Monisha Chakraborty

1.1k total citations
61 papers, 718 citations indexed

About

Monisha Chakraborty is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Signal Processing. According to data from OpenAlex, Monisha Chakraborty has authored 61 papers receiving a total of 718 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cognitive Neuroscience, 12 papers in Biomedical Engineering and 10 papers in Signal Processing. Recurrent topics in Monisha Chakraborty's work include EEG and Brain-Computer Interfaces (13 papers), Blind Source Separation Techniques (8 papers) and Fractal and DNA sequence analysis (7 papers). Monisha Chakraborty is often cited by papers focused on EEG and Brain-Computer Interfaces (13 papers), Blind Source Separation Techniques (8 papers) and Fractal and DNA sequence analysis (7 papers). Monisha Chakraborty collaborates with scholars based in India, United States and Ireland. Monisha Chakraborty's co-authors include Debjani Mitra, Frank A. Manthey, Jui Chakraborty, Shreya Das, Rituparna Acharya, M.S.J. Hashmi, Arnab Bhattacharjee, Suman Saha, Kirk Howatt and William A. Berzonsky and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Journal of the Science of Food and Agriculture and Applied Clay Science.

In The Last Decade

Monisha Chakraborty

54 papers receiving 676 citations

Peers

Monisha Chakraborty

CCM

Chao Han China

Lifang Zhou China

Yingdong Wang China

Jing Shang China

Samaneh Kouchaki United Kingdom

Shun‐Chi Wu Taiwan

Xiaoyan Deng China

Ruichen Liu China

Xiaohua Wang China

Carlos Medina Colombia

Chao Han China

Monisha Chakraborty

175 ×1.2

90 ×0.8

138 ×1.6

CCM

64 ×0.8

29 ×0.4

Citations per year, relative to Monisha Chakraborty Monisha Chakraborty (= 1×) peers Chao Han

Countries citing papers authored by Monisha Chakraborty

Since Specialization

Citations

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

Fields of papers citing papers by Monisha Chakraborty

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Monisha Chakraborty

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

All Works

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20 of 20 papers shown

Chakraborty, Monisha, et al.. (2025). Optimal multimodal feature combination and classifier selection for music-based EEG signal analysis. Computers in Biology and Medicine. 196(Pt A). 110696–110696.

Chakraborty, Monisha, et al.. (2024). Analyzing the Effect of Contrast Enhancement Techniques on Chest X-Ray Classification Using Deep Learners. 260–265.

Chakraborty, Monisha, et al.. (2023). Multiscale entropy analysis of single lead ECG and ECG derived respiration for AI based prediction of sleep apnea events. Biomedical Signal Processing and Control. 87. 105444–105444. 4 indexed citations

Chakraborty, Monisha, et al.. (2021). Fractal Dimension and lacunarity based microscopic image texture characterization of coated and non-coated metallic substrates. Advances in Materials and Processing Technologies. 8(2). 2244–2258. 1 indexed citations

Chakraborty, Monisha, et al.. (2021). A computationally efficient automated seizure detection method based on the novel idea of multiscale spectral features. Biomedical Signal Processing and Control. 70. 102990–102990. 9 indexed citations

Chakraborty, Monisha, et al.. (2020). A python based support vector regression model for prediction of COVID19 cases in India. Chaos Solitons & Fractals. 138. 109942–109942. 124 indexed citations

Chakraborty, Monisha, et al.. (2020). A Novel Methodology to study the Cognitive Load Induced EEG Complexity Changes: Chaos, Fractal and Entropy based approach. Biomedical Signal Processing and Control. 64. 102277–102277. 32 indexed citations

Chakraborty, Monisha, et al.. (2020). A Python Based Support Vector Regression Model for Prediction of COVID19 Cases in India. SSRN Electronic Journal. 9 indexed citations

Chakraborty, Monisha, et al.. (2020). Dispersion Entropy for the automated detection of epileptic seizures. 64. 204–207. 1 indexed citations

10.

Chakraborty, Monisha & M.S.J. Hashmi. (2019). High energy radiation detection materials: fabrication and applications. Advances in Materials and Processing Technologies. 5(2). 279–294. 2 indexed citations

11.

Chakraborty, Monisha, et al.. (2019). Effects of Indian Classical Music on Heart Rate Variability. 23. 1–4. 2 indexed citations

12.

Chakraborty, Monisha & M.S.J. Hashmi. (2018). Wonder material graphene: properties, synthesis and practical applications. Advances in Materials and Processing Technologies. 4(4). 573–602. 17 indexed citations

13.

Chakraborty, Monisha. (2018). FRAGRANCE AS A SOURCE OF WELL-BEING: FRACTAL STUDY USING ECG TIME SERIES. International Journal of Advanced Research in Computer Science. 9(2). 244–246. 1 indexed citations

14.

Chakraborty, Monisha & Dipak Ghosh. (2017). Quantitative Assessment of Arrhythmia Using Non-linear Approach: A Non-invasive Prognostic Tool. Journal of The Institution of Engineers (India) Series B. 99(2). 167–172. 5 indexed citations

15.

Chakraborty, Monisha, et al.. (2017). Air-annealed growth and characterization of Cd1-xZnxTe thin films grown from CdTe/ZnTe/CdTe multi-stacks. Vacuum. 149. 156–167. 8 indexed citations

16.

Chakraborty, Monisha & M.S.J. Hashmi. (2017). International research effort on graphene over the past 10 years. Advances in Materials and Processing Technologies. 4(1). 166–182. 1 indexed citations

17.

Chakraborty, Monisha, et al.. (2017). Performance analysis of FIR and IIR filters for ECG signal denoising based on SNR. 90–97. 22 indexed citations

18.

Chakraborty, Monisha, et al.. (2012). Exudates, retinal and statistical features detection from diabetic retinopathy and normal fundus images: An automated comparative approach. 9. 1–6. 8 indexed citations

19.

Chakraborty, Monisha, et al.. (2012). Brain tumor detection from MR images: Image processing, slicing and PCA based reconstruction. 97–101. 6 indexed citations

20.

Chakraborty, Monisha, et al.. (1985). Extractable protein from tobacco nicotiana tabacum and aspects of its nutritional quality. 11(1). 19–28.

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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