What is he best known for?
The fields of study he is best known for:
- Programming language
- Artificial intelligence
- Software
His main research concerns Software engineering, Notation, Knowledge management, Artificial intelligence and Business rule.
His Software engineering research is multidisciplinary, incorporating perspectives in Standardization and Requirements engineering.
His Notation research is multidisciplinary, relying on both Programming language, Unified Modeling Language and Use case.
His research investigates the connection between Knowledge management and topics such as Information privacy that intersect with problems in Link level and Personally identifiable information.
His Business rule study combines topics in areas such as Business requirements, Business Process Model and Notation, Artifact-centric business process model, Business process modeling and Business architecture.
His Business process modeling study integrates concerns from other disciplines, such as Business process management, New business development, Business model and Process management.
His most cited work include:
- Evaluating goal models within the goal-oriented requirement language (213 citations)
- A Globally Optimal k-Anonymity Method for the De-Identification of Health Data (157 citations)
- Introduction to the user requirements notation: learning by example (135 citations)
What are the main themes of his work throughout his whole career to date?
Daniel Amyot mainly investigates Software engineering, Notation, Process management, Requirements engineering and Knowledge management.
His study in Software engineering is interdisciplinary in nature, drawing from both User requirements notation, Unified Modeling Language, Software and Systems engineering.
His research in Notation tackles topics such as Aspect-oriented programming which are related to areas like Software development process.
His research in Process management intersects with topics in Business process management, Business process and Performance indicator.
His work on Goal modeling as part of general Requirements engineering research is often related to Structure, thus linking different fields of science.
As part of one scientific family, Daniel Amyot deals mainly with the area of Goal modeling, narrowing it down to issues related to the Artificial intelligence, and often Data mining.
He most often published in these fields:
- Software engineering (27.97%)
- Notation (16.53%)
- Process management (16.10%)
What were the highlights of his more recent work (between 2015-2021)?
- Requirements engineering (14.83%)
- Software engineering (27.97%)
- Goal modeling (13.56%)
In recent papers he was focusing on the following fields of study:
Daniel Amyot mainly investigates Requirements engineering, Software engineering, Goal modeling, Process management and Process.
His work carried out in the field of Requirements engineering brings together such families of science as Process modeling, Engineering management, Law, Information system and Systems engineering.
The concepts of his Software engineering study are interwoven with issues in Requirements management, Curriculum, Systems Modeling Language, Unified Modeling Language and User requirements notation.
His Goal modeling research incorporates themes from Machine learning, Data mining, Management science and Artificial intelligence.
Within one scientific family, Daniel Amyot focuses on topics pertaining to Stakeholder under Process management, and may sometimes address concerns connected to System monitoring, MATLAB, JavaScript and Java.
His work in Process covers topics such as Medical laboratory which are related to areas like Operations management and Simulation.
Between 2015 and 2021, his most popular works were:
- Process Mining in Healthcare: A Systematised Literature Review (26 citations)
- A questionnaire-based survey methodology for systematically validating goal-oriented models (15 citations)
- From event logs to goals: a systematic literature review of goal-oriented process mining (11 citations)
In his most recent research, the most cited papers focused on:
- Programming language
- Software
- Artificial intelligence
The scientist’s investigation covers issues in Goal modeling, Knowledge management, Requirements engineering, Stakeholder and Health care.
He focuses mostly in the field of Goal modeling, narrowing it down to matters related to Goal orientation and, in some cases, Resolution, Conflict resolution and Key.
Daniel Amyot interconnects Process modeling, Business process discovery, Business process management and Process management in the investigation of issues within Knowledge management.
His study in Process modeling is interdisciplinary in nature, drawing from both Process mining, Business process, User requirements document, Change management and Work in process.
His Requirements engineering study combines topics in areas such as Python, Systems engineering, Java and JavaScript.
His Health care research is multidisciplinary, incorporating elements of Domain, Risk analysis and Identification.
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