Hariprasad Chandrakumar
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- Neuroscience and Neural Engineering 14
- Biomedical Engineering top 5%
- Analog and Mixed-Signal Circuit Design 16
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- Radio Frequency Integrated Circuit Design 4
- Advanced Memory and Neural Computing 4
- Advancements in PLL and VCO Technologies 4
- Wireless Power Transfer Systems 2
- Advanced Power Amplifier Design 2
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces 7
Hariprasad Chandrakumar
19 papers receiving 728 citations
Peers
Comparison fields: 5 of 36
- Cellular and Molecular Neuroscience 450
- Biomedical Engineering 529
- Electrical and Electronic Engineering 537
- Cognitive Neuroscience 160
- Bioengineering 26
Countries citing papers authored by Hariprasad Chandrakumar
This map shows the geographic impact of Hariprasad Chandrakumar'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 Hariprasad Chandrakumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hariprasad Chandrakumar more than expected).
Fields of papers citing papers by Hariprasad Chandrakumar
This network shows the impact of papers produced by Hariprasad Chandrakumar. 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 Hariprasad Chandrakumar. The network helps show where Hariprasad Chandrakumar may publish in the future.
Co-authorship network
The 14 scholars most cited alongside Hariprasad Chandrakumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 11 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 14 | |
| 4 | 2023 | 13 | |
| 5 | 2022 | 2 | |
| 6 | 2022 | 6 | |
| 7 | 2018 | 102 | |
| 8 | 2018 | 9 | |
| 9 | 27.1 A 2.8.MU.W 80mVpp-linear-input-range 1.6G.OMEGA.-input impedance bio-signal chopper amplifier tolerant to common-mode interference up to 650mVpp | 2017 | 4 |
| 10 | 2017 | 132 | |
| 11 | 2017 | 165 | |
| 12 | 2017 | 20 | |
| 13 | 2017 | 11 | |
| 14 | 2017 | 3 | |
| 15 | 2016 | 15 | |
| 16 | 2016 | 101 | |
| 17 | 2016 | 43 | |
| 18 | 2015 | 46 | |
| 19 | 2014 | 10 | |
| 20 | A 0.6uW/Channel, Frequency Division Multiplexed Amplifier for Neural Recording Systems | 2012 | 0 |
About Hariprasad Chandrakumar
Hariprasad Chandrakumar is a scholar working on Cellular and Molecular Neuroscience, Biomedical Engineering and Cognitive Neuroscience, having authored 21 papers that have together received 742 indexed citations. Recurring topics across this work include Analog and Mixed-Signal Circuit Design (16 papers), Neuroscience and Neural Engineering (14 papers), EEG and Brain-Computer Interfaces (7 papers), Radio Frequency Integrated Circuit Design (4 papers), Advanced Memory and Neural Computing (4 papers), Advancements in PLL and VCO Technologies (4 papers), Wireless Power Transfer Systems (2 papers) and Advanced Power Amplifier Design (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (450 citations), Biomedical Engineering (529 citations) and Electrical and Electronic Engineering (537 citations). Hariprasad Chandrakumar has collaborated with scholars based in United States and Japan. Frequent co-authors include Dejan Marković, Wenlong Jiang, Vaibhav Karkare, Thomas W. Brown, Stefano Pellerano, Brent Carlton, Steven Callender, Abhishek Agrawal, Somnath Kundu and A.A. Abidi.
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.