Stephanie Brandl
- Cognitive Neuroscience top 5%
- Artificial Intelligence
- Signal Processing top 10%
- Cellular and Molecular Neuroscience
- Electrical and Electronic Engineering
- Co-authors
- Franziska HornMichael TangermannIrene WinklerCarsten AllefeldAnders SøgaardWojciech SamekKlaus‐Robert MüllerIlias Chalkidis
- Topics
- Topic Modeling (7 papers)EEG and Brain-Computer Interfaces (6 papers)Natural Language Processing Techniques (5 papers)
- Journals
- Frontiers in NeuroscienceJournal of Neural EngineeringTransactions of the Association for Computational Linguistics
- Partner nations
- DenmarkGermanySouth Korea
In The Last Decade
Stephanie Brandl
18 papers receiving 380 citations
Peers
Comparison fields: 5 of 67
- Cognitive Neuroscience 268
- Artificial Intelligence 82
- Signal Processing 45
- Cellular and Molecular Neuroscience 44
- Electrical and Electronic Engineering 25
Countries citing papers authored by Stephanie Brandl
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 52 | |
| 8 | 11 | |
| 9 | A Cross-lingual Comparison of Human and Model Relative Word Importance | 1 |
| 10 | 1 | |
| 11 | 11 | |
| 12 | 7 | |
| 13 | 3 | |
| 14 | 19 | |
| 15 | 2 | |
| 16 | 6 | |
| 17 | 10 | |
| 18 | 251 |
About Stephanie Brandl
Stephanie Brandl is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Cellular and Molecular Neuroscience, having authored 18 papers that have together received 384 indexed citations. Recurring topics across this work include Topic Modeling (7 papers), EEG and Brain-Computer Interfaces (6 papers) and Natural Language Processing Techniques (5 papers). The work is most often cited by research in Cognitive Neuroscience (268 citations), Signal Processing (45 citations) and Human-Computer Interaction (19 citations). Stephanie Brandl has collaborated with scholars based in Denmark, Germany and South Korea. Frequent co-authors include Franziska Horn, Michael Tangermann, Irene Winkler, Carsten Allefeld, Anders Søgaard, Wojciech Samek, Klaus‐Robert Müller, Ilias Chalkidis, Johannes Höhne and Benjamin Blankertz. Their work appears in journals such as Frontiers in Neuroscience, Journal of Neural Engineering and Transactions of the Association for Computational Linguistics.
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.