Dipankar Chanda

493 total citations
16 papers, 394 citations indexed

About

Dipankar Chanda is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Dipankar Chanda has authored 16 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Electrical and Electronic Engineering, 5 papers in Control and Systems Engineering and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Dipankar Chanda's work include Image and Signal Denoising Methods (4 papers), EEG and Brain-Computer Interfaces (4 papers) and Power Systems Fault Detection (4 papers). Dipankar Chanda is often cited by papers focused on Image and Signal Denoising Methods (4 papers), EEG and Brain-Computer Interfaces (4 papers) and Power Systems Fault Detection (4 papers). Dipankar Chanda collaborates with scholars based in India. Dipankar Chanda's co-authors include N. K. Kishore, Anubhav Sarmah, A.K. Sinha, K. Visweswara Rao and Prasenjit Mahato and has published in prestigious journals such as Fuel, Energy & Fuels and IEEE Transactions on Power Delivery.

In The Last Decade

Dipankar Chanda

14 papers receiving 364 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dipankar Chanda India 9 184 172 151 135 97 16 394
Jan Winkler Germany 9 90 0.5× 50 0.3× 55 0.4× 41 0.3× 58 0.6× 31 283
Zhongyuan Wang China 11 62 0.3× 90 0.5× 9 0.1× 20 0.1× 14 0.1× 48 341
Abdulilah Mohammad Mayet Saudi Arabia 11 57 0.3× 58 0.3× 34 0.2× 30 0.2× 85 0.9× 55 315
Baomin Li China 11 230 1.3× 40 0.2× 27 0.2× 19 0.1× 21 0.2× 32 474
Norasage Pattanadech Thailand 12 62 0.3× 441 2.6× 18 0.1× 11 0.1× 10 0.1× 140 505
Omar Kherif Algeria 7 96 0.5× 223 1.3× 7 0.0× 15 0.1× 8 0.1× 32 309
Youcef Benmahamed Algeria 9 107 0.6× 231 1.3× 13 0.1× 7 0.1× 13 0.1× 16 320
Haiquan Li China 11 143 0.8× 7 0.0× 10 0.1× 17 0.1× 19 0.2× 38 343
Rasmus Fjordbak Nielsen Denmark 9 166 0.9× 76 0.4× 8 0.1× 16 0.1× 26 0.3× 11 337
Thanapong Suwanasri Thailand 11 122 0.7× 329 1.9× 8 0.1× 3 0.0× 26 0.3× 77 424

Countries citing papers authored by Dipankar Chanda

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Dipankar Chanda

This figure shows the co-authorship network connecting the top 25 collaborators of Dipankar Chanda. A scholar is included among the top collaborators of Dipankar Chanda 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 Dipankar Chanda. Dipankar Chanda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
2.
Chanda, Dipankar, et al.. (2025). A Comprehensive Review and Future Prospects of Lie Detection Using Machine Learning. Communications in computer and information science. 64–77.
3.
Chanda, Dipankar, et al.. (2024). Performance Analysis of KNN, Naïve Bayes, and Extreme Learning Machine Techniques on EEG Signals for Detection of Parkinson's Disease. International Journal of experimental research and review. 43. 32–41. 3 indexed citations
4.
Chanda, Dipankar, et al.. (2023). Statistical feature-based EEG signals classification using ANN and SVM classifiers for Parkinson’s disease detection. International Journal of experimental research and review. 31(Spl Volume). 141–149. 9 indexed citations
5.
Chanda, Dipankar, et al.. (2021). Music Emotion Recognition in Assamese Songs using MFCC Features and MLP Classifier. 2021 International Conference on Intelligent Technologies (CONIT). 1–5. 7 indexed citations
6.
Chanda, Dipankar, et al.. (2020). Selection of Appropriate Statistical Features of EEG Signals for Detection of Parkinson’s Disease. 761–764. 9 indexed citations
7.
Chanda, Dipankar, et al.. (2019). Selection of an appropriate denoising technique for EEG signals of Parkinson’s disease patients. 91–97. 1 indexed citations
8.
Chanda, Dipankar, et al.. (2014). A Comparative Study of Wavelet Transform Technique & FFT in the Estimation of Power System Harmonics and Interharmonics. 3(7). 1 indexed citations
9.
Chanda, Dipankar, et al.. (2004). Application of wavelet multiresolution analysis for identification and classification of faults on transmission lines. Electric Power Systems Research. 73(3). 323–333. 46 indexed citations
10.
Chanda, Dipankar, et al.. (2004). Application of wavelet multiresolution analysis for classification of faults on transmission lines. 4. 1464–1469. 35 indexed citations
11.
Chanda, Dipankar, N. K. Kishore, & A.K. Sinha. (2004). A Wavelet Multiresolution-Based Analysis for Location of the Point of Strike of a Lightning Overvoltage on a Transmission Line. IEEE Transactions on Power Delivery. 19(4). 1727–1733. 27 indexed citations
12.
Chanda, Dipankar, N. K. Kishore, & A.K. Sinha. (2004). Identification and Classification of Faults on Transmission Lines Using Wavelet Multiresolution Analysis. Electric Power Components and Systems. 32(4). 391–405. 9 indexed citations
13.
Chanda, Dipankar, et al.. (2002). A wavelet multiresolution analysis for location of faults on transmission lines. International Journal of Electrical Power & Energy Systems. 25(1). 59–69. 79 indexed citations
14.
Chanda, Dipankar, et al.. (1998). Combined effect of asphaltenes and flow improvers on the rheological behaviour of Indian waxy crude oil. Fuel. 77(11). 1163–1167. 104 indexed citations
15.
Chanda, Dipankar, et al.. (1996). Alkyl Fumarate−Vinyl Acetate Copolymer as Flow Improver for High Waxy Indian Crude Oils. Energy & Fuels. 10(3). 844–848. 56 indexed citations
16.
Mahato, Prasenjit, et al.. (1993). Free-radical polymerization of lauryl methacrylate by differential scanning calorimetry. Thermochimica Acta. 222(2). 265–271. 8 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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