Peter Fettke

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Constantin HouyResearcher, DFKI SaarbrückenVerified email at iwi.dfki.de
Jana-Rebecca RehseJunior Professor, University of MannheimVerified email at uni-mannheim.de
Nijat MehdiyevSenior Researcher, German Research Center for Artificial IntelligenceVerified email at dfki.de
Tom ThalerInstitute for Information Systems (IWi) at the German Research Center for Artificial Intelligence (DFKI) and Saarland UniversityVerified email at iwi.dfki.de
Heiner LasiFerdinand-Steinbeis-InstitutVerified email at steinbeis-fsti.de
Philip HakeInstitut für Wirtschaftsinformatik, Saarland Informatics CampusVerified email at dfki.de
Joerg EvermannMemorial University of NewfoundlandVerified email at mun.ca
Wolfgang ReisigHumboldt-Universität zu BerlinVerified email at informatik.hu-berlin.de
Johannes LahannDeutsche Forschungszentrum für Künstliche Intelligenz GmbHVerified email at dfki.de
Tim NiesenInstitut für Wirtschaftsinformatik im Deutschen Forschungszentrum für Künstliche Intelligenz (DFKI)Verified email at iwi.dfki.de
Andreas OberweisProfessor of Applied Computer Science, Karlsruhe Institute of TechnologyVerified email at kit.edu
Peter PfeifferGerman Research Center for Artificial Intelligence (DFKI), Saarland Informatics Campus (SIC)Verified email at dfki.de
Sharam DadashniaDFKIVerified email at iwi.dfki.de
Ulrich FrankUniversität Duisburg-EssenVerified email at uni-due.de
Martin ScheidGerman Research Center for Artificial Intelligence and Saarland UniversityVerified email at martin-scheid.de
S. Balzert-WalterDFKI, Saarland Informatics CampusVerified email at dfki.de
Wil van der AalstProfessor of Process and Data Science, RWTH Aachen University || Celonis || Fraunhofer FIT || TU/eVerified email at pads.rwth-aachen.de
J KrogstieProfessor in information systems IDI, NTNUVerified email at ntnu.no
Sönke KnochGerman Research Center for Artificial Intelligence, Saarland Informatics CampusVerified email at dfki.de
Filip FatzGerman Research Center for Artificial IntelligenceVerified email at dfki.de

Peter Fettke

DFKI, Saarland University

Verified email at dfki.de - Homepage

Business Informatics Conceptual Modeling Process Mining


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Industry 4.0 H Lasi, P Fettke, HG Kemper, T Feld, M Hoffmann Business & information systems engineering 6, 239-242, 2014	6331	2014
State-of-the-Art des State-of-the-Art P Fettke Wirtschaftsinformatik 48 (4), 257-266, 2006	475	2006
Predicting process behaviour using deep learning J Evermann, JR Rehse, P Fettke Decision Support Systems, 2017	437	2017
Empirical research in business process management–analysis of an emerging field of research C Houy, P Fettke, P Loos Business Process Management Journal 16 (4), 619-661, 2010	391	2010
Classification of reference models: a methodology and its application P Fettke, P Loos Information systems and e-business management 1, 35-53, 2003	390	2003
Industrie 4.0 H Lasi, P Fettke, HG Kemper, T Feld, M Hoffmann Wirtschaftsinformatik 56, 261-264, 2014	305	2014
Referenzmodellierungsforschung P Fettke, P Loos Wirtschaftsinformatik 5 (46), 331-340, 2004	295	2004
Perspectives on reference modeling P Fettke, P Loos Reference modeling for business systems analysis, 1-21, 2007	288*	2007
Business process reference models: Survey and classification P Fettke, P Loos, J Zwicker International Conference on Business Process Management, 469-483, 2005	258	2005
How conceptual modeling is used P Fettke Communications of the Association for Information Systems 25 (1), 43, 2009	180	2009
A deep learning approach for predicting process behaviour at runtime J Evermann, JR Rehse, P Fettke Business Process Management Workshops: BPM 2016 International Workshops, Rio …, 2017	150	2017
Time series classification using deep learning for process planning: A case from the process industry N Mehdiyev, J Lahann, A Emrich, D Enke, P Fettke, P Loos Procedia Computer Science 114, 242-249, 2017	143	2017
A systematic literature review on state-of-the-art deep learning methods for process prediction DA Neu, J Lahann, P Fettke Artificial Intelligence Review 55 (2), 801-827, 2022	141	2022
Ontological evaluation of reference models using the Bunge-Wand-Weber model P Fettke, P Loos AMCIS 2003 Proceedings, 384, 2003	139	2003
Towards an integrative big data analysis framework for data-driven risk management in industry 4.0 T Niesen, C Houy, P Fettke, P Loos 2016 49th Hawaii international conference on system sciences (HICSS), 5065-5074, 2016	135	2016
Evaluating forecasting methods by considering different accuracy measures N Mehdiyev, D Enke, P Fettke, P Loos Procedia Computer Science 95, 264-271, 2016	107	2016
The Process Model Matching Contest 2013 U Cayoglu, R Dijkman, M Dumas, P Fettke, L Garcıa-Banuelos, P Hake, ... 4th International Workshop on Process Model Collections: Management and …, 2013	106*	2013
Multiperspective evaluation of reference models–towards a framework P Fettke, P Loos International Conference on Conceptual Modeling, 80-91, 2003	100	2003
A novel business process prediction model using a deep learning method N Mehdiyev, J Evermann, P Fettke Business & information systems engineering 62, 143-157, 2020	99	2020
The Research Field “Modeling Business Information Systems” Current Challenges and Elements of a Future Research Agenda U Frank, S Strecker, P Fettke, J Vom Brocke, J Becker, E Sinz Wirtschaftsinformatik 56, 49-54, 2014	97*	2014

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