World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
63
Citations
11846
World Ranking
2808
National Ranking
1386

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Database
  • Computer vision

His primary areas of investigation include Computer hardware, Electronic records, Display device, Artificial intelligence and Computer vision. His study on Remote computer and Docking station is often connected to User interface and Container as part of broader study in Computer hardware. Information retrieval, Rendering, Source data, Excavation and Geographic area are fields of study that overlap with his Display device research.

The Artificial intelligence study combines topics in areas such as Mode and Geographic coordinate system. His studies in Geographic coordinate system integrate themes in fields like Input device and Real-time computing. His work carried out in the field of Landmark brings together such families of science as Orientation and Image.

His most cited work include:

  • Systems and methods for complex event processing of vehicle information and image information relating to a vehicle (265 citations)
  • Locating equipment communicatively coupled to or equipped with a mobile/portable device (171 citations)
  • Methods, apparatus and systems for generating searchable electronic records of underground facility locate and/or marking operations (163 citations)

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

The scientist’s investigation covers issues in Computer hardware, Artificial intelligence, Computer vision, Technician and Ticket. His work on Docking station as part of general Computer hardware study is frequently linked to Time data, Location data and User interface, therefore connecting diverse disciplines of science. In general Artificial intelligence, his work in Landmark, Tracking and Orientation is often linked to Display device and Excavation linking many areas of study.

His Computer vision study spans across into subjects like Path and Line. His Ticket study integrates concerns from other disciplines, such as Field, Database and World Wide Web. His Database research includes themes of Quality, Quality assessment and Transport engineering.

He most often published in these fields:

  • Computer hardware (19.48%)
  • Artificial intelligence (19.48%)
  • Computer vision (19.48%)

What were the highlights of his more recent work (between 2012-2017)?

  • Ticket (17.53%)
  • Excavation (16.23%)
  • Computer vision (19.48%)

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

His main research concerns Ticket, Excavation, Computer vision, Artificial intelligence and World Wide Web. His study in Ticket is interdisciplinary in nature, drawing from both Quality assessment and Database. The various areas that Curtis Chambers examines in his Quality assessment study include Field, Transport engineering and Human–computer interaction.

Excavation is integrated with Geographic area and Display device in his research. Curtis Chambers is involved in the study of Computer vision that focuses on Tracking in particular. His work on Metadata as part of his general World Wide Web study is frequently connected to Electronic records and Positive response, thereby bridging the divide between different branches of science.

Between 2012 and 2017, his most popular works were:

  • Methods and apparatus for overlaying electronic locate information on facilities map information and/or other image information displayed on a locate device (144 citations)
  • Electronic manifest of underground facility locate marks (124 citations)
  • Systems, methods, and apparatus for tracking an object (22 citations)

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

  • Artificial intelligence
  • Database
  • Computer vision

Curtis Chambers mostly deals with Artificial intelligence, Computer vision, Computer hardware, Geographic area and Set. His study in the field of Landmark, Orientation and Image is also linked to topics like Zoom and Overlay. His Object, Inertial measurement unit and Optical flow study in the realm of Computer vision connects with subjects such as Heading and Work site.

His study in the fields of Remote computer under the domain of Computer hardware overlaps with other disciplines such as Barcode. His study in Geographic area intersects with areas of studies such as Aerial image, Location, Cartography, Display device and Computer graphics. Among his research on Set, you can see a combination of other fields of science like Data stream mining, Network packet, Electronic records, Image processing and Tracking.

Best Publications

  • Methods, apparatus and systems for generating accuracy-annotated searchable electronic records of underground facility locate and/or marking operations

    Steven Nielsen;Curtis Chambers;Jeffrey Farr;Greg Block

  • Systems and methods for complex event processing of vehicle information and image information relating to a vehicle

    Steven Nielsen;Curtis Chambers;Jeffrey Farr

  • Methods, apparatus, and systems for documenting and reporting events via geo-referenced electronic drawings

    Steven Nielsen;Curtis Chambers;Jeffrey Farr

  • Systems and methods for complex event processing based on a hierarchical arrangement of complex event processing engines

    Steven Nielsen;Curtis Chambers;Jeffrey Farr

  • Locating equipment communicatively coupled to or equipped with a mobile/portable device

    Steven Nielsen;Curtis Chambers;Jeffrey Farr;Tony Davani

  • Marking device docking stations and methods of using same

    Steven E. Nielsen;Curtis Chambers;Jeffrey Farr

  • Marking apparatus having environmental sensors and operations sensors for underground facility marking operations, and associated methods and systems

    Steven Nielsen;Curtis Chambers;Jeffrey Farr

  • Methods and apparatus for overlaying electronic locate information on facilities map information and/or other image information displayed on a locate device

    Steven Nielsen;Curtis Chambers;Jeffrey Farr

  • Methods and apparatus for generating electronic records of locate operations

    Steven E. Nielsen;Curtis Chambers;Jeffrey Farr

  • Searchable electronic records of underground facility locate marking operations

    Steven E. Nielsen;Curtis Chambers;Jeffrey Farr

  • Virtual white lines for indicating planned excavation sites on electronic images

    Steven E. Nielsen;Curtis Chambers;Jeffrey Farr

  • Optical sensing methods and apparatus for detecting a color of a marking substance

    Steven Nielsen;Jeffrey Farr;Curtis Chambers

  • Marking apparatus having enhanced features for underground facility marking operations, and associated methods and systems

    Steven Nielsen;Curtis Chambers;Jeffrey Farr

  • Marking system and method with location and/or time tracking

    Steven Nielsen;Curtis Chambers;Jeffrey Farr;Mark A Conner

  • Methods and apparatus for generating an electronic record of environmental landmarks based on marking device actuations

    Steven E. Nielsen;Curtis Chambers;Jeffrey Farr

  • Locate apparatus having enhanced features for underground facility locate operations, and associated methods and systems

    Steven E Nielsen;Curtis Chambers;Jeffrey Farr

  • Methods and apparatus for quality assessment of a field service operation based on geographic information

    Steven E. Nielsen;Curtis Chambers;David Pennington;Jeffrey Farr

  • Marking system and method

    Steven E. Nielsen;Curtis Chambers;Jeffrey Farr;Rene A. Vazquez

  • Methods, apparatus, and systems for generating electronic records of locate and marking operations, and combined locate and marking apparatus for same

    Steven E. Nielsen;Curtis Chambers;Jeffrey Farr

  • Methods and apparatus for displaying and processing facilities map information and/or other image information on a marking device

    Steven Nielsen;Curtis Chambers;Jeffrey Farr

Frequent Co-Authors

Jeffrey Farr
Jeffrey Farr Nielsen (United States)
Steven Nielsen
Steven Nielsen Nielsen (United States)

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