Brigitte Mathiak

32 papers receiving 283 citations

Peers

Brigitte Mathiak
Comparison fields: 5 of 60
  • Information Systems and Management 45
  • Management Science and Operations Research 74
  • Artificial Intelligence 194
  • Information Systems 133
  • Conservation 8
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Pavlos Fafalios Greece
Ingeborg Sølvberg Norway
Kai Eckert Germany
Osma Suominen Finland
Bernard Vatant France
Laurens Rietveld Netherlands
Yannis Marketakis Greece
Traugott Koch Sweden
Anita de Waard Netherlands
Costantino Thanos Italy
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Citations per year

Countries citing papers authored by Brigitte Mathiak

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Brigitte Mathiak, 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 Brigitte Mathiak Line = papers co-authored together Brigitte Mathiak links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200738
2 201331
3 201531
4 201226
5 202124
6 200819
7 200617
8
XSLT transformation generating OWL ontologies automatically based on XML Schemas
201115
9 201512
10
Performing statistical methods on linked data
201111
11 200611
12 200610
13 201310
14 20239
15 20078
16 20147
17
Digital Scholarly Editions as Interfaces
20187
18 20065
19
Defining and executing assessment tests on linked data for statistical analysis
20115
20
Methods for a Synchronised Evolution of Databases and Associated Ontologies
20065

About Brigitte Mathiak

Brigitte Mathiak is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Molecular Biology and Management Science and Operations Research, having authored 56 papers that have together received 334 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (20 papers), Advanced Database Systems and Queries (11 papers), Biomedical Text Mining and Ontologies (10 papers), Data Quality and Management (9 papers), Research Data Management Practices (8 papers), Advanced Text Analysis Techniques (6 papers), Data Management and Algorithms (5 papers) and Data Visualization and Analytics (4 papers). The work is most often cited by research in Information Systems and Management (45 citations), Management Science and Operations Research (74 citations), Artificial Intelligence (194 citations), Information Systems (133 citations) and Conservation (8 citations). Brigitte Mathiak has collaborated with scholars based in Germany, United Kingdom and Algeria. Frequent co-authors include Dagmar Kern, Philipp Mayr, Dominique Ritze, Kai Eckert, Christian Lipski, Thomas Krämer, Christoph Salge, Tobias Mahlmann, Julien Colomb and Philipp Schaer. Their work appears in journals such as Data Science Journal, Semantic Web, International Journal on Digital Libraries, D-Lib Magazine and Lecture notes in computer science.

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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