Daniela Gerz

13 papers and 491 indexed citations i.

About

Daniela Gerz is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Daniela Gerz has authored 13 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Information Systems. Recurrent topics in Daniela Gerz’s work include Natural Language Processing Techniques (13 papers), Topic Modeling (13 papers) and Speech and dialogue systems (6 papers). Daniela Gerz is often cited by papers focused on Natural Language Processing Techniques (13 papers), Topic Modeling (13 papers) and Speech and dialogue systems (6 papers). Daniela Gerz collaborates with scholars based in United Kingdom, Israel and United States. Daniela Gerz's co-authors include Ivan Vulić, Anna Korhonen, Matthew Henderson, Roi Reichart, Iñigo Casanueva, Felix Hill, Edoardo Maria Ponti, Douwe Kiela, Pei-Hao Su and Tsung-Hsien Wen and has published in prestigious journals such as Computational Linguistics, Transactions of the Association for Computational Linguistics and Monash University Research Portal (Monash University).

In The Last Decade

Co-authorship network of co-authors of Daniela Gerz i

Fields of papers citing papers by Daniela Gerz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniela Gerz

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025