 2002 | 0 |
About Sachin K. Jain
Sachin K. Jain is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Automotive Engineering, having authored 68 papers that have together received 926 indexed citations. Recurring topics across this work include Power Quality and Harmonics (17 papers), Energy Load and Power Forecasting (11 papers), Power System Optimization and Stability (11 papers), Microgrid Control and Optimization (9 papers), Advanced Electrical Measurement Techniques (7 papers), Image and Signal Denoising Methods (7 papers), Smart Grid Energy Management (7 papers) and Advanced DC-DC Converters (6 papers). The work is most often cited by research in Control and Systems Engineering (387 citations), Electrical and Electronic Engineering (777 citations) and Energy Engineering and Power Technology (38 citations). Sachin K. Jain has collaborated with scholars based in India, Thailand and United States. Frequent co-authors include Sneha Singh, S. N. Singh, Prabin Kumar Padhy, Preeti Jain, Jai Govind Singh, Saikat Chakrabarti, D. Saxena, Anurag Jain, Atul Kumar Tiwari and Manoja Kumar Das. Their work appears in journals such as IEEE Transactions on Industrial Electronics, The Journal of the Acoustical Society of America and Energy.
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.