Dagmar Gromann

10 papers and 41 indexed citations i.

About

Dagmar Gromann is a scholar working on Artificial Intelligence, Language and Linguistics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Dagmar Gromann has authored 10 papers receiving a total of 41 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 3 papers in Language and Linguistics and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Dagmar Gromann’s work include Natural Language Processing Techniques (6 papers), Topic Modeling (5 papers) and Semantic Web and Ontologies (4 papers). Dagmar Gromann is often cited by papers focused on Natural Language Processing Techniques (6 papers), Topic Modeling (5 papers) and Semantic Web and Ontologies (4 papers). Dagmar Gromann collaborates with scholars based in Austria, Germany and Italy. Dagmar Gromann's co-authors include Sebastian Rudolph, Thierry Declerck, Michael Rovatsos, Aldo Gangemi, Gábor Bella, Ineke Schuurman, Elena‐Simona Apostol, Ciprian‐Octavian Truică, Christian Chiarcos and Gilles Sérasset and has published in prestigious journals such as Future Generation Computer Systems, AI Magazine and Language Resources and Evaluation.

In The Last Decade

Co-authorship network of co-authors of Dagmar Gromann i

Fields of papers citing papers by Dagmar Gromann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dagmar Gromann. 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 Dagmar Gromann. The network helps show where Dagmar Gromann may publish in the future.

Countries citing papers authored by Dagmar Gromann

Since Specialization
Citations

This map shows the geographic impact of Dagmar Gromann'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 Dagmar Gromann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dagmar Gromann more than expected).

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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2025