Stephanie Brandl

562 total citations
18 papers, 384 citations indexed

About

Stephanie Brandl is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Stephanie Brandl has authored 18 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Cognitive Neuroscience and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Stephanie Brandl's work include Topic Modeling (7 papers), EEG and Brain-Computer Interfaces (6 papers) and Natural Language Processing Techniques (5 papers). Stephanie Brandl is often cited by papers focused on Topic Modeling (7 papers), EEG and Brain-Computer Interfaces (6 papers) and Natural Language Processing Techniques (5 papers). Stephanie Brandl collaborates with scholars based in Germany, Denmark and South Korea. Stephanie Brandl's co-authors include Franziska Horn, Carsten Allefeld, Irene Winkler, Michael Tangermann, Anders Søgaard, Wojciech Samek, Klaus‐Robert Müller, Johannes Höhne, Ilias Chalkidis and Stella Frank and has published in prestigious journals such as Frontiers in Neuroscience, Journal of Neural Engineering and Transactions of the Association for Computational Linguistics.

In The Last Decade

Stephanie Brandl

18 papers receiving 380 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephanie Brandl Germany 7 268 82 45 44 25 18 384
Nuraini Jamil United Arab Emirates 7 206 0.8× 29 0.4× 11 0.2× 69 1.6× 26 1.0× 15 302
Alex Frid Israel 10 109 0.4× 54 0.7× 35 0.8× 15 0.3× 11 0.4× 23 261
Xiangbin Teng Germany 9 284 1.1× 31 0.4× 70 1.6× 19 0.4× 16 0.6× 16 322
Andrew X Stewart United States 4 298 1.1× 12 0.1× 57 1.3× 32 0.7× 16 0.6× 6 340
Xiaoou Li China 7 258 1.0× 25 0.3× 51 1.1× 29 0.7× 14 0.6× 17 306
Yasushi Naruse Japan 11 202 0.8× 24 0.3× 18 0.4× 29 0.7× 5 0.2× 49 291
Stéphanie Martin United States 6 213 0.8× 22 0.3× 28 0.6× 38 0.9× 21 0.8× 11 245
W. Mohl Austria 6 344 1.3× 26 0.3× 12 0.3× 55 1.3× 15 0.6× 6 365
Maitreyee Wairagkar United Kingdom 10 114 0.4× 63 0.8× 19 0.4× 29 0.7× 23 0.9× 23 253

Countries citing papers authored by Stephanie Brandl

Since Specialization
Citations

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

Fields of papers citing papers by Stephanie Brandl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephanie Brandl

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

All Works

18 of 18 papers shown
1.
Brandl, Stephanie, Emanuele Bugliarello, & Ilias Chalkidis. (2024). On the Interplay between Fairness and Explainability. 94–108. 1 indexed citations
2.
Chalkidis, Ilias & Stephanie Brandl. (2024). Llama meets EU: Investigating the European political spectrum through the lens of LLMs. Research at the University of Copenhagen (University of Copenhagen). 481–498. 2 indexed citations
3.
Brandl, Stephanie, et al.. (2023). Domain-Specific Word Embeddings with Structure Prediction. Transactions of the Association for Computational Linguistics. 11. 320–335. 1 indexed citations
4.
Eberle, Oliver, et al.. (2023). Rather a Nurse than a Physician - Contrastive Explanations under Investigation. Research at the University of Copenhagen (University of Copenhagen). 6907–6920. 2 indexed citations
5.
Bugliarello, Emanuele, et al.. (2023). Evaluating Bias and Fairness in Gender-Neutral Pretrained Vision-and-Language Models. Research at the University of Copenhagen (University of Copenhagen). 8465–8483. 1 indexed citations
6.
Eberle, Oliver, et al.. (2022). Do Transformer Models Show Similar Attention Patterns to Task-Specific Human Gaze?. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 4295–4309. 11 indexed citations
7.
Hershcovich, Daniel, Stella Frank, Miryam de Lhoneux, et al.. (2022). Challenges and Strategies in Cross-Cultural NLP. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 6997–7013. 52 indexed citations
8.
Brandl, Stephanie & Nora Hollenstein. (2022). Every word counts: A multilingual analysis of individual human alignment with model attention. 72–77. 3 indexed citations
9.
Brandl, Stephanie, et al.. (2022). A Cross-lingual Comparison of Human and Model Relative Word Importance. Research at the University of Copenhagen (University of Copenhagen). 1 indexed citations
10.
Brandl, Stephanie, Daniel Hershcovich, & Anders Søgaard. (2022). Evaluating Deep Taylor Decomposition for Reliability Assessment in the Wild. Proceedings of the International AAAI Conference on Web and Social Media. 16. 1368–1372. 1 indexed citations
11.
Brandl, Stephanie, et al.. (2022). How Conservative are Language Models? Adapting to the Introduction of Gender-Neutral Pronouns. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 3624–3630. 11 indexed citations
12.
Brandl, Stephanie & Benjamin Blankertz. (2020). Motor Imagery Under Distraction— An Open Access BCI Dataset. Frontiers in Neuroscience. 14. 566147–566147. 7 indexed citations
13.
Brandl, Stephanie, et al.. (2019). Times Are Changing: Investigating the Pace of Language Change in Diachronic Word Embeddings. 146–150. 3 indexed citations
14.
Brandl, Stephanie, et al.. (2016). Brain–computer interfacing under distraction: an evaluation study. Journal of Neural Engineering. 13(5). 56012–56012. 19 indexed citations
15.
Brandl, Stephanie, Klaus‐Robert Müller, & Wojciech Samek. (2016). Alternative CSP approaches for multimodal distributed BCI data. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 3742–3747. 2 indexed citations
16.
Brandl, Stephanie, Klaus‐Robert Müller, & Wojciech Samek. (2015). Robust common spatial patterns based on Bhattacharyya distance and Gamma divergence. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 26. 1–4. 6 indexed citations
17.
Brandl, Stephanie, Johannes Höhne, Klaus‐Robert Müller, & Wojciech Samek. (2015). Bringing BCI into everyday life: Motor imagery in a pseudo realistic environment. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 224–227. 10 indexed citations
18.
Winkler, Irene, et al.. (2014). Robust artifactual independent component classification for BCI practitioners. Journal of Neural Engineering. 11(3). 35013–35013. 251 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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