Christopher Klinkmüller

597 citations
7 papers · 44 · h-index 4

Impact in

    • Business Process Modeling and Analysis
    • Big Data and Business Intelligence
    • Information Technology Governance and Strategy
    • Service-Oriented Architecture and Web Services
    • Blockchain Technology Applications and Security

Papers in

Christopher Klinkmüller

6 papers receiving 43 citations

Peers

Christopher Klinkmüller
Comparison fields: 5 of 21
  • Management Information Systems 31
  • Information Systems 30
  • Management Science and Operations Research 10
  • Artificial Intelligence 14
  • Information Systems and Management 2
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Emmanuel Helm Austria
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Ilaria Angela Amantea Italy
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Citations per year

Countries citing papers authored by Christopher Klinkmüller

Since Specialization
Citations

This map shows the geographic impact of Christopher Klinkmüller's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Christopher Klinkmüller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Klinkmüller more than expected).

Fields of papers citing papers by Christopher Klinkmüller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher Klinkmüller. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Christopher Klinkmüller. The network helps show where Christopher Klinkmüller may publish in the future.

Co-authors

The 23 scholars most cited alongside Christopher Klinkmüller, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Christopher Klinkmüller Line = papers co-authored together Christopher Klinkmüller links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 201717
2
The Process Model Matching Contest 2013
201310
3 20239
4 20206
5 20241
6
Event Logs of Ethereum-Based Applications: A Collection of Resources for Process Mining on Blockchain Data.
20211
7
Modellgetriebene Integration von Logistik-Informationssystemen in die LSEM-Plattform.
20110

About Christopher Klinkmüller

Christopher Klinkmüller is a scholar working on Management Information Systems, Information Systems, Artificial Intelligence, Strategy and Management and Management Science and Operations Research, having authored 7 papers that have together received 44 indexed citations. Recurring topics across this work include Business Process Modeling and Analysis (6 papers), Service-Oriented Architecture and Web Services (5 papers), Semantic Web and Ontologies (3 papers), Big Data and Business Intelligence (2 papers), Supply Chain Resilience and Risk Management (1 paper), Corporate Governance and Management (1 paper), Food Supply Chain Traceability (1 paper) and Data Quality and Management (1 paper). The work is most often cited by research in Management Information Systems (31 citations), Information Systems (30 citations), Management Science and Operations Research (10 citations), Artificial Intelligence (14 citations) and Information Systems and Management (2 citations). Christopher Klinkmüller has collaborated with scholars based in Australia, Germany and United States. Frequent co-authors include Ingo Weber, Jan Pennekamp, Matthias Weidlich, Salil S. Kanhere, Jan Mendling, Klaus Wehrle, Remco Dijkman, Marlon Dumas, Luciano García‐Bañuelos and Volker Stich. Their work appears in journals such as Information Systems, ACM Computing Surveys, Decision Support Systems, Business & Information Systems Engineering and GI-Jahrestagung.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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