Udit Satija
Impact in
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- ECG Monitoring and Analysis
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces
Papers in
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- Blind Source Separation Techniques 21
- Music and Audio Processing 11
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- EEG and Brain-Computer Interfaces 22
- Co-authors
- Barathram Ramkumar (24 shared papers)M. Sabarimalai Manikandan (17 shared papers)Nikita Trivedi (2 shared papers)Madhur Deo Upadhayay (6 shared papers)S. Mandal (2 shared papers)Jimson Mathew (4 shared papers)Shivam Sharma (1 shared paper)Subhash Saini (1 shared paper)
- Journals
- IEEE Transactions on Instrumentation and Measurement (5 papers)IEEE Signal Processing Letters (5 papers)IEEE Communications Letters (3 papers)IEEE Sensors Journal (3 papers)IEEE Internet of Things Journal (2 papers)
- Partner nations
- IndiaSingaporeSaudi Arabia
In The Last Decade
Udit Satija
68 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 94
- Cardiology and Cardiovascular Medicine 665
- Cognitive Neuroscience 500
- Signal Processing 271
- Artificial Intelligence 337
- Biomedical Engineering 448
Countries citing papers authored by Udit Satija
This map shows the geographic impact of Udit Satija'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 Udit Satija with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Udit Satija more than expected).
Fields of papers citing papers by Udit Satija
This network shows the impact of papers produced by Udit Satija. 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 Udit Satija. The network helps show where Udit Satija may publish in the future.
Co-authors
The 21 scholars most cited alongside Udit Satija, 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 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 254 | |
| 2 | 2018 | 212 | |
| 3 | 2018 | 166 | |
| 4 | 2017 | 126 | |
| 5 | 2018 | 77 | |
| 6 | 2019 | 47 | |
| 7 | 2014 | 38 | |
| 8 | 2016 | 33 | |
| 9 | 2023 | 32 | |
| 10 | 2016 | 31 | |
| 11 | 2022 | 28 | |
| 12 | 2015 | 27 | |
| 13 | 2020 | 26 | |
| 14 | 2017 | 25 | |
| 15 | 2015 | 24 | |
| 16 | 2023 | 23 | |
| 17 | 2020 | 20 | |
| 18 | 2016 | 20 | |
| 19 | 2022 | 19 | |
| 20 | 2023 | 19 |
About Udit Satija
Udit Satija is a scholar working on Signal Processing, Cognitive Neuroscience, Cardiology and Cardiovascular Medicine, Artificial Intelligence and Pulmonary and Respiratory Medicine, having authored 75 papers that have together received 1.6k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (22 papers), Blind Source Separation Techniques (21 papers), ECG Monitoring and Analysis (20 papers), Phonocardiography and Auscultation Techniques (18 papers), Wireless Signal Modulation Classification (14 papers), Music and Audio Processing (11 papers), Respiratory and Cough-Related Research (11 papers) and Non-Invasive Vital Sign Monitoring (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (665 citations), Cognitive Neuroscience (500 citations), Signal Processing (271 citations), Artificial Intelligence (337 citations) and Biomedical Engineering (448 citations). Udit Satija has collaborated with scholars based in India, Singapore and Saudi Arabia. Frequent co-authors include Barathram Ramkumar, M. Sabarimalai Manikandan, Nikita Trivedi, Madhur Deo Upadhayay, S. Mandal, Jimson Mathew, Shivam Sharma, Subhash Saini, Saurabh Karmakar and Arijit Mondal. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, IEEE Signal Processing Letters, IEEE Communications Letters, IEEE Sensors Journal and IEEE Internet of Things Journal.
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.