Andreas Seiderer

498 total citations
29 papers, 301 citations indexed

About

Andreas Seiderer is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Human-Computer Interaction. According to data from OpenAlex, Andreas Seiderer has authored 29 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 7 papers in Human-Computer Interaction. Recurrent topics in Andreas Seiderer's work include Innovative Human-Technology Interaction (7 papers), Context-Aware Activity Recognition Systems (7 papers) and AI in Service Interactions (5 papers). Andreas Seiderer is often cited by papers focused on Innovative Human-Technology Interaction (7 papers), Context-Aware Activity Recognition Systems (7 papers) and AI in Service Interactions (5 papers). Andreas Seiderer collaborates with scholars based in Germany, United States and Malaysia. Andreas Seiderer's co-authors include Elisabeth André, Ilhan Aslan, Dominik Schiller, Hannes Ritschel, Johannes Wagner, Thomas Rist, Stefan Wagner, Joachim Rathmann, Christoph Beck and Florian Lingenfelser and has published in prestigious journals such as Urban forestry & urban greening and OPUS (Augsburg University).

In The Last Decade

Andreas Seiderer

29 papers receiving 291 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Andreas Seiderer Germany	12	106	80	62	57	48	29	301
Tan Tang China	13	72 0.7×	50 0.6×	184 3.0×	26 0.5×	25 0.5×	31	488
Dominik Schiller Germany	10	165 1.6×	72 0.9×	58 0.9×	25 0.4×	56 1.2×	25	331
Ionuț Damian Germany	9	128 1.2×	142 1.8×	71 1.1×	111 1.9×	19 0.4×	16	361
Maria Beatriz Carmo Portugal	10	50 0.5×	25 0.3×	118 1.9×	59 1.0×	24 0.5×	74	355
Stuart Cunningham United Kingdom	8	29 0.3×	43 0.5×	66 1.1×	23 0.4×	78 1.6×	50	276
Eleni Kazantzaki Greece	11	50 0.5×	86 1.1×	77 1.2×	36 0.6×	6 0.1×	18	502
Christian Peter Germany	10	38 0.4×	83 1.0×	97 1.6×	78 1.4×	21 0.4×	23	319
Maher Ben Moussa Switzerland	8	72 0.7×	83 1.0×	123 2.0×	72 1.3×	21 0.4×	13	287
Byung-Chull Bae South Korea	11	89 0.8×	34 0.4×	64 1.0×	78 1.4×	8 0.2×	30	261
Jean Costa United States	10	35 0.3×	122 1.5×	34 0.5×	146 2.6×	11 0.2×	29	518

Countries citing papers authored by Andreas Seiderer

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Andreas Seiderer

This figure shows the co-authorship network connecting the top 25 collaborators of Andreas Seiderer. A scholar is included among the top collaborators of Andreas Seiderer 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 Andreas Seiderer. Andreas Seiderer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Seiderer, Andreas, Michael Dietz, Elisabeth André, et al.. (2023). Investigating Psychological and Physiological Effects of Forest Walking: A Machine Learning Approach. 1–8. 1 indexed citations

Rathmann, Joachim, et al.. (2020). Towards quantifying forest recreation: Exploring outdoor thermal physiology and human well-being along exemplary pathways in a central European urban forest (Augsburg, SE-Germany). Urban forestry & urban greening. 49. 126622–126622. 32 indexed citations

Aslan, Ilhan, et al.. (2020). PiHearts: Resonating Experiences of Self and Others Enabled by a Tangible Somaesthetic Design. OPUS (Augsburg University). 433–441. 11 indexed citations

Seiderer, Andreas, Hannes Ritschel, & Elisabeth André. (2020). Development of a Privacy-By-Design Speech Assistant Providing Nutrient Information for German Seniors. OPUS (Augsburg University). 114–119. 7 indexed citations

Aslan, Ilhan, et al.. (2020). Exploring Ambient Air Quality Notifications for Smart Rooms. OPUS (Augsburg University). 102–107. 4 indexed citations

Ritschel, Hannes, Ilhan Aslan, Silvan Mertes, Andreas Seiderer, & Elisabeth André. (2019). Personalized Synthesis of Intentional and Emotional Non-Verbal Sounds for Social Robots. OPUS (Augsburg University). 1–7. 16 indexed citations

Ritschel, Hannes, et al.. (2019). Towards a robotic dietitian with adaptive linguistic style. OPUS (Augsburg University). 134–138. 4 indexed citations

Schiller, Dominik, Tobias Huber, Florian Lingenfelser, et al.. (2019). Relevance-Based Feature Masking: Improving Neural Network Based Whale Classification Through Explainable Artificial Intelligence. OPUS (Augsburg University). 2423–2427. 9 indexed citations

Seiderer, Andreas, Ilhan Aslan, Michael Dietz, et al.. (2019). Mobile Sensing for Wellbeing Estimation of Urban Green using Physiological Signals. OPUS (Augsburg University). 249–254. 3 indexed citations

10.

Ritschel, Hannes, et al.. (2019). Insights on usability and user feedback for an assistive robotic health companion with adaptive linguistic style. OPUS (Augsburg University). 319–320. 5 indexed citations

11.

Ritschel, Hannes, et al.. (2018). Drink-O-Mender. OPUS (Augsburg University). 1–8. 16 indexed citations

12.

Wagner, Johannes, Dominik Schiller, Andreas Seiderer, & