Sakyajit Bhattacharya

480 total citations
25 papers, 286 citations indexed

About

Sakyajit Bhattacharya is a scholar working on Cardiology and Cardiovascular Medicine, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Sakyajit Bhattacharya has authored 25 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cardiology and Cardiovascular Medicine, 7 papers in Artificial Intelligence and 6 papers in Biomedical Engineering. Recurrent topics in Sakyajit Bhattacharya's work include Heart Rate Variability and Autonomic Control (9 papers), Non-Invasive Vital Sign Monitoring (5 papers) and Machine Learning in Healthcare (4 papers). Sakyajit Bhattacharya is often cited by papers focused on Heart Rate Variability and Autonomic Control (9 papers), Non-Invasive Vital Sign Monitoring (5 papers) and Machine Learning in Healthcare (4 papers). Sakyajit Bhattacharya collaborates with scholars based in India, United States and Singapore. Sakyajit Bhattacharya's co-authors include Vaibhav Rajan, Arpan Pal, Aniruddha Sinha, Dibyendu Roy, Rohan Banerjee, Oishee Mazumder, Avik Ghose, Chandan K. Reddy, Anirban Dutta Choudhury and Shourya Roy and has published in prestigious journals such as Bioinformatics, PLoS ONE and IEEE Access.

In The Last Decade

Sakyajit Bhattacharya

24 papers receiving 272 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sakyajit Bhattacharya India 11 108 72 67 44 40 25 286
Chetanya Puri India 9 120 1.1× 179 2.5× 72 1.1× 37 0.8× 17 0.4× 21 405
Yunendah Nur Fuadah Indonesia 10 91 0.8× 77 1.1× 65 1.0× 28 0.6× 18 0.5× 36 359
Tae Joon Jun South Korea 11 86 0.8× 103 1.4× 51 0.8× 37 0.8× 33 0.8× 46 397
Andriana Prentza Greece 10 52 0.5× 152 2.1× 119 1.8× 47 1.1× 27 0.7× 38 420
Shuli Guo China 10 57 0.5× 34 0.5× 38 0.6× 11 0.3× 18 0.5× 38 288
Omar Mohd Rijal Malaysia 12 80 0.7× 35 0.5× 26 0.4× 90 2.0× 25 0.6× 53 369
Takuma Shibahara Japan 8 100 0.9× 82 1.1× 10 0.1× 13 0.3× 80 2.0× 15 357
Teresa Rocha Portugal 11 113 1.0× 136 1.9× 35 0.5× 11 0.3× 75 1.9× 52 348
Adyasha Rath India 9 71 0.7× 130 1.8× 47 0.7× 61 1.4× 75 1.9× 25 306

Countries citing papers authored by Sakyajit Bhattacharya

Since Specialization
Citations

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

Fields of papers citing papers by Sakyajit Bhattacharya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sakyajit Bhattacharya

