What is he best known for?
The fields of study he is best known for:
- Programming language
- Software
- Artificial intelligence
Arthur H. M. ter Hofstede mainly focuses on Software engineering, Business process, Business process modeling, Workflow and Process modeling.
Arthur H. M. ter Hofstede is involved in the study of Business process that focuses on Business process management in particular.
His studies in Business process management integrate themes in fields like Artificial intelligence, Business process discovery, Data science and Process management.
In the subject of general Business process modeling, his work in Business Process Model and Notation is often linked to Structure, thereby combining diverse domains of study.
His Workflow research includes elements of Collaborative software, Distributed computing, Petri net and Exception handling.
His biological study spans a wide range of topics, including Domain, Space, Data mining and Enterprise system.
His most cited work include:
- Business process management: a survey (1135 citations)
- Process Mining Manifesto (684 citations)
- Process Mining Manifesto (684 citations)
What are the main themes of his work throughout his whole career to date?
Arthur H. M. ter Hofstede mostly deals with Business process, Process, Process mining, Business process management and Business process modeling.
His research investigates the connection between Business process and topics such as Software engineering that intersect with issues in Workflow management system, XPDL, Systems engineering, Database and Workflow patterns.
The concepts of his Process study are interwoven with issues in Domain, Human–computer interaction, Risk analysis, Work in process and Workflow.
The Process mining study combines topics in areas such as Data mining, Business process discovery, Event, Data quality and Data science.
His research in Business process management intersects with topics in Scalability, Real-time computing, Process automation system, Risk management and Process management.
The Business process modeling study which covers Process modeling that intersects with Artificial intelligence and Theoretical computer science.
He most often published in these fields:
- Business process (43.43%)
- Process (32.66%)
- Process mining (35.69%)
What were the highlights of his more recent work (between 2015-2021)?
- Process mining (35.69%)
- Process (32.66%)
- Business process (43.43%)
In recent papers he was focusing on the following fields of study:
Process mining, Process, Business process, Event and Data science are his primary areas of study.
Arthur H. M. ter Hofstede has researched Process mining in several fields, including Quality, Data quality, Process modeling, Data mining and Business process discovery.
Arthur H. M. ter Hofstede studied Process modeling and Artifact-centric business process model that intersect with Business Process Model and Notation.
His study in Process is interdisciplinary in nature, drawing from both Domain, Visualization and Workflow.
His study involves Business process management and Business process modeling, a branch of Business process.
His studies deal with areas such as Automation and Software engineering as well as Business process management.
Between 2015 and 2021, his most popular works were:
- Filtering Out Infrequent Behavior from Business Process Event Logs (80 citations)
- Robotic Process Automation: Contemporary themes and challenges (32 citations)
- Workflow Patterns: The Definitive Guide (31 citations)
In his most recent research, the most cited papers focused on:
- Programming language
- Software
- Artificial intelligence
Arthur H. M. ter Hofstede spends much of his time researching Process mining, Event, Process, Business process and Data mining.
His Process mining research is multidisciplinary, incorporating elements of Process modeling, Data modeling, Business process discovery, Variety and Data quality.
His work deals with themes such as Relation, Theoretical computer science and Task, which intersect with Event.
The study incorporates disciplines such as Domain, Computation and Data science in addition to Process.
His research on Business process focuses in particular on Business process management.
His research integrates issues of Business Process Model and Notation, Process and Artifact-centric business process model in his study of Business process management.
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