What is he best known for?
The fields of study he is best known for:
- Operating system
- Artificial intelligence
- Central processing unit
His primary areas of study are Embedded system, Electrical engineering, Electronic engineering, Logic gate and Field-effect transistor.
He combines subjects such as Computer architecture, Reliability and Cache with his study of Embedded system.
His Electrical engineering research includes elements of Field-programmable gate array, Gate array and Power density.
His biological study spans a wide range of topics, including Electronic circuit, Energy harvesting, Low-power electronics and Rectifier.
The various areas that he examines in his Logic gate study include Real-time computing and State.
To a larger extent, Vijaykrishnan Narayanan studies Transistor with the aim of understanding Field-effect transistor.
His most cited work include:
- Leakage current: Moore's law meets static power (972 citations)
- Design and Management of 3D Chip Multiprocessors Using Network-in-Memory (363 citations)
- A novel dimensionally-decomposed router for on-chip communication in 3D architectures (240 citations)
What are the main themes of his work throughout his whole career to date?
Electronic engineering, Embedded system, Electrical engineering, Transistor and Field-programmable gate array are his primary areas of study.
His Electronic engineering research is multidisciplinary, relying on both Efficient energy use and Leakage.
His studies in Embedded system integrate themes in fields like Computer architecture, Control reconfiguration, Interconnection and Cache.
Many of his studies on Electrical engineering apply to Low-power electronics as well.
His Transistor research focuses on Logic gate and how it connects with Non-volatile memory.
His Field-programmable gate array research integrates issues from Neuromorphic engineering and Speedup.
He most often published in these fields:
- Electronic engineering (22.97%)
- Embedded system (20.35%)
- Electrical engineering (20.06%)
What were the highlights of his more recent work (between 2016-2021)?
- Transistor (17.15%)
- Artificial intelligence (11.63%)
- Non-volatile memory (5.81%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Transistor, Artificial intelligence, Non-volatile memory, Logic gate and Static random-access memory.
His Transistor study improves the overall literature in Electrical engineering.
His study looks at the relationship between Electrical engineering and fields such as Backup, as well as how they intersect with chemical problems.
His Non-volatile memory study combines topics in areas such as Bottleneck, MOSFET and Voltage.
Logic gate is a subfield of Electronic engineering that Vijaykrishnan Narayanan investigates.
His work deals with themes such as Computation, Efficient energy use, Row and Parallel computing, which intersect with Static random-access memory.
Between 2016 and 2021, his most popular works were:
- Enabling Energy-Efficient Nonvolatile Computing With Negative Capacitance FET (41 citations)
- Device-Circuit Analysis of Ferroelectric FETs for Low-Power Logic (38 citations)
- Incidental computing on IoT nonvolatile processors (33 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Artificial intelligence
- Central processing unit
His main research concerns Non-volatile memory, Logic gate, Electrical engineering, Transistor and Efficient energy use.
Within one scientific family, Vijaykrishnan Narayanan focuses on topics pertaining to MOSFET under Non-volatile memory, and may sometimes address concerns connected to Optoelectronics.
His Logic gate study incorporates themes from CMOS and Hysteresis.
In his works, Vijaykrishnan Narayanan undertakes multidisciplinary study on Electrical engineering and Negative impedance converter.
His Transistor study frequently draws connections between related disciplines such as Electronic circuit.
Vijaykrishnan Narayanan has researched Efficient energy use in several fields, including Electronic engineering, Static random-access memory and Voltage.
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