Henrik Leopold

35 papers receiving 443 citations

Peers

Henrik Leopold
Comparison fields: 5 of 64
  • Management Information Systems 341
  • Information Systems 275
  • Artificial Intelligence 210
  • Management Science and Operations Research 68
  • Industrial and Manufacturing Engineering 43
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Countries citing papers authored by Henrik Leopold

Since Specialization
Citations

This map shows the geographic impact of Henrik Leopold'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 Henrik Leopold with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Henrik Leopold more than expected).

Fields of papers citing papers by Henrik Leopold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Henrik Leopold. 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 Henrik Leopold. The network helps show where Henrik Leopold may publish in the future.

Co-authorship network of co-authors of Henrik Leopold

This figure shows the co-authorship network connecting the top 25 collaborators of Henrik Leopold. A scholar is included among the top collaborators of Henrik Leopold based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Henrik Leopold. Henrik Leopold is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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Proceedings of the Dissertation Award, Doctoral Consortium, and Demonstration Track at BPM 2019 co-located with 17th International Conference on Business Process Management, BPM 2019, Vienna, Austria, September 1-6, 2019
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7 9
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Challenges and Opportunities of Applying Natural Language Processing in Business Process Management
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9 10
10 30
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Supporting Process Model Validation through Natural Language Generation.
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Automatic detection and resolution of lexical ambiguity in process models.
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14 36
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Factors leading to business process noncompliance and its positive and negative effects: Empirical insights from a case study
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16 42
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19 51
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On the automatic labeling of process models
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About Henrik Leopold

Henrik Leopold is a scholar working on Management Information Systems, Information Systems and Artificial Intelligence, having authored 36 papers that have together received 476 indexed citations. Recurring topics across this work include Business Process Modeling and Analysis (27 papers), Service-Oriented Architecture and Web Services (13 papers) and Semantic Web and Ontologies (10 papers). The work is most often cited by research in Management Information Systems (341 citations), Information Systems (275 citations) and Artificial Intelligence (210 citations). Henrik Leopold has collaborated with scholars based in Netherlands, Germany and Austria. Frequent co-authors include Jan Mendling, Hajo A. Reijers, Han van der Aa, Artem Polyvyanyy, Sergey Smirnov, Leonardo Guerreiro Azevedo, Jan Recker, André Ludwig, Onur Demirörs and Banu Aysolmaz. Their work appears in journals such as ACM Computing Surveys, IEEE Transactions on Software Engineering and IEEE Transactions on Knowledge and Data Engineering.

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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