What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Operating system
- Programming language
The scientist’s investigation covers issues in Human–computer interaction, Multimedia, User interface, Whiteboard and Event.
Thomas P. Moran is involved in the study of Human–computer interaction that focuses on User interface design in particular.
His work carried out in the field of Multimedia brings together such families of science as Interface and Index.
The study incorporates disciplines such as Conceptual model, Grammar, Notation and Principal in addition to User interface.
His Whiteboard research integrates issues from Window and Object.
Thomas P. Moran works mostly in the field of Keystroke-level model, limiting it down to concerns involving Task analysis and, occasionally, Cognitive skill and Selection.
His most cited work include:
- The Psychology of Human-Computer Interaction (3864 citations)
- The keystroke-level model for user performance time with interactive systems (864 citations)
- Questions, options, and criteria: elements of design space analysis (606 citations)
What are the main themes of his work throughout his whole career to date?
Thomas P. Moran mostly deals with Human–computer interaction, Artificial intelligence, Object, User interface and Computer graphics.
Thomas P. Moran studies Human–computer interaction, namely User interface design.
His Artificial intelligence research is multidisciplinary, relying on both Selection, Computer vision and Natural language processing.
Thomas P. Moran interconnects Set, Graphics, Event, Data structure and Icon in the investigation of issues within Object.
His User interface study incorporates themes from Interface and Pointing device.
His work in Computer graphics covers topics such as Structured text which are related to areas like Graphics software.
He most often published in these fields:
- Human–computer interaction (27.96%)
- Artificial intelligence (15.64%)
- Object (15.17%)
What were the highlights of his more recent work (between 2002-2020)?
- Knowledge management (6.16%)
- Human–computer interaction (27.96%)
- World Wide Web (6.16%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Knowledge management, Human–computer interaction, World Wide Web, Computer graphics and Artificial intelligence.
His studies in Human–computer interaction integrate themes in fields like Articulation, Collaborative computing and Collaboration tool.
The various areas that Thomas P. Moran examines in his World Wide Web study include Representation and Set.
In his research, Graphics software is intimately related to Structured text, which falls under the overarching field of Computer graphics.
His Artificial intelligence research includes themes of GOMS, Computer vision and Natural language processing.
His biological study spans a wide range of topics, including Structure, Input device, Data memory and User interface.
Between 2002 and 2020, his most popular works were:
- Method of generating a context-inferenced search query and of sorting a result of the query (217 citations)
- Method and apparatus to convert bitmapped images for use in a structured text/graphics editor (114 citations)
- System, method, and service for negotiating schedules while preserving privacy through a shared representation (91 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Operating system
- Programming language
Thomas P. Moran mainly investigates Knowledge management, Process management, Focus, Structure and Activity management.
His research integrates issues of Business process, Artifact-centric business process model, Business process modeling and Business rule in his study of Process management.
His research in Business process intersects with topics in Business logic and Workgroup.
Thomas P. Moran usually deals with Focus and limits it to topics linked to Display size and Information retrieval and Data mining.
His work in the fields of Information retrieval, such as Ranking, Query expansion and Query optimization, overlaps with other areas such as Phrase search and Web query classification.
His work deals with themes such as Input device and Image, Computer vision, Artificial intelligence, Image editing, which intersect with Structure.
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