Christine Preisach
- Artificial Intelligence
- Molecular Biology
- Computational Theory and Mathematics top 10%
- Information Systems
- Signal Processing
- Topics
- Text and Document Classification Technologies (2 papers)Advanced Graph Neural Networks (2 papers)Bayesian Modeling and Causal Inference (2 papers)
- Journals
- Knowledge and Information SystemsCERN Document Server (European Organization for Nuclear Research)Springer eBooks
- Partner nations
- Germany
In The Last Decade
Christine Preisach
5 papers receiving 282 citations
Peers
Comparison fields: 5 of 117
- Artificial Intelligence 83
- Molecular Biology 77
- Computational Theory and Mathematics 56
- Information Systems 40
- Signal Processing 34
Countries citing papers authored by Christine Preisach
This map shows the geographic impact of Christine Preisach'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 Christine Preisach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christine Preisach more than expected).
Fields of papers citing papers by Christine Preisach
This network shows the impact of papers produced by Christine Preisach. 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 Christine Preisach. The network helps show where Christine Preisach may publish in the future.
Co-authorship network of co-authors of Christine Preisach
This figure shows the co-authorship network connecting the top 25 collaborators of Christine Preisach. A scholar is included among the top collaborators of Christine Preisach 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 Christine Preisach. Christine Preisach is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Relational classification for personalized tag recommendation | 11 |
| 2 | Data Analysis, Machine Learning and Applications: Proceedings of the 31st Annual Conference of the Gesellschaft fr Klassifikation e.V., Albert-Ludwigs-Universitt ... Data Analysis, and Knowledge Organization) | 2 |
| 3 | 253 | |
| 4 | 20 | |
| 5 | 12 |
About Christine Preisach
Christine Preisach is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Information Systems, having authored 5 papers that have together received 298 indexed citations. Recurring topics across this work include Text and Document Classification Technologies (2 papers), Advanced Graph Neural Networks (2 papers) and Bayesian Modeling and Causal Inference (2 papers). The work is most often cited by research in Computational Theory and Mathematics (56 citations), Computational Mathematics (2 citations) and Signal Processing (34 citations). Christine Preisach has collaborated with scholars based in Germany. Frequent co-authors include Lars Schmidt-Thieme, Leandro Balby Marinho, Hans Burkhardt and Reinhold Decker. Their work appears in journals such as Knowledge and Information Systems, CERN Document Server (European Organization for Nuclear Research) and Springer eBooks.
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.