Andreas Seiderer
Impact in
- Human-Computer Interaction top 5%
- Innovative Human-Technology Interaction
Papers in
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- Innovative Human-Technology Interaction 8
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- Context-Aware Activity Recognition Systems 8
- Co-authors
- Elisabeth André (32 shared papers)Ilhan Aslan (10 shared papers)Hannes Ritschel (6 shared papers)Dominik Schiller (6 shared papers)Johannes Wagner (3 shared papers)Thomas Rist (5 shared papers)Stefan Rahr Wagner (2 shared papers)Florian Lingenfelser (4 shared papers)
- Journals
- Urban forestry & urban greening (1 paper)Lecture notes in computer science (3 papers)Communications in computer and information science (1 paper)OPUS (Augsburg University) (27 papers)
- Partner nations
- GermanyUnited StatesMalaysia
In The Last Decade
Andreas Seiderer
33 papers receiving 376 citations
Peers
Comparison fields: 5 of 77
- Human-Computer Interaction 78
- Applied Psychology 24
- Social Psychology 104
- Signal Processing 52
- Experimental and Cognitive Psychology 52
Countries citing papers authored by Andreas Seiderer
This map shows the geographic impact of Andreas Seiderer'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 Andreas Seiderer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Seiderer more than expected).
Fields of papers citing papers by Andreas Seiderer
This network shows the impact of papers produced by Andreas Seiderer. 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 Andreas Seiderer. The network helps show where Andreas Seiderer may publish in the future.
Co-authors
The 25 scholars most cited alongside Andreas Seiderer, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 43 | |
| 2 | 2020 | 35 | |
| 3 | 2019 | 29 | |
| 4 | 2019 | 28 | |
| 5 | 2018 | 21 | |
| 6 | 2018 | 19 | |
| 7 | 2016 | 19 | |
| 8 | 2020 | 17 | |
| 9 | 2015 | 16 | |
| 10 | 2015 | 14 | |
| 11 | 2015 | 14 | |
| 12 | 2017 | 14 | |
| 13 | 2019 | 13 | |
| 14 | 2017 | 13 | |
| 15 | 2017 | 11 | |
| 16 | Using an evolutionary approach to explore convolutional neural networks for acoustic scene classification | 2018 | 10 |
| 17 | 2018 | 9 | |
| 18 | 2016 | 8 | |
| 19 | 2020 | 8 | |
| 20 | 2019 | 7 |
About Andreas Seiderer
Andreas Seiderer is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Signal Processing, Demography and Artificial Intelligence, having authored 33 papers that have together received 394 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (8 papers), Innovative Human-Technology Interaction (8 papers), Technology Use by Older Adults (6 papers), AI in Service Interactions (5 papers), Social Robot Interaction and HRI (5 papers), Mobile Health and mHealth Applications (3 papers), Music and Audio Processing (3 papers) and Urban Green Space and Health (3 papers). The work is most often cited by research in Human-Computer Interaction (78 citations), Applied Psychology (24 citations), Social Psychology (104 citations), Signal Processing (52 citations) and Experimental and Cognitive Psychology (52 citations). Andreas Seiderer has collaborated with scholars based in Germany, United States and Malaysia. Frequent co-authors include Elisabeth André, Ilhan Aslan, Hannes Ritschel, Dominik Schiller, Johannes Wagner, Thomas Rist, Stefan Rahr Wagner, Florian Lingenfelser, Silvan Mertes and Joachim Rathmann. Their work appears in journals such as Urban forestry & urban greening, Lecture notes in computer science, Communications in computer and information science and OPUS (Augsburg University).
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.