Johanna Barzen
- Artificial Intelligence top 5%
- Quantum Computing Algorithms and Architecture 27
- Quantum Information and Cryptography 14
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- Scientific Computing and Data Management 7
- Information Systems top 5%
- Cloud Computing and Resource Management 13
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques 4
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- Computability, Logic, AI Algorithms 6
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- Advanced Database Systems and Queries 3
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- Low-power high-performance VLSI design 3
- Co-authors
- Frank LeymannBenjamin WederMichael FalkenthalVladimir YussupovUwe BreitenbücherA. MandlMichael ZimmermannChristoph Fehling
- Journals
- SHILAP Revista de lepidopterología (3 papers)ACM Computing Surveys (1 paper)Electronics (3 papers)
In The Last Decade
Johanna Barzen
40 papers receiving 453 citations
Peers
Comparison fields: 5 of 47
- Artificial Intelligence 383
- Information Systems and Management 49
- Information Systems 152
- Hardware and Architecture 42
- Computational Theory and Mathematics 73
Countries citing papers authored by Johanna Barzen
This map shows the geographic impact of Johanna Barzen'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 Johanna Barzen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johanna Barzen more than expected).
Fields of papers citing papers by Johanna Barzen
This network shows the impact of papers produced by Johanna Barzen. 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 Johanna Barzen. The network helps show where Johanna Barzen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Johanna Barzen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 9 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 11 | |
| 5 | 2023 | 16 | |
| 6 | 2023 | 6 | |
| 7 | 2022 | 9 | |
| 8 | 2022 | 2 | |
| 9 | 2022 | 8 | |
| 10 | 2021 | 57 | |
| 11 | 2021 | 10 | |
| 12 | 2021 | 10 | |
| 13 | 2021 | 32 | |
| 14 | 2021 | 18 | |
| 15 | 2020 | 35 | |
| 16 | 2020 | 118 | |
| 17 | 2020 | 10 | |
| 18 | 2020 | 28 | |
| 19 | Ein Ansatz zur Unterstützung des Kostümmanagements im Film auf Basis einer Mustersprache | 2012 | 2 |
| 20 | Business Process Automation for Costume Management in Film Making: An Insight into Processes, Roles, and Document Structures. | 2012 | 2 |
About Johanna Barzen
Johanna Barzen is a scholar working on Information Systems and Management, Artificial Intelligence and Information Systems, having authored 44 papers that have together received 476 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (27 papers), Quantum Information and Cryptography (14 papers), Cloud Computing and Resource Management (13 papers), Scientific Computing and Data Management (7 papers), Computability, Logic, AI Algorithms (6 papers), Parallel Computing and Optimization Techniques (4 papers), Advanced Database Systems and Queries (3 papers) and Low-power high-performance VLSI design (3 papers). The work is most often cited by research in Artificial Intelligence (383 citations), Information Systems and Management (49 citations) and Information Systems (152 citations). Johanna Barzen has collaborated with scholars based in Germany, Austria and Italy. Frequent co-authors include Frank Leymann, Benjamin Weder, Michael Falkenthal, Vladimir Yussupov, Uwe Breitenbücher, A. Mandl, Michael Zimmermann, Christoph Fehling, David Schumm and Philipp Raith. Their work appears in journals such as SHILAP Revista de lepidopterología, ACM Computing Surveys and Electronics.
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.