D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 52 Citations 11,028 216 World Ranking 2547 National Ranking 113

Overview

What is he best known for?

The fields of study he is best known for:

  • Programming language
  • Operating system
  • Database

His scientific interests lie mostly in Business process, Business process management, Business process modeling, Business Process Model and Notation and Software engineering. Business process is a subfield of Process that Mathias Weske explores. His studies in Business process management integrate themes in fields like Knowledge management and Process management.

His Business process modeling study focuses on Artifact-centric business process model in particular. He focuses mostly in the field of Business Process Model and Notation, narrowing it down to matters related to Business Process Execution Language and, in some cases, Systems engineering. His Software engineering study integrates concerns from other disciplines, such as Web service, Semantics of Business Vocabulary and Business Rules and Workflow technology, XPDL, Workflow.

His most cited work include:

  • Business Process Management: Concepts, Languages, Architectures (1152 citations)
  • Business process management: a survey (1135 citations)
  • Case handling: a new paradigm for business process support (660 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of investigation include Business process, Business process management, Software engineering, Process modeling and Business process modeling. His Business process research integrates issues from Data science and Process management. His biological study spans a wide range of topics, including Blockchain and Knowledge management.

As part of the same scientific family, Mathias Weske usually focuses on Software engineering, concentrating on Workflow and intersecting with Event-driven process chain and Petri net. Mathias Weske studied Process modeling and Theoretical computer science that intersect with Concurrency. Artifact-centric business process model and Business process discovery are the core of his Business process modeling study.

He most often published in these fields:

  • Business process (45.17%)
  • Business process management (31.53%)
  • Software engineering (30.11%)

What were the highlights of his more recent work (between 2017-2021)?

  • Business process (45.17%)
  • Business process management (31.53%)
  • Process (28.69%)

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

Mathias Weske mainly investigates Business process, Business process management, Process, Software engineering and Data science. His research in the fields of Business Process Model and Notation overlaps with other disciplines such as Data objects. Mathias Weske has included themes like Process modeling, Service, Process management, Semantics and Business process modeling in his Business process management study.

The Process study combines topics in areas such as Event, Work in process, Modeling language and Blockchain. His Software engineering research incorporates themes from Object and Design science. His Data science research includes elements of Data modeling, Process mining, Ubiquitous computing, Field and Bridging.

Between 2017 and 2021, his most popular works were:

  • Blockchains for Business Process Management - Challenges and Opportunities (230 citations)
  • Matching events and activities by integrating behavioral aspects and label analysis (15 citations)
  • Modeling and Enforcing Blockchain-Based Choreographies (14 citations)

In his most recent research, the most cited papers focused on:

  • Operating system
  • Programming language
  • Database

Mathias Weske mostly deals with Business process, Process, Business process management, Software engineering and Business Process Model and Notation. His Business process research incorporates elements of Blockchain and Data science. His research investigates the link between Business process management and topics such as Process modeling that cross with problems in Data-driven, Process management, Data model and Unified Modeling Language.

His Software engineering study integrates concerns from other disciplines, such as Object, Modeling language, Design science and Process elicitation. His Business Process Model and Notation study necessitates a more in-depth grasp of Business process modeling. His work on Business process discovery and Conformance checking as part of general Business process modeling study is frequently connected to Health care, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Business Process Management: Concepts, Languages, Architectures

Mathias Weske.
(2007)

4040 Citations

Business process management: a survey

Wil M. P. Van Der Aalst;Arthur H. M. Ter Hofstede;Mathias Weske.
business process management (2003)

2276 Citations

Case handling: a new paradigm for business process support

Wil M. P. van der Aalst;Mathias Weske.
data and knowledge engineering (2005)

914 Citations

The P2P Approach to Interorganizational Workflows

Wil M. P. van der Aalst;Mathias Weske.
conference on advanced information systems engineering (2001)

425 Citations

Efficient Compliance Checking Using BPMN-Q and Temporal Logic

Ahmed Awad;Gero Decker;Mathias Weske.
business process management (2008)

366 Citations

BPEL4Chor: Extending BPEL for Modeling Choreographies

G. Decker;O. Kopp;F. Leymann;M. Weske.
international conference on web services (2007)

355 Citations

Advances in business process management

M. Weske;W. M. P. van der Aalst;H. M. W. Verbeek.
business process management (2004)

350 Citations

Blockchains for Business Process Management - Challenges and Opportunities

Jan Mendling;Ingo Weber;Wil Van Der Aalst;Jan Vom Brocke.
acm transactions on management information systems (2018)

300 Citations

Efficient Consistency Measurement Based on Behavioral Profiles of Process Models

M Weidlich;J Mendling;M Weske.
IEEE Transactions on Software Engineering (2011)

286 Citations

Using the π-calculus for formalizing workflow patterns

Frank Puhlmann;Mathias Weske.
business process management (2005)

263 Citations

Best Scientists Citing Mathias Weske

Manfred Reichert

Manfred Reichert

University of Ulm

Publications: 213

Wil M. P. van der Aalst

Wil M. P. van der Aalst

RWTH Aachen University

Publications: 133

Jan Mendling

Jan Mendling

Humboldt-Universität zu Berlin

Publications: 117

Hajo A. Reijers

Hajo A. Reijers

Utrecht University

Publications: 106

Frank Leymann

Frank Leymann

University of Stuttgart

Publications: 94

Barbara Weber

Barbara Weber

University of St. Gallen

Publications: 85

Marlon Dumas

Marlon Dumas

University of Tartu

Publications: 81

Stefanie Rinderle-Ma

Stefanie Rinderle-Ma

Technical University of Munich

Publications: 80

Ingo Weber

Ingo Weber

Technical University of Berlin

Publications: 66

Marco Montali

Marco Montali

Free University of Bozen-Bolzano

Publications: 56

Marcello La Rosa

Marcello La Rosa

University of Melbourne

Publications: 50

Arthur H. M. ter Hofstede

Arthur H. M. ter Hofstede

Queensland University of Technology

Publications: 48

Fabrizio Maria Maggi

Fabrizio Maria Maggi

Free University of Bozen-Bolzano

Publications: 47

Matthias Weidlich

Matthias Weidlich

Humboldt-Universität zu Berlin

Publications: 47

Peter Dadam

Peter Dadam

University of Ulm

Publications: 44

Mario Piattini

Mario Piattini

University of Castilla-La Mancha

Publications: 44

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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