Julia Kreutzer

83 total papers · 1.4k total citations
12 papers, 91 citations indexed

About

Julia Kreutzer is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Surgery. According to data from OpenAlex, Julia Kreutzer has authored 12 papers receiving a total of 91 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Surgery. Recurrent topics in Julia Kreutzer's work include Natural Language Processing Techniques (7 papers), Topic Modeling (6 papers) and Multimodal Machine Learning Applications (2 papers). Julia Kreutzer is often cited by papers focused on Natural Language Processing Techniques (7 papers), Topic Modeling (6 papers) and Multimodal Machine Learning Applications (2 papers). Julia Kreutzer collaborates with scholars based in Germany, United States and Canada. Julia Kreutzer's co-authors include Stefan Riezler, André F. T. Martins, Sara Hooker, Artem Sokolov, Li Huang, Marzieh Fadaee, Ahmet Üstün, Olivier Pietquin, Wei-Yin Ko and Shayne Longpre and has published in prestigious journals such as VASA and RUA, Repositorio Institucional de la Universidad de Alicante (Universidad de Alicante).

In The Last Decade

Julia Kreutzer

10 papers receiving 85 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Julia Kreutzer 74 13 6 5 5 12 91
Roberta Răileanu 75 1.0× 20 1.5× 6 1.0× 7 1.4× 3 0.6× 10 107
Yunhui Long 117 1.6× 15 1.2× 11 1.8× 5 1.0× 7 1.4× 9 129
Tosin Adewumi 72 1.0× 15 1.2× 8 1.3× 3 0.6× 1 0.2× 18 98
Marzieh Fadaee 103 1.4× 31 2.4× 18 3.0× 6 1.2× 3 0.6× 9 119
Sarah Tan 83 1.1× 6 0.5× 3 0.5× 6 1.2× 3 0.6× 11 120
Marius Mosbach 72 1.0× 23 1.8× 10 1.7× 3 0.6× 2 0.4× 14 96
Kumar Shridhar 75 1.0× 14 1.1× 10 1.7× 4 0.8× 5 1.0× 13 97
Pouya Pezeshkpour 82 1.1× 8 0.6× 2 0.3× 5 1.0× 2 0.4× 11 96
Kshitij Fadnis 50 0.7× 7 0.5× 5 0.8× 11 2.2× 2 0.4× 13 61
Marco Antonio Sobrevilla Cabezudo 85 1.1× 8 0.6× 6 1.0× 4 0.8× 4 0.8× 18 89

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).

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.

Co-authorship network of co-authors of Julia Kreutzer

This figure shows the co-authorship network connecting the top 25 collaborators of Julia Kreutzer. A scholar is included among the top collaborators of Julia Kreutzer 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 Julia Kreutzer. Julia Kreutzer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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