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Data & Knowledge Engineering
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Data & Knowledge Engineering
Article . 2004 . Peer-reviewed
License: Elsevier TDM
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Advances in business process management

Authors: Weske, Mathias; van der Aalst, Wil M. P.; Verbeek, H. M. W.;

Advances in business process management

Abstract

This special issue of Data & Knowledge Engineering contains extended versions of four papers selected from the best papers of the ‘‘International Conference on Business Process Management: On the Application of Formal Methods to Process-Aware Information Systems’’ that took place in Eindhoven (The Netherlands) in June 2003. To put the contributions to this special issue into a wider perspective, we first provide a brief overview of the scientific and practical issues in the context of Business Process Management (BPM) systems, followed by a brief introduction of the selected papers.

Country
Germany
Keywords

Institut für Informatik und Computational Science

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    163
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
163
Top 10%
Top 1%
Top 10%
hybrid