Lukas Stappen
Impact in
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- Emotion and Mood Recognition
- Signal Processing top 5%
- Music and Audio Processing
- Speech and Audio Processing
Papers in
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- Emotion and Mood Recognition 14
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- Music and Audio Processing 7
- Speech and Audio Processing 4
- Co-authors
- Björn W. SchullerAlice BairdErik CambriaEva-Maria MeßnerNicholas CumminsAdria Mallol-RagoltaGeorgios RizosShahin Amiriparian
- Journals
- IEEE Intelligent Systems (1 paper)IEEE Robotics and Automation Letters (1 paper)Journal of the American Medical Informatics Association (1 paper)Frontiers in Computer Science (3 papers)EURASIP Journal on Audio Speech and Music Processing (1 paper)
- Partner nations
- GermanyUnited KingdomSingapore
In The Last Decade
Lukas Stappen
24 papers receiving 501 citations
Peers
Comparison fields: 5 of 84
- Experimental and Cognitive Psychology 249
- Signal Processing 117
- Artificial Intelligence 261
- Applied Psychology 30
- Social Psychology 118
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 10 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 21 | |
| 4 | 2023 | 7 | |
| 5 | 2023 | 10 | |
| 6 | 2022 | 9 | |
| 7 | 2022 | 1 | |
| 8 | 2021 | 62 | |
| 9 | 2021 | 85 | |
| 10 | 2021 | 32 | |
| 11 | 2020 | 11 | |
| 12 | 2020 | 7 | |
| 13 | 2020 | 28 | |
| 14 | 2020 | 15 | |
| 15 | 2020 | 9 | |
| 16 | 2020 | 32 | |
| 17 | 2019 | 43 | |
| 18 | 2019 | 7 | |
| 19 | 2019 | 47 | |
| 20 | 2019 | 10 |
About Lukas Stappen
Lukas Stappen is a scholar working on Experimental and Cognitive Psychology, Signal Processing, Artificial Intelligence, Music and Social Psychology, having authored 25 papers that have together received 516 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 (7 papers), Speech and Audio Processing (4 papers), Speech Recognition and Synthesis (4 papers), Mental Health via Writing (3 papers), Humor Studies and Applications (3 papers) and Speech and dialogue systems (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (249 citations), Signal Processing (117 citations), Artificial Intelligence (261 citations), Applied Psychology (30 citations) and Social Psychology (118 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, Nicholas Cummins, Adria Mallol-Ragolta, Georgios Rizos, Shahin Amiriparian, Guoying Zhao and Ziping Zhao. Their work appears in journals such as IEEE Intelligent Systems, IEEE Robotics and Automation Letters, Journal of the American Medical Informatics Association, Frontiers in Computer Science and EURASIP Journal on Audio Speech and Music Processing.
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.