Steven Nielsen

What is he best known for?

The fields of study he is best known for:

• Artificial intelligence
• Computer vision
• Database

His scientific interests lie mostly in Computer hardware, Electronic records, Artificial intelligence, Computer vision and Display device. In the field of Computer hardware, his study on Remote computer and Docking station overlaps with subjects such as User interface and Docking. His Landmark study, which is part of a larger body of work in Artificial intelligence, is frequently linked to Geographic area, bridging the gap between disciplines.

His Landmark research incorporates themes from Orientation and Image. Other disciplines of study, such as Information retrieval, Rendering, Source data, Excavation and User input, are mixed together with his Display device studies. His Geographic coordinate system study integrates concerns from other disciplines, such as Input device and Real-time computing.

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?

Steven Nielsen focuses on Computer hardware, Artificial intelligence, Computer vision, Technician and Ticket. His study in the field of Docking station also crosses realms of Time data, Location data and User interface. In the subject of general Artificial intelligence, his work in Landmark, Tracking and Orientation is often linked to Display device and Excavation, thereby combining diverse domains of study.

His study in Computer vision intersects with areas of studies such as Path and Line. His Ticket research is multidisciplinary, incorporating elements of Field, Database and World Wide Web. His Database research is multidisciplinary, relying on both Quality, Quality assessment and Transport engineering.

He most often published in these fields:

• Computer hardware (19.11%)
• Artificial intelligence (19.11%)
• Computer vision (19.11%)

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

• Ticket (17.20%)
• Excavation (15.92%)
• Computer vision (19.11%)

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

The scientist’s investigation covers issues in Ticket, Excavation, Computer vision, Artificial intelligence and World Wide Web. Steven Nielsen interconnects Quality assessment and Database in the investigation of issues within Ticket. His studies in Quality assessment integrate themes in fields like Field, Transport engineering and Human–computer interaction.

Among his Excavation studies, you can observe a synthesis of other disciplines of science such as Geographic area and Display device. Specifically, his work in Computer vision is concerned with the study of Tracking. His study in the field of Metadata is also linked to topics like Electronic records and Positive response.

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

His primary areas of study are Artificial intelligence, Computer vision, Computer hardware, Geographic area and Set. In general Artificial intelligence, his work in Landmark, Orientation and Image is often linked to Zoom and Overlay linking many areas of study. Many of his research projects under Computer vision are closely connected to Heading and Work site with Heading and Work site, tying the diverse disciplines of science together.

His research in the fields of Remote computer overlaps with other disciplines such as Barcode. He integrates several fields in his works, including Geographic area, Aerial image, Location, Cartography, Display device and Computer graphics. His Set study spans across into fields like Data stream mining, Network packet, Electronic records, Image processing and Tracking.