Harikrishnan Ravichandran
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- Advanced Memory and Neural Computing 14
- Ferroelectric and Negative Capacitance Devices 5
- Advancements in Semiconductor Devices and Circuit Design 2
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- Physical Unclonable Functions (PUFs) and Hardware Security 4
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- 2D Materials and Applications 4
- Graphene research and applications 2
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- Advanced Sensor and Energy Harvesting Materials 3
- Advanced Chemical Sensor Technologies 2
- Co-authors
- Saptarshi DasAndrew PannoneAkshay WaliJoan M. RedwingThomas F. SchranghamerMuhtasim Ul Karim SadafNajam U SakibNicholas Trainor
- Cited by
- Electrical and Electronic EngineeringHardware and ArchitectureCellular and Molecular Neuroscience
- Partner nations
- United StatesAustriaIndia
In The Last Decade
Harikrishnan Ravichandran
18 papers receiving 347 citations
Peers
Comparison fields: 5 of 43
- Electrical and Electronic Engineering 252
- Hardware and Architecture 27
- Cellular and Molecular Neuroscience 56
- Materials Chemistry 113
- Cognitive Neuroscience 39
Countries citing papers authored by Harikrishnan Ravichandran
This map shows the geographic impact of Harikrishnan Ravichandran'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 Harikrishnan Ravichandran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Harikrishnan Ravichandran more than expected).
Fields of papers citing papers by Harikrishnan Ravichandran
This network shows the impact of papers produced by Harikrishnan Ravichandran. 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 Harikrishnan Ravichandran. The network helps show where Harikrishnan Ravichandran may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Harikrishnan Ravichandran, 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 | 2025 | 17 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 6 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 8 | |
| 8 | 2024 | 20 | |
| 9 | 2024 | 38 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 9 | |
| 12 | 2023 | 13 | |
| 13 | 2023 | 33 | |
| 14 | 2023 | 65 | |
| 15 | 2023 | 10 | |
| 16 | 2022 | 15 | |
| 17 | 2022 | 20 | |
| 18 | 2022 | 51 | |
| 19 | 2021 | 38 |
About Harikrishnan Ravichandran
Harikrishnan Ravichandran is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering and Bioengineering, having authored 19 papers that have together received 351 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (14 papers), Ferroelectric and Negative Capacitance Devices (5 papers), 2D Materials and Applications (4 papers), Physical Unclonable Functions (PUFs) and Hardware Security (4 papers), Advanced Sensor and Energy Harvesting Materials (3 papers), Graphene research and applications (2 papers), Advanced Chemical Sensor Technologies (2 papers) and Advancements in Semiconductor Devices and Circuit Design (2 papers). The work is most often cited by research in Electrical and Electronic Engineering (252 citations), Hardware and Architecture (27 citations) and Cellular and Molecular Neuroscience (56 citations). Harikrishnan Ravichandran has collaborated with scholars based in United States, Austria and India. Frequent co-authors include Saptarshi Das, Andrew Pannone, Akshay Wali, Joan M. Redwing, Thomas F. Schranghamer, Muhtasim Ul Karim Sadaf, Najam U Sakib, Nicholas Trainor, Dipanjan Sen and Subir Ghosh. Their work appears in journals such as Nature Communications, ACS Nano, Nature, Advanced Materials and Nanoscale Horizons.
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.