Dipankar Chanda
Impact in
- Analytical Chemistry top 5%
- Petroleum Processing and Analysis
- Ocean Engineering top 5%
- Enhanced Oil Recovery Techniques
Papers in
-
- Smart Grid and Power Systems 3
- Power Transformer Diagnostics and Insulation 2
-
- Power Systems Fault Detection 4
- Co-authors
- N. K. Kishore (5 shared papers)Anubhav Sarmah (1 shared paper)A.K. Sinha (2 shared papers)K. Visweswara Rao (1 shared paper)Prasenjit Mahato (1 shared paper)
- Journals
- International Journal of Electrical Power & Energy Systems (1 paper)Electric Power Systems Research (1 paper)Energy & Fuels (1 paper)Thermochimica Acta (1 paper)IEEE Transactions on Power Delivery (1 paper)
- Partner nations
- India
In The Last Decade
Dipankar Chanda
14 papers receiving 364 citations
Peers
Comparison fields: 5 of 62
- Analytical Chemistry 151
- Ocean Engineering 135
- Control and Systems Engineering 184
- Mechanics of Materials 97
- Electrical and Electronic Engineering 172
Countries citing papers authored by Dipankar Chanda
This map shows the geographic impact of Dipankar Chanda'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 Dipankar Chanda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dipankar Chanda more than expected).
Fields of papers citing papers by Dipankar Chanda
This network shows the impact of papers produced by Dipankar Chanda. 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 Dipankar Chanda. The network helps show where Dipankar Chanda may publish in the future.
Co-authors
The 5 scholars most cited alongside Dipankar Chanda, 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 | 1998 | 104 | |
| 2 | 2002 | 79 | |
| 3 | 1996 | 56 | |
| 4 | 2004 | 46 | |
| 5 | 2004 | 35 | |
| 6 | 2004 | 27 | |
| 7 | 2023 | 9 | |
| 8 | 2020 | 9 | |
| 9 | 2004 | 9 | |
| 10 | 1993 | 8 | |
| 11 | 2021 | 7 | |
| 12 | 2024 | 3 | |
| 13 | A Comparative Study of Wavelet Transform Technique & FFT in the Estimation of Power System Harmonics and Interharmonics | 2014 | 1 |
| 14 | 2019 | 1 | |
| 15 | 2025 | 0 | |
| 16 | 2025 | 0 |
About Dipankar Chanda
Dipankar Chanda is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Computer Vision and Pattern Recognition, Cognitive Neuroscience and Signal Processing, having authored 16 papers that have together received 394 indexed citations. Recurring topics across this work include Power Systems Fault Detection (4 papers), EEG and Brain-Computer Interfaces (4 papers), Image and Signal Denoising Methods (4 papers), Smart Grid and Power Systems (3 papers), Power Transformer Diagnostics and Insulation (2 papers), Petroleum Processing and Analysis (2 papers), Blind Source Separation Techniques (2 papers) and Muscle activation and electromyography studies (2 papers). The work is most often cited by research in Analytical Chemistry (151 citations), Ocean Engineering (135 citations), Control and Systems Engineering (184 citations), Mechanics of Materials (97 citations) and Electrical and Electronic Engineering (172 citations). Dipankar Chanda has collaborated with scholars based in India. Frequent co-authors include N. K. Kishore, Anubhav Sarmah, A.K. Sinha, K. Visweswara Rao and Prasenjit Mahato. Their work appears in journals such as International Journal of Electrical Power & Energy Systems, Electric Power Systems Research, Energy & Fuels, Thermochimica Acta and IEEE Transactions on Power Delivery.
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.