D-Index & Metrics Best Publications
Business and Management
Germany
2022

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
Business and Management D-index 52 Citations 10,962 212 World Ranking 329 National Ranking 7

Research.com Recognitions

Awards & Achievements

2022 - Research.com Business and Management in Germany Leader Award

2018 - Fellow of the Association for Information Systems (AIS)

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Management
  • Programming language

Jan C. Recker focuses on Process modeling, Business process management, Knowledge management, Business Process Model and Notation and Business process modeling. The Process modeling study combines topics in areas such as Soft systems methodology, Business domain, Data modeling, Representation and Work in process. His Business process management study is concerned with the field of Business process as a whole.

His research in Knowledge management intersects with topics in Sustainable business, Sustainability, Organizational culture and Identification. His Business Process Model and Notation study combines topics in areas such as Empirical evidence, Management science, Business rule, Artificial intelligence and XPDL. His Business process modeling research integrates issues from Business model and Process management.

His most cited work include:

  • How Much Language Is Enough? Theoretical and Practical Use of the Business Process Modeling Notation (320 citations)
  • Business process modeling - a comparative analysis (289 citations)
  • Blockchains for Business Process Management - Challenges and Opportunities (230 citations)

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

Jan C. Recker mainly investigates Knowledge management, Process modeling, Business process management, Business process modeling and Business process. In his study, Data science is strongly linked to Empirical research, which falls under the umbrella field of Knowledge management. The study incorporates disciplines such as Management science, Business Process Model and Notation, Rule-based machine translation, Work in process and Software engineering in addition to Process modeling.

His Business Process Model and Notation research includes elements of Modeling language and XPDL. His biological study deals with issues like Process management, which deal with fields such as New business development, Business analysis and Business process reengineering. His study in Business process modeling focuses on Artifact-centric business process model and Business process discovery.

He most often published in these fields:

  • Knowledge management (37.24%)
  • Process modeling (33.33%)
  • Business process management (28.39%)

What were the highlights of his more recent work (between 2016-2021)?

  • Knowledge management (37.24%)
  • Business process management (28.39%)
  • Entrepreneurship (4.69%)

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

His scientific interests lie mostly in Knowledge management, Business process management, Entrepreneurship, Association and Replication. His study in the field of Open innovation also crosses realms of Information technology, Success factors and IP address management. His Business process management study contributes to a more complete understanding of Business process.

His study connects Blockchain and Business process. His Entrepreneurship research incorporates elements of Duration and Engineering ethics. His work carried out in the field of Replication brings together such families of science as Library science, Excellence and Professional association.

Between 2016 and 2021, his most popular works were:

  • Blockchains for Business Process Management - Challenges and Opportunities (230 citations)
  • Digital technologies as external enablers of new venture creation in the IT hardware sector (68 citations)
  • Digital technologies as external enablers of new venture creation in the IT hardware sector (68 citations)

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

  • Management
  • Artificial intelligence
  • Programming language

Jan C. Recker mainly focuses on Knowledge management, Business process management, Process management, Business process and Entrepreneurship. His work deals with themes such as Dialectic and Set, which intersect with Knowledge management. In his articles, Jan C. Recker combines various disciplines, including Business process management and Work systems.

His studies deal with areas such as Agile software development, Communication channel and Process management as well as Process management. Jan C. Recker has included themes like Strategic management, Environmental resource management, Blockchain, Transparency and Sustainability in his Business process study. His research brings together the fields of Duration and Entrepreneurship.

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

How Much Language is Enough? Theoretical and Practical Use of the Business Process Modeling Notation

Michael Zur Muehlen;Jan Recker.
Seminal Contributions to Information Systems Engineering: 25 Years of CAiSE, 2013, ISBN 9783642369254, págs. 429-444 (2013)

579 Citations

Business process modeling - a comparative analysis

Jan C. Recker;Michael Rosemann;Marta Indulska;Peter Green.
Journal of the Association for Information Systems (2009)

516 Citations

Scientific Research in Information Systems: A Beginner's Guide

Jan Recker.
(2012)

509 Citations

Sensemaking and sustainable practicing: functional affordances of information systems in green transformations

Stefan Seidel;Jan Recker;Jan Vom Brocke.
Management Information Systems Quarterly (2013)

431 Citations

Opportunities and constraints: the current struggle with BPMN

Jan C. Recker.
Business Process Management Journal (2010)

387 Citations

Activity labeling in process modeling: Empirical insights and recommendations

J. Mendling;H. A. Reijers;J. Recker.
Information Systems (2010)

332 Citations

Contextualisation of business processes

Michael Rosemann;Jan C. Recker;Christian Flender.
International Journal of Business Process Integration and Management (2008)

318 Citations

Ten principles of good business process management

Jan vom Brocke;Theresa Schmiedel;Jan C. Recker;Peter Trkman.
Business Process Management Journal (2014)

316 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

Business Process Modeling: Current Issues and Future Challenges

Marta Indulska;Jan Recker;Michael Rosemann;Peter Green.
conference on advanced information systems engineering (2009)

290 Citations

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