Julia Kreutzer

1.4k total citations
13 papers, 94 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 13 papers receiving a total of 94 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, Lithuania and Canada. Julia Kreutzer's co-authors include Stefan Riezler, André F. T. Martins, Li Huang, Artem Sokolov, Sara Hooker, Ahmet Üstün, Marzieh Fadaee, Daniel D’souza, Zheng Yong and Matthias Gallé 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

11 papers receiving 88 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Julia Kreutzer Germany	5	76	13	6	5	5	13	94
Tosin Adewumi Sweden	7	73 1.0×	16 1.2×	8 1.3×	3 0.6×	2 0.4×	18	101
Ayesha Bajwa Hong Kong	3	48 0.6×	7 0.5×	5 0.8×	6 1.2×	10 2.0×	4	65
Marzieh Fadaee Netherlands	4	106 1.4×	31 2.4×	18 3.0×	6 1.2×	3 0.6×	10	123
Marius Mosbach Germany	6	74 1.0×	23 1.8×	10 1.7×	3 0.6×	2 0.4×	16	98
Eric Mitchell United States	5	49 0.6×	11 0.8×	7 1.2×	6 1.2×	4 0.8×	11	77
David Ifeoluwa Adelani Germany	6	68 0.9×	15 1.2×	5 0.8×	3 0.6×		28	88
Pouya Pezeshkpour United States	5	83 1.1×	8 0.6×	2 0.3×	5 1.0×	2 0.4×	11	99
Kshitij Fadnis United States	4	50 0.7×	7 0.5×	5 0.8×	11 2.2×	2 0.4×	13	61
Bo-Hsiang Tseng United Kingdom	6	89 1.2×	18 1.4×	8 1.3×	4 0.8×	3 0.6×	16	102
Jacob Montiel New Zealand	4	58 0.8×	7 0.5×	8 1.3×	5 1.0×	4 0.8×	13	73

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

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

1.

Yong, Zheng, Beyza Ermiş, Marzieh Fadaee, Stephen Bach, & Julia Kreutzer. (2025). The State of Multilingual LLM Safety Research: From Measuring The Language Gap To Mitigating It. 15856–15871.

2.

Kreutzer, Julia, et al.. (2024). RLHF Can Speak Many Languages: Unlocking Multilingual Preference Optimization for LLMs. 13134–13156. 3 indexed citations

3.

Ermiş, Beyza, et al.. (2024). The Multilingual Alignment Prism: Aligning Global and Local Preferences to Reduce Harm. 12027–12049. 2 indexed citations

4.

Gallé, Matthias, Marzieh Fadaee, Julia Kreutzer, et al.. (2024). Back to Basics: Revisiting REINFORCE-Style Optimization for Learning from Human Feedback in LLMs. 12248–12267. 4 indexed citations

5.

Üstün, Ahmet, Zheng Yong, Wei-Yin Ko, et al.. (2024). Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model. 15894–15939. 17 indexed citations

6.

Ruder, Sebastian, et al.. (2024). LLM See, LLM Do: Leveraging Active Inheritance to Target Non-Differentiable Objectives. 9243–9267. 1 indexed citations

7.

Ogueji, Kelechi, et al.. (2022). Intriguing Properties of Compression on Multilingual Models. 9092–9110. 2 indexed citations

8.

Rudolf, Henrik, Julia Kreutzer, Renate Klaaßen‐Mielke, et al.. (2021). Socioeconomic factors and the onset of peripheral artery disease in older adults. VASA. 50(5). 341–347. 2 indexed citations

9.

Kreutzer, Julia, et al.. (2020). KINNEWS and KIRNEWS: Benchmarking Cross-Lingual Text Classification for Kinyarwanda and Kirundi. 5507–5521. 10 indexed citations

10.

Kreutzer, Julia, et al.. (2018). A Reinforcement Learning Approach to Interactive-Predictive Neural Machine Translation. RUA, Repositorio Institucional de la Universidad de Alicante (Universidad de Alicante). 169–178. 1 indexed citations

11.

Martins, André F. T. & Julia Kreutzer. (2017). Learning What's Easy: Fully Differentiable Neural Easy-First Taggers. 349–362. 7 indexed citations

12.

Sokolov, Artem, et al.. (2016). Learning Structured Predictors from Bandit Feedback for Interactive NLP. 1610–1620. 12 indexed citations

13.

Kreutzer, Julia, et al.. (2015). QUality Estimation from ScraTCH (QUETCH): Deep Learning for Word-level Translation Quality Estimation. 316–322. 33 indexed citations

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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