What is he best known for?
The fields of study he is best known for:
- Quantum mechanics
- Electrical engineering
- Operating system
His primary areas of study are Electronic engineering, CMOS, Electrical engineering, Electronic circuit and Transistor.
Yusuf Leblebici is interested in Very-large-scale integration, which is a field of Electronic engineering.
The concepts of his CMOS study are interwoven with issues in PMOS logic, Subthreshold conduction, Logic gate and Voltage.
His studies in Logic gate integrate themes in fields like NAND gate and Pass transistor logic.
His Electronic circuit research includes themes of Spice and Circuit reliability.
His biological study spans a wide range of topics, including Optoelectronics and Reliability.
His most cited work include:
- CMOS Digital Integrated Circuits Analysis & Design (738 citations)
- Neuromorphic computing using non-volatile memory (393 citations)
- Neuromorphic computing with multi-memristive synapses (213 citations)
What are the main themes of his work throughout his whole career to date?
Yusuf Leblebici mainly investigates Electronic engineering, CMOS, Electrical engineering, Electronic circuit and Optoelectronics.
His research investigates the connection with Electronic engineering and areas like Transistor which intersect with concerns in Reliability.
His CMOS study combines topics in areas such as Computer hardware, Chip, Low-power electronics and Integrated circuit.
His research integrates issues of Pixel and Frame rate in his study of Computer hardware.
His research investigates the connection between Electronic circuit and topics such as Very-large-scale integration that intersect with problems in Circuit reliability.
His work carried out in the field of Optoelectronics brings together such families of science as Electrode and Resistive random-access memory.
He most often published in these fields:
- Electronic engineering (46.17%)
- CMOS (34.74%)
- Electrical engineering (19.70%)
What were the highlights of his more recent work (between 2015-2021)?
- Electronic engineering (46.17%)
- CMOS (34.74%)
- Optoelectronics (15.04%)
In recent papers he was focusing on the following fields of study:
His main research concerns Electronic engineering, CMOS, Optoelectronics, Computer hardware and Resistive random-access memory.
The study incorporates disciplines such as Power, Electronic circuit, Serial communication and Transceiver in addition to Electronic engineering.
As a member of one scientific family, Yusuf Leblebici mostly works in the field of Electronic circuit, focusing on Logic gate and, on occasion, Noise margin.
His CMOS study results in a more complete grasp of Electrical engineering.
His work on Nanowire, Lithography and Microelectromechanical systems as part of general Optoelectronics study is frequently linked to Tungsten, therefore connecting diverse disciplines of science.
In his research, Phase-change memory and Conductance is intimately related to Artificial neural network, which falls under the overarching field of Resistive random-access memory.
Between 2015 and 2021, his most popular works were:
- Neuromorphic computing using non-volatile memory (393 citations)
- Neuromorphic computing with multi-memristive synapses (213 citations)
- Neuromorphic computing with multi-memristive synapses (154 citations)
In his most recent research, the most cited papers focused on:
- Quantum mechanics
- Operating system
- Electrical engineering
Yusuf Leblebici focuses on Electronic engineering, CMOS, Resistive random-access memory, Optoelectronics and Artificial intelligence.
His specific area of interest is Electronic engineering, where Yusuf Leblebici studies Digital signal processing.
His CMOS study is related to the wider topic of Electrical engineering.
His Resistive random-access memory research is multidisciplinary, incorporating perspectives in Artificial neural network, Layer, Chip and Resistive switching.
His research in Optoelectronics focuses on subjects like Etching, which are connected to Electronics and Electrical measurements.
His Artificial intelligence research integrates issues from Real-time computing, Neuron, Computer vision and Key.
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