H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Engineering and Technology H-index 77 Citations 22,146 228 World Ranking 161 National Ranking 76

Overview

What is she best known for?

The fields of study she is best known for:

  • Mechanical engineering
  • Operating system
  • Artificial intelligence

Her primary scientific interests are in Inkwell, Computer hardware, Mechanical engineering, Computer graphics and Engineering drawing. Her studies in Inkwell integrate themes in fields like Optoelectronics, Electronic engineering, Electrical engineering and Nozzle. Her Computer hardware study also includes

  • Interface which intersects with area such as Database,
  • Surface together with System interface and Position.

Kia Silverbrook has researched Computer graphics in several fields, including Camera interface, Scanner, Artificial intelligence and Computer vision. Her Computer vision research incorporates themes from Controller and Display device. Her Engineering drawing research is multidisciplinary, incorporating elements of Mechanism, Molding and Modular design.

Her most cited work include:

  • Printhead incorporating a static pagewidth printhead (576 citations)
  • Ink jet print device and print head or print apparatus using the same (366 citations)
  • Wide format pagewidth inkjet printer (342 citations)

What are the main themes of her work throughout her whole career to date?

Kia Silverbrook focuses on Inkwell, Mechanical engineering, Computer hardware, Engineering drawing and Nozzle. Her biological study spans a wide range of topics, including Optoelectronics, Electrical engineering, Integrated circuit, Electronic engineering and Cartridge. Her Computer hardware research incorporates elements of Controller, Interface, Image sensor and Computer graphics.

The Interface study combines topics in areas such as Artificial intelligence and Computer vision. Her multidisciplinary approach integrates Engineering drawing and Print media in her work. Kia Silverbrook interconnects Substrate, Structural engineering, Actuator, Bubble and Composite material in the investigation of issues within Nozzle.

She most often published in these fields:

  • Inkwell (25.12%)
  • Mechanical engineering (16.52%)
  • Computer hardware (16.06%)

What were the highlights of her more recent work (between 2010-2017)?

  • Microfluidics (5.14%)
  • Nucleic acid (4.45%)
  • Optoelectronics (7.84%)

In recent papers she was focusing on the following fields of study:

Kia Silverbrook spends much of her time researching Microfluidics, Nucleic acid, Optoelectronics, Analytical chemistry and Substrate. Her work carried out in the field of Optoelectronics brings together such families of science as Signal, Excitation and Electrode. Her Analytical chemistry study combines topics from a wide range of disciplines, such as Nucleic acid sequence and Casing.

Her Substrate research includes themes of Microsystem, Oligonucleotide and Spotting. Her Sample research is multidisciplinary, incorporating perspectives in Controller, Electronic engineering, Computer hardware and Communication channel. Her work investigates the relationship between Computer hardware and topics such as Embedded system that intersect with problems in Semiconductor memory.

Between 2010 and 2017, her most popular works were:

  • Camera unit incoporating program script scanner (46 citations)
  • Fabrication system for lab-on-a-chip (loc) devices with differing application specific functionality (27 citations)
  • Mobile phone assembly with microscope capability (25 citations)

In her most recent research, the most cited papers focused on:

  • Mechanical engineering
  • Operating system
  • Artificial intelligence

Her primary scientific interests are in Microfluidics, Nucleic acid, Optoelectronics, Inkwell and Substrate. Kia Silverbrook has included themes like Nanotechnology and Fluorescence in her Optoelectronics study. Her Inkwell research is multidisciplinary, incorporating elements of Engineering drawing, Mechanical engineering, Cartridge, Nozzle and Structural engineering.

While the research belongs to areas of Mechanical engineering, she spends her time largely on the problem of Electronic engineering, intersecting her research to questions surrounding Integrated circuit. Her biological study spans a wide range of topics, including Electronic document, Computer graphics and User information. Kia Silverbrook combines subjects such as Computer vision and Artificial intelligence with her study of Optics.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

Printhead Incorporating A Static Pagewidth Printhead

Kia Silverbrook;Norman Micheal Berry;Garry Raymond Jackson;Akira Nakazawa.
(2007)

772 Citations

Ink jet print device and print head or print apparatus using the same

Kia Silverbrook.
(1994)

555 Citations

Sensing device for coded data

Kia Silverbrook;Paul Lapstun;Jan Rusman;Peter Charles Boyd Henderson.
(2004)

517 Citations

Method of fabricating bubblejet print devices using semiconductor fabrication techniques

Kia Silverbrook.
(1994)

492 Citations

Printer unit for PC disk drive bay

Tobin Allen King;Kia Silverbrook.
(1999)

474 Citations

Power supply for a four color modular printhead

Kia Silverbrook;Tobin Allen King;Garry Raymond Jackson.
(2000)

451 Citations

A camera with internal printing system

Kia Silverbrook;Simon Walmsley;Paul Lapstun.
(1998)

436 Citations

Mobile phone with interactive printer

Kia Silverbrook;Paul Lapstun;Tobin Allen King.
(2000)

406 Citations

Head mounted display with wave front modulator

Paul Lapstun;Kia Silverbrook.
(2005)

400 Citations

Augmented reality device for presenting virtual imagery registered to a viewed surface

Paul Lapstun;Kia Silverbrook.
(2010)

386 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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