Julia Kreutzer

17 papers and 163 indexed citations i.

About

Julia Kreutzer is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research. According to data from OpenAlex, Julia Kreutzer has authored 17 papers receiving a total of 163 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 3 papers in Management Science and Operations Research. Recurrent topics in Julia Kreutzer’s work include Natural Language Processing Techniques (11 papers), Topic Modeling (11 papers) and Multimodal Machine Learning Applications (6 papers). Julia Kreutzer is often cited by papers focused on Natural Language Processing Techniques (11 papers), Topic Modeling (11 papers) and Multimodal Machine Learning Applications (6 papers). Julia Kreutzer collaborates with scholars based in Germany, United States and Canada. Julia Kreutzer's co-authors include Stefan Riezler, Artem Sokolov, Shahram Khadivi, Joshua Uyheng, Evgeny Matusov, André F. T. Martins, Li Huang, Colin Cherry, George Foster and Hagen Fürstenau and has published in prestigious journals such as VASA, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) and neural information processing systems.

In The Last Decade

Co-authorship network of co-authors of Julia Kreutzer i

Fields of papers citing papers by Julia Kreutzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Julia Kreutzer

Since Specialization
Citations

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