Correction: Large Process Models: A Vision for Business Process Management in the Age of Generative AI

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Publication Details

Journal
KI - Künstliche Intelligenz
Published
2024-12-19
DOI
https://doi.org/10.1007/s13218-024-00884-3
Citations
10
Primary Topic
Business Process Modeling and Analysis
Type
article
Field-Weighted Citation Impact
5.29
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article

Correction: Large Process Models: A Vision for Business Process Management in the Age of Generative AI

Ron Agam, Gero Decker, Timotheus Kampik, Johannes Hoffart et al.
10 citations
KI - Künstliche Intelligenz
Business Process Modeling and Analysis
5.29
article

Correction: Large Process Models: A Vision for Business Process Management in the Age of Generative AI

Ron Agam, Gero Decker, Timotheus Kampik, Johannes Hoffart, Artem Polyvyanyy, Andreas Gerber, Han van der Aa, Christian Warmuth, Adrian Rebmann, Matthias Weidlich, Stefanie Rinderle‐Ma, Ingo Weber, L. Egger, Jonas Kolk, Philipp Herzig
article en
10 citations

Abstract

No abstract available for this paper.
KI - Künstliche IntelligenzVol. 39(4)
University of Vienna (AT), The University of Melbourne (AU), Humboldt-Universität zu Berlin (DE), Technical University of Munich (DE)
Openalex Percentile: Top 4%
Business Process Modeling and Analysis
5.29
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