What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Programming language
- Software
Jan Mendling spends much of his time researching Process modeling, Business process modeling, Process, Business process and Business Process Model and Notation.
His Process modeling research includes elements of Data mining, Petri net, Artificial intelligence, Work in process and Software engineering.
His Business process modeling research includes themes of Business process management, Quality and Process management.
His Process research integrates issues from Programming language, Matching, Notation, Empirical research and Data science.
He has included themes like XML, World Wide Web, Context and Blockchain in his Business process study.
His research in Business Process Model and Notation intersects with topics in Natural language and Quality assurance.
His most cited work include:
- Process Mining Manifesto (684 citations)
- Fundamentals of Business Process Management (508 citations)
- Similarity of business process models: Metrics and evaluation (468 citations)
What are the main themes of his work throughout his whole career to date?
Jan Mendling mainly investigates Process modeling, Business process modeling, Business process, Process and Business process management.
Jan Mendling has researched Process modeling in several fields, including Quality, Data mining, Artificial intelligence, Work in process and Software engineering.
His Business process modeling study combines topics in areas such as Management science and Knowledge management.
His Business process course of study focuses on Process management and Business analysis.
His research integrates issues of Reference model, Industrial engineering, Task, Notation and Set in his study of Process.
His Business Process Model and Notation research is multidisciplinary, incorporating perspectives in Programming language, Business Process Execution Language and Modeling language.
He most often published in these fields:
- Process modeling (42.94%)
- Business process modeling (39.27%)
- Business process (38.90%)
What were the highlights of his more recent work (between 2017-2021)?
- Business process (38.90%)
- Business process management (25.69%)
- Process (36.70%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Business process, Business process management, Process, Process mining and Process modeling.
His primary area of study in Business process is in the field of Business process modeling.
Jan Mendling is involved in the study of Business process modeling that focuses on Business process discovery in particular.
The Business process management study combines topics in areas such as Virtual machine, Distributed computing, Knowledge management and Process management.
His Process research incorporates elements of Resource, Task, Software engineering and Industrial engineering.
His Process modeling research incorporates themes from Executable, Artificial intelligence and Natural language processing.
Between 2017 and 2021, his most popular works were:
- Blockchains for Business Process Management - Challenges and Opportunities (230 citations)
- Conceptualizing smart service systems (83 citations)
- How do machine learning, robotic process automation, and blockchains affect the human factor in business process management? (34 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Programming language
- Software
Jan Mendling mainly focuses on Business process, Business process management, Process management, Process and Process mining.
His research related to Business Process Model and Notation and Business process modeling might be considered part of Business process.
His Business Process Model and Notation study incorporates themes from Process modeling, Organizational level, Modeling language and Architectural style.
He studies Business process discovery, a branch of Business process modeling.
The study incorporates disciplines such as Context, Field, Knowledge management and Artificial intelligence in addition to Business process management.
His research investigates the link between Process and topics such as Software engineering that cross with problems in Notation, Code and Face.
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