Darsith Jayachandran
Impact in
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- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
- Perovskite Materials and Applications
- CCD and CMOS Imaging Sensors
- Materials Chemistry top 10%
- 2D Materials and Applications
- MXene and MAX Phase Materials
- Graphene research and applications
Papers in
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- Advanced Memory and Neural Computing 5
- Ferroelectric and Negative Capacitance Devices 2
- CCD and CMOS Imaging Sensors 2
- Gas Sensing Nanomaterials and Sensors 1
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- 2D Materials and Applications 4
- MXene and MAX Phase Materials 2
- Co-authors
- Saptarshi Das (8 shared papers)Joan M. Redwing (6 shared papers)Najam U Sakib (3 shared papers)Nicholas Trainor (4 shared papers)Andrew Pannone (4 shared papers)Aaryan Oberoi (2 shared papers)Balakrishnan Shankar (1 shared paper)Rahul Pendurthi (3 shared papers)
- Journals
- ACS Nano (2 papers)Small (1 paper)Nature Materials (1 paper)Nature Electronics (1 paper)Nature (1 paper)
- Partner nations
- United StatesIndia
In The Last Decade
Darsith Jayachandran
8 papers receiving 820 citations
Darsith Jayachandran's Hit Papers
Peers
Comparison fields: 5 of 42
- Electrical and Electronic Engineering 567
- Materials Chemistry 407
- Cellular and Molecular Neuroscience 101
- Polymers and Plastics 53
- Biomedical Engineering 143
Countries citing papers authored by Darsith Jayachandran
This map shows the geographic impact of Darsith Jayachandran'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 Darsith Jayachandran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Darsith Jayachandran more than expected).
Fields of papers citing papers by Darsith Jayachandran
This network shows the impact of papers produced by Darsith Jayachandran. 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 Darsith Jayachandran. The network helps show where Darsith Jayachandran may publish in the future.
Co-authors
The 25 scholars most cited alongside Darsith Jayachandran, 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 | Three-dimensional integration of two-dimensional field-effect transistors Hit paper breakdown → | 2024 | 207 |
| 2 | 2020 | 186 | |
| 3 | 2022 | 168 | |
| 4 | Monolithic three-dimensional integration of complementary two-dimensional field-effect transistors Hit paper breakdown → | 2024 | 89 |
| 5 | 2024 | 67 | |
| 6 | 2022 | 43 | |
| 7 | 2022 | 41 | |
| 8 | 2022 | 26 |
About Darsith Jayachandran
Darsith Jayachandran is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Biomedical Engineering, Computer Vision and Pattern Recognition and Atomic and Molecular Physics, and Optics, having authored 8 papers that have together received 827 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (5 papers), 2D Materials and Applications (4 papers), Nanowire Synthesis and Applications (2 papers), MXene and MAX Phase Materials (2 papers), Ferroelectric and Negative Capacitance Devices (2 papers), CCD and CMOS Imaging Sensors (2 papers), Ga2O3 and related materials (1 paper) and Gas Sensing Nanomaterials and Sensors (1 paper). The work is most often cited by research in Electrical and Electronic Engineering (567 citations), Materials Chemistry (407 citations), Cellular and Molecular Neuroscience (101 citations), Polymers and Plastics (53 citations) and Biomedical Engineering (143 citations). Darsith Jayachandran has collaborated with scholars based in United States and India. Frequent co-authors include Saptarshi Das, Joan M. Redwing, Najam U Sakib, Nicholas Trainor, Andrew Pannone, Aaryan Oberoi, Balakrishnan Shankar, Rahul Pendurthi, Tanushree H. Choudhury and Amritanand Sebastian. Their work appears in journals such as ACS Nano, Small, Nature Materials, Nature Electronics and Nature.
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.