Shubham Chamadia
Impact in
- Computational Mathematics top 10%
-
- Anesthesia and Sedative Agents
Papers in
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- Sparse and Compressive Sensing Techniques 6
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- Image and Signal Denoising Methods 2
- Co-authors
- Dimitris A. Pados (9 shared papers)Panos P. Markopoulos (2 shared papers)Sandipan Kundu (3 shared papers)Oluwaseun Akeju (12 shared papers)Juan C. Pedemonte (8 shared papers)Jacob Gitlin (8 shared papers)Eunice Hahm (7 shared papers)Reine Ibala (8 shared papers)
- Journals
- Anesthesiology (3 papers)Clinical Neurophysiology (1 paper)PAIN Reports (1 paper)IEEE Transactions on Signal Processing (1 paper)PLoS Computational Biology (1 paper)
- Partner nations
- United StatesChileUnited Kingdom
In The Last Decade
Shubham Chamadia
22 papers receiving 310 citations
Peers
Comparison fields: 5 of 64
- Computational Mathematics 16
- Anesthesiology and Pain Medicine 53
- Critical Care and Intensive Care Medicine 41
- Developmental Neuroscience 19
- Signal Processing 41
Countries citing papers authored by Shubham Chamadia
This map shows the geographic impact of Shubham Chamadia'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 Shubham Chamadia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shubham Chamadia more than expected).
Fields of papers citing papers by Shubham Chamadia
This network shows the impact of papers produced by Shubham Chamadia. 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 Shubham Chamadia. The network helps show where Shubham Chamadia may publish in the future.
Co-authors
The 25 scholars most cited alongside Shubham Chamadia, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 92 | |
| 2 | 2019 | 38 | |
| 3 | 2020 | 32 | |
| 4 | 2021 | 29 | |
| 5 | 2020 | 22 | |
| 6 | 2020 | 19 | |
| 7 | 2021 | 17 | |
| 8 | 2022 | 11 | |
| 9 | 2016 | 11 | |
| 10 | 2020 | 9 | |
| 11 | 2018 | 7 | |
| 12 | 2020 | 5 | |
| 13 | Optimal sparse L1-norm principal-component analysis. | 2017 | 4 |
| 14 | 2021 | 3 | |
| 15 | 2017 | 3 | |
| 16 | 2014 | 2 | |
| 17 | 2019 | 2 | |
| 18 | 2019 | 2 | |
| 19 | 2021 | 1 | |
| 20 | 2017 | 1 |
About Shubham Chamadia
Shubham Chamadia is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition, Anesthesiology and Pain Medicine, Cognitive Neuroscience and Signal Processing, having authored 22 papers that have together received 312 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (6 papers), Anesthesia and Sedative Agents (5 papers), Blind Source Separation Techniques (4 papers), EEG and Brain-Computer Interfaces (4 papers), Neural dynamics and brain function (3 papers), Image and Signal Denoising Methods (2 papers), Obstructive Sleep Apnea Research (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Computational Mathematics (16 citations), Anesthesiology and Pain Medicine (53 citations), Critical Care and Intensive Care Medicine (41 citations), Developmental Neuroscience (19 citations) and Signal Processing (41 citations). Shubham Chamadia has collaborated with scholars based in United States, Chile and United Kingdom. Frequent co-authors include Dimitris A. Pados, Panos P. Markopoulos, Sandipan Kundu, Oluwaseun Akeju, Juan C. Pedemonte, Jacob Gitlin, Eunice Hahm, Reine Ibala, Lauren E. Hobbs and Emery N. Brown. Their work appears in journals such as Anesthesiology, Clinical Neurophysiology, PAIN Reports, IEEE Transactions on Signal Processing and PLoS Computational Biology.
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.