Stephan Haarmann

865 citations
5 papers · 494 · 1 hit paper · h-index 2

Impact in

Papers in

Stephan Haarmann

5 papers receiving 478 citations

Stephan Haarmann's Hit Papers

CEUR workshop proceedings 2021 · 486 citations
4860+1+3Years since publication100200300400

Peers

Stephan Haarmann
Comparison fields: 5 of 126
  • Health Informatics 11
  • Human-Computer Interaction 31
  • Information Systems 120
  • Artificial Intelligence 153
  • Computer Science Applications 23
Replace Johannes Manner with:
Johannes Manner Germany
Nico Herzberg Germany
Dhanya Pramod India
Pantea Keikhosrokiani Malaysia
Ermatita Ermatita Indonesia
Panagiotis Mitzias Greece
Edi Abdurachman Indonesia
Andreas Menychtas Greece
Ram Krishn Mishra United Arab Emirates
Tranos Zuva South Africa
Stephan Haarmann relative to Johannes Manner Germany Johannes Manner's profile →
Citations per field
00.5×1.5×
Johannes Manner · 1×
Citations per year

Countries citing papers authored by Stephan Haarmann

Since Specialization
Citations

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

Fields of papers citing papers by Stephan Haarmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Stephan Haarmann, 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 Stephan Haarmann Line = papers co-authored together Stephan Haarmann links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1
CEUR workshop proceedings
Hit paper breakdown →
2021486
2
Production Case Management: A Prototypical Process Engine to Execute Flexible Business Processes.
20155
3
Fragment-Based Case Management Models: Metamodel, Consistency, & Correctness.
20211
4 20221
5 20211

About Stephan Haarmann

Stephan Haarmann is a scholar working on Management Information Systems, Information Systems, Artificial Intelligence, Sociology and Political Science and Software, having authored 5 papers that have together received 494 indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (4 papers), Business Process Modeling and Analysis (4 papers), Semantic Web and Ontologies (2 papers), Access Control and Trust (1 paper) and Model-Driven Software Engineering Techniques (1 paper). The work is most often cited by research in Health Informatics (11 citations), Human-Computer Interaction (31 citations), Information Systems (120 citations), Artificial Intelligence (153 citations) and Computer Science Applications (23 citations). Stephan Haarmann has collaborated with scholars based in Germany. Frequent co-authors include Johannes Manner, Stefan Kolb, Oliver Kopp, Nico Herzberg, Mathias Weske, Andreas Meyer and Luise Pufahl. Their work appears in journals such as Journal of Intelligent Information Systems and publish.UP (University of Potsdam).

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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