Birgit Kirsch
Impact in
- Artificial Intelligence top 10%
- Explainable Artificial Intelligence (XAI)
- Topic Modeling
- Neural Networks and Applications
- Anomaly Detection Techniques and Applications
Papers in ⓘ
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- Public Relations and Crisis Communication 1
- Co-authors
- Sebastian Mayer (1 shared paper)Jochen Garcke (1 shared paper)Raoul Heese (1 shared paper)Michał Walczak (1 shared paper)Katharina Beckh (1 shared paper)Julius Pfrommer (1 shared paper)Bogdan Georgiev (1 shared paper)Christian Bauckhage (1 shared paper)
- Journals
- Sensors (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)Fraunhofer-Publica (Fraunhofer-Gesellschaft) (1 paper)
- Partner nations
- GermanySwitzerlandItaly
In The Last Decade
Birgit Kirsch
3 papers receiving 498 citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Health Informatics 11
- Artificial Intelligence 183
- Statistical and Nonlinear Physics 49
- Control and Systems Engineering 68
- Communication 20
Countries citing papers authored by Birgit Kirsch
This map shows the geographic impact of Birgit Kirsch'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 Birgit Kirsch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Birgit Kirsch more than expected).
Fields of papers citing papers by Birgit Kirsch
This network shows the impact of papers produced by Birgit Kirsch. 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 Birgit Kirsch. The network helps show where Birgit Kirsch may publish in the future.
Co-authors
The 22 scholars most cited alongside Birgit Kirsch, 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 | Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems Hit paper breakdown → | 2021 | 469 |
| 2 | 2017 | 49 | |
| 3 | 2022 | 1 |
About Birgit Kirsch
Birgit Kirsch is a scholar working on Geography, Planning and Development, Communication, Statistical and Nonlinear Physics, Artificial Intelligence and Epidemiology, having authored 3 papers that have together received 519 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (1 paper), Natural Language Processing Techniques (1 paper), Machine Learning and Algorithms (1 paper), Logic, Reasoning, and Knowledge (1 paper), Neural Networks and Applications (1 paper), Public Relations and Crisis Communication (1 paper), Model Reduction and Neural Networks (1 paper) and Data-Driven Disease Surveillance (1 paper). The work is most often cited by research in Health Informatics (11 citations), Artificial Intelligence (183 citations), Statistical and Nonlinear Physics (49 citations), Control and Systems Engineering (68 citations) and Communication (20 citations). Birgit Kirsch has collaborated with scholars based in Germany, Switzerland and Italy. Frequent co-authors include Sebastian Mayer, Jochen Garcke, Raoul Heese, Michał Walczak, Katharina Beckh, Julius Pfrommer, Bogdan Georgiev, Christian Bauckhage, Sven Giesselbach and Rajkumar Ramamurthy. Their work appears in journals such as Sensors, IEEE Transactions on Knowledge and Data Engineering and Fraunhofer-Publica (Fraunhofer-Gesellschaft).
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.