This figure shows the co-authorship network connecting the top 25 collaborators of Sakyajit Bhattacharya. A scholar is included among the top collaborators of Sakyajit Bhattacharya 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 Sakyajit Bhattacharya. Sakyajit Bhattacharya 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.
Bhattacharya, Sakyajit, Dibyendu Roy, Oishee Mazumder, et al.. (2024). Post-Exercise Recovery Score Using Computational Cardiac Model. 1721–1725.
2.
Bhattacharya, Sakyajit, et al.. (2023). Imputation of Human Mobility Data for Comprehensive Risk Models. 19–24. 1 indexed citations
3.
Bhattacharya, Sakyajit, et al.. (2023). PuffConv: A System for Online and On-device Puff Detection for Smoking Cessation. 595–600. 5 indexed citations
4.
Mazumder, Oishee, Rohan Banerjee, Dibyendu Roy, et al.. (2022). Synthetic PPG Signal Generation to Improve Coronary Artery Disease Classification: Study With Physical Model of Cardiovascular System. IEEE Journal of Biomedical and Health Informatics. 26(5). 2136–2146. 24 indexed citations
5.
Bhattacharya, Sakyajit, et al.. (2021). A Patient-Invariant Model for Freezing of Gait Detection Aided by Wavelet Decomposition. 1015–1019. 3 indexed citations
6.
Bhattacharya, Sakyajit, Oishee Mazumder, Dibyendu Roy, Aniruddha Sinha, & Avik Ghose. (2020). Synthetic Data Generation Through Statistical Explosion: Improving Classification Accuracy of Coronary Artery Disease Using PPG. 1165–1169. 8 indexed citations
7.
Chowdhury, Arijit, et al.. (2019). Early Detection of Mild Cognitive Impairment using Pervasive Sensing. PubMed. 2019. 5456–5459. 2 indexed citations
8.
Mazumder, Oishee, Dibyendu Roy, Sakyajit Bhattacharya, Aniruddha Sinha, & Arpan Pal. (2019). Synthetic PPG generation from haemodynamic model with baroreflex autoregulation: a Digital twin of cardiovascular system. PubMed. 2019. 5024–5029. 38 indexed citations
9.
Bhattacharya, Sakyajit, et al.. (2019). Gaussian mixture copulas for high-dimensional clustering and dependency-based subtyping. Bioinformatics. 36(2). 621–628. 15 indexed citations
10.
Bhattacharya, Sakyajit, et al.. (2018). Modelling HTM Learning and Prediction for Robotic Path-Learning. 839–844. 2 indexed citations
11.
Bhattacharya, Sakyajit, et al.. (2018). A dual boundary classifier for predicting acute hypotensive episodes in critical care. PLoS ONE. 13(2). e0193259–e0193259. 10 indexed citations
12.
Banerjee, Rohan, Sakyajit Bhattacharya, & Shahnawaz Alam. (2018). Time Series and Morphological Feature Extraction for Classifying Coronary Artery Disease from Photoplethysmogram. 950–954. 16 indexed citations
13.
Banerjee, Rohan, Sakyajit Bhattacharya, Soma Bandyopadhyay, Arpan Pal, & Kayapanda Mandana. (2018). Non-Invasive Detection of Coronary Artery Disease Based on Clinical Information and Cardiovascular Signals: A Two-Stage Classification Approach. 205–210. 7 indexed citations
14.
Banerjee, Rohan, Anirban Dutta Choudhury, Sakyajit Bhattacharya, et al.. (2017). Novel features from autocorrelation and spectrum to classify Phonocardiogram quality. PubMed. 2017. 4516–4520. 4 indexed citations
15.
Bhattacharya, Sakyajit, et al.. (2017). ICU Mortality Prediction: A Classification Algorithm for Imbalanced Datasets. Proceedings of the AAAI Conference on Artificial Intelligence. 31(1). 39 indexed citations
16.
Banerjee, Rohan, Anirban Dutta Choudhury, Parijat Deshpande, et al.. (2017). A robust dataset-agnostic heart disease classifier from Phonocardiogram. PubMed. 2017. 4582–4585. 11 indexed citations
17.
Rajan, Vaibhav & Sakyajit Bhattacharya. (2016). Dependency clustering of mixed data with Gaussian mixture copulas. International Joint Conference on Artificial Intelligence. 1967–1973. 11 indexed citations
18.
Bhattacharya, Sakyajit, et al.. (2015). Crowds of Crowds: Performance based Modeling and Optimization over Multiple Crowdsourcing Platforms. 2(1). 2 indexed citations
19.
Bhattacharya, Sakyajit, et al.. (2015). Classification with imbalance: A similarity-based method for predicting respiratory failure. 707–714. 6 indexed citations
20.
Rajan, Vaibhav, et al.. (2014). Predicting Postoperative Acute Respiratory Failure in critical care using nursing notes and physiological signals. PubMed. 2014. 2702–2705. 5 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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