What is he best known for?
The fields of study he is best known for:
- Operating system
- Computer hardware
- Electrical engineering
Computer hardware, Electronic engineering, Registered memory, Memory cell and Sense amplifier are his primary areas of study.
His biological study spans a wide range of topics, including Signal and State.
His Electronic engineering research incorporates themes from Voltage, Short circuit, Electrical engineering, Voltage divider and Bandgap voltage reference.
The various areas that Frankie F. Roohparvar examines in his Registered memory study include Memory data register, Memory buffer register, Memory refresh and Interleaved memory.
His studies deal with areas such as Embedded system, Memory map, Memory controller and Flat memory model as well as Interleaved memory.
His Sense amplifier study integrates concerns from other disciplines, such as Operational amplifier, Direct-coupled amplifier, Differential amplifier, Cascade amplifier and Linear amplifier.
His most cited work include:
- Flash with consistent latency for read operations (193 citations)
- Method and apparatus for performing error correction on data read from a multistate memory (186 citations)
- Flash memory with multiple status reading capability (134 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Computer hardware, Semiconductor memory, Registered memory, Sense amplifier and Memory refresh.
His work on Computer hardware is being expanded to include thematically relevant topics such as Memory cell.
His work carried out in the field of Memory cell brings together such families of science as Threshold voltage, Electronic engineering, Analog signal and Reading.
In his work, Dirty bit is strongly intertwined with Parallel computing, which is a subfield of Semiconductor memory.
His Registered memory research is multidisciplinary, incorporating elements of Non-volatile random-access memory, Interleaved memory, Memory controller and Bubble memory.
His Flash memory study deals with Non-volatile memory intersecting with Block.
He most often published in these fields:
- Computer hardware (63.48%)
- Semiconductor memory (33.69%)
- Registered memory (30.85%)
What were the highlights of his more recent work (between 2010-2020)?
- Computer hardware (63.48%)
- Semiconductor memory (33.69%)
- Memory cell (17.38%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Computer hardware, Semiconductor memory, Memory cell, Registered memory and Threshold voltage.
Frankie F. Roohparvar combines subjects such as Analog signal and Parallel computing with his study of Computer hardware.
Frankie F. Roohparvar has included themes like Auxiliary memory and Word in his Semiconductor memory study.
His Memory cell research focuses on subjects like Electronic engineering, which are linked to Integrated circuit, RC time constant and Signal lines.
His research in Registered memory intersects with topics in Dynamic random-access memory, Computer memory and Artificial intelligence.
His studies in Memory refresh integrate themes in fields like Interleaved memory and Flat memory model.
Between 2010 and 2020, his most popular works were:
- Cell operation monitoring (90 citations)
- Programming error correction code into a solid state memory device with varying bits per cell (54 citations)
- Multiple level cell memory device with single bit per cell, re-mappable memory block (39 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Computer hardware
- Electrical engineering
His primary scientific interests are in Computer hardware, Registered memory, Semiconductor memory, Memory refresh and Threshold voltage.
His study of Sense amplifier is a part of Computer hardware.
His Registered memory research includes themes of Dynamic random-access memory and Artificial intelligence.
His research integrates issues of Memory map and Flat memory model in his study of Memory refresh.
Frankie F. Roohparvar interconnects Signal lines, Algorithm, RC time constant and Arithmetic in the investigation of issues within Threshold voltage.
His Memory cell study combines topics from a wide range of disciplines, such as Signal and Reading.
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