Sebastian Möller
- Computer Vision and Pattern Recognition top 0.5%
- Signal Processing top 0.5%
- Artificial Intelligence top 1%
- Cognitive Neuroscience top 2%
- Human-Computer Interaction top 0.5%
- Co-authors
- Alexander RaakeLars EdvinssonSteven SchmidtJan‐Niklas Voigt-AntonsSaman ZadtootaghajRobert SchleicherIna WechsungRolf Uddman
- Topics
- Speech and Audio Processing (91 papers)Image and Video Quality Assessment (76 papers)Speech and dialogue systems (55 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEAmerican Journal of Respiratory and Critical Care Medicine
- Partner nations
- GermanyUnited KingdomSweden
In The Last Decade
Sebastian Möller
437 papers receiving 5.4k citations
Peers
Comparison fields: 5 of 183
- Computer Vision and Pattern Recognition 1.6k
- Signal Processing 1.2k
- Artificial Intelligence 1.1k
- Cognitive Neuroscience 760
- Human-Computer Interaction 681
Countries citing papers authored by Sebastian Möller
This map shows the geographic impact of Sebastian Möller'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 Sebastian Möller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sebastian Möller more than expected).
Fields of papers citing papers by Sebastian Möller
This network shows the impact of papers produced by Sebastian Möller. 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 Sebastian Möller. The network helps show where Sebastian Möller may publish in the future.
Co-authorship network of co-authors of Sebastian Möller
This figure shows the co-authorship network connecting the top 25 collaborators of Sebastian Möller. A scholar is included among the top collaborators of Sebastian Möller 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 Sebastian Möller. Sebastian Möller 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 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 0 | |
| 9 | 2 | |
| 10 | 5 | |
| 11 | 9 | |
| 12 | 7 | |
| 13 | 10 | |
| 14 | TUB at HASOC 2020: Character based LSTM for Hate Speech Detection in Indo-European Languages. | 3 |
| 15 | 44 | |
| 16 | 9 | |
| 17 | 22 | |
| 18 | Gebäudescharfe Schätzung des Heizwärmebedarfs anhand des semantischen 3D-Stadtmodells Wiens. | 1 |
| 19 | 9 | |
| 20 | The Sound Character Space of Spectrally Distorted Telephone Speech and Its Impact on Quality | 4 |
About Sebastian Möller
Sebastian Möller is a scholar working on Human-Computer Interaction, Signal Processing and Computer Vision and Pattern Recognition, having authored 475 papers that have together received 5.7k indexed citations. Recurring topics across this work include Speech and Audio Processing (91 papers), Image and Video Quality Assessment (76 papers) and Speech and dialogue systems (55 papers). The work is most often cited by research in Human-Computer Interaction (681 citations), Signal Processing (1.2k citations) and Computer Vision and Pattern Recognition (1.6k citations). Sebastian Möller has collaborated with scholars based in Germany, United Kingdom and Sweden. Frequent co-authors include Alexander Raake, Lars Edvinsson, Steven Schmidt, Jan‐Niklas Voigt-Antons, Saman Zadtootaghaj, Robert Schleicher, Ina Wechsung, Rolf Uddman, Marcel Wältermann and Tim Polzehl. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and American Journal of Respiratory and Critical Care Medicine.
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.