Lukas Stappen
Impact in
-
- Emotion and Mood Recognition
- Signal Processing top 5%
- Music and Audio Processing
- Speech and Audio Processing
Papers in
-
- Sentiment Analysis and Opinion Mining 9
- Speech Recognition and Synthesis 4
- Speech and dialogue systems 3
-
- Emotion and Mood Recognition 14
- Co-authors
- Björn W. Schuller (24 shared papers)Alice Baird (14 shared papers)Erik Cambria (8 shared papers)Eva-Maria Meßner (5 shared papers)Georgios Rizos (5 shared papers)Nicholas Cummins (3 shared papers)Adria Mallol-Ragolta (2 shared papers)Shahin Amiriparian (7 shared papers)
- Journals
- Journal of the American Medical Informatics Association (1 paper)IEEE Intelligent Systems (1 paper)IEEE Robotics and Automation Letters (1 paper)Frontiers in Computer Science (3 papers)Frontiers in Digital Health (1 paper)
- Partner nations
- GermanyUnited KingdomSingapore
In The Last Decade
Lukas Stappen
26 papers receiving 540 citations
Peers
Comparison fields: 5 of 79
- Experimental and Cognitive Psychology 255
- Signal Processing 124
- Artificial Intelligence 265
- Applied Psychology 31
- Social Psychology 122
Countries citing papers authored by Lukas Stappen
This map shows the geographic impact of Lukas Stappen'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 Lukas Stappen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lukas Stappen more than expected).
Fields of papers citing papers by Lukas Stappen
This network shows the impact of papers produced by Lukas Stappen. 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 Lukas Stappen. The network helps show where Lukas Stappen may publish in the future.
Co-authors
The 25 scholars most cited alongside Lukas Stappen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 93 | |
| 2 | 2021 | 66 | |
| 3 | 2019 | 51 | |
| 4 | 2019 | 46 | |
| 5 | 2021 | 35 | |
| 6 | 2020 | 34 | |
| 7 | 2020 | 29 | |
| 8 | 2021 | 27 | |
| 9 | 2023 | 21 | |
| 10 | 2020 | 17 | |
| 11 | 2020 | 15 | |
| 12 | 2019 | 14 | |
| 13 | 2020 | 13 | |
| 14 | 2023 | 13 | |
| 15 | 2024 | 11 | |
| 16 | 2021 | 11 | |
| 17 | 2019 | 10 | |
| 18 | 2022 | 9 | |
| 19 | 2020 | 9 | |
| 20 | 2020 | 8 |
About Lukas Stappen
Lukas Stappen is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology, Signal Processing, Social Psychology and Computer Vision and Pattern Recognition, having authored 28 papers that have together received 555 indexed citations. Recurring topics across this work include Emotion and Mood Recognition (14 papers), Sentiment Analysis and Opinion Mining (9 papers), Music and Audio Processing (8 papers), Speech Recognition and Synthesis (4 papers), Speech and Audio Processing (4 papers), Mental Health via Writing (3 papers), Humor Studies and Applications (3 papers) and Speech and dialogue systems (3 papers). The work is most often cited by research in Experimental and Cognitive Psychology (255 citations), Signal Processing (124 citations), Artificial Intelligence (265 citations), Applied Psychology (31 citations) and Social Psychology (122 citations). Lukas Stappen has collaborated with scholars based in Germany, United Kingdom and Singapore. Frequent co-authors include Björn W. Schuller, Alice Baird, Erik Cambria, Eva-Maria Meßner, Georgios Rizos, Nicholas Cummins, Adria Mallol-Ragolta, Shahin Amiriparian, Guoying Zhao and Ziping Zhao. Their work appears in journals such as Journal of the American Medical Informatics Association, IEEE Intelligent Systems, IEEE Robotics and Automation Letters, Frontiers in Computer Science and Frontiers in Digital Health.
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.