Brigitte Mathiak
- Artificial Intelligence top 10%
- Information Systems top 10%
- Molecular Biology
- Management Science and Operations Research
- Computer Networks and Communications
- Co-authors
- Philipp MayrDagmar KernTobias MahlmannChristoph SalgeThomas KrämerChristian LipskiJulien ColombPeter Kraker
- Topics
- Semantic Web and Ontologies (15 papers)Advanced Database Systems and Queries (9 papers)Research Data Management Practices (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaD-Lib MagazineSemantic Web
- Partner nations
- GermanyUnited KingdomAlgeria
In The Last Decade
Brigitte Mathiak
21 papers receiving 154 citations
Peers
Comparison fields: 5 of 57
- Artificial Intelligence 109
- Information Systems 71
- Molecular Biology 40
- Management Science and Operations Research 26
- Computer Networks and Communications 24
Countries citing papers authored by Brigitte Mathiak
This map shows the geographic impact of Brigitte Mathiak'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 Brigitte Mathiak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brigitte Mathiak more than expected).
Fields of papers citing papers by Brigitte Mathiak
This network shows the impact of papers produced by Brigitte Mathiak. 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 Brigitte Mathiak. The network helps show where Brigitte Mathiak may publish in the future.
Co-authorship network of co-authors of Brigitte Mathiak
This figure shows the co-authorship network connecting the top 25 collaborators of Brigitte Mathiak. A scholar is included among the top collaborators of Brigitte Mathiak 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 Brigitte Mathiak. Brigitte Mathiak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | Digital Scholarly Editions as Interfaces | 6 |
| 11 | 2 | |
| 12 | Performing statistical methods on linked data | 7 |
| 13 | XSLT transformation generating OWL ontologies automatically based on XML Schemas | 14 |
| 14 | 4 | |
| 15 | 33 | |
| 16 | 5 | |
| 17 | Methods for a Synchronised Evolution of Databases and Associated Ontologies | 2 |
| 18 | Analysing layout information: searching PDF documents for pictures. | 0 |
| 19 | 0 | |
| 20 | 1 |
About Brigitte Mathiak
Brigitte Mathiak is a scholar working on Artificial Intelligence, Management Science and Operations Research and Information Systems, having authored 39 papers that have together received 199 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (15 papers), Advanced Database Systems and Queries (9 papers) and Research Data Management Practices (7 papers). The work is most often cited by research in Artificial Intelligence (109 citations), Information Systems (71 citations) and Information Systems and Management (21 citations). Brigitte Mathiak has collaborated with scholars based in Germany, United Kingdom and Algeria. Frequent co-authors include Philipp Mayr, Dagmar Kern, Tobias Mahlmann, Christoph Salge, Thomas Krämer, Christian Lipski, Julien Colomb, Peter Kraker, Nick Juty and Philipp Schaer. Their work appears in journals such as SHILAP Revista de lepidopterología, D-Lib Magazine and Semantic Web.
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.