Sakyajit Bhattacharya
- Artificial Intelligence top 10%
- Cardiology and Cardiovascular Medicine
- Biomedical Engineering
- Pulmonary and Respiratory Medicine
- Health Information Management top 5%
- Co-authors
- Vaibhav RajanArpan PalAniruddha SinhaDibyendu RoyRohan BanerjeeOishee MazumderAvik GhoseChandan K. Reddy
- Topics
- Heart Rate Variability and Autonomic Control (9 papers)Non-Invasive Vital Sign Monitoring (5 papers)Machine Learning in Healthcare (4 papers)
- Journals
- BioinformaticsPLoS ONEIEEE Access
- Partner nations
- IndiaUnited StatesSingapore
In The Last Decade
Sakyajit Bhattacharya
24 papers receiving 272 citations
Peers
Comparison fields: 5 of 79
- Artificial Intelligence 108
- Cardiology and Cardiovascular Medicine 72
- Biomedical Engineering 67
- Pulmonary and Respiratory Medicine 44
- Health Information Management 40
Countries citing papers authored by Sakyajit Bhattacharya
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 24 | |
| 5 | 3 | |
| 6 | 8 | |
| 7 | 2 | |
| 8 | 15 | |
| 9 | 38 | |
| 10 | 10 | |
| 11 | 2 | |
| 12 | 4 | |
| 13 | 39 | |
| 14 | 5 | |
| 15 | 19 | |
| 16 | 11 | |
| 17 | Dependency clustering of mixed data with Gaussian mixture copulas | 11 |
| 18 | 2 | |
| 19 | 6 | |
| 20 | 5 |
About Sakyajit Bhattacharya
Sakyajit Bhattacharya is a scholar working on Health Information Management, Cardiology and Cardiovascular Medicine and Signal Processing, having authored 25 papers that have together received 286 indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (9 papers), Non-Invasive Vital Sign Monitoring (5 papers) and Machine Learning in Healthcare (4 papers). The work is most often cited by research in Health Information Management (40 citations), Health Informatics (10 citations) and Issues, ethics and legal aspects (8 citations). Sakyajit Bhattacharya has collaborated with scholars based in India, United States and Singapore. Frequent co-authors include Vaibhav Rajan, Arpan Pal, Aniruddha Sinha, Dibyendu Roy, Rohan Banerjee, Oishee Mazumder, Avik Ghose, Chandan K. Reddy, Anirban Dutta Choudhury and Paul D. McNicholas. Their work appears in journals such as Bioinformatics, PLoS ONE and IEEE Access.
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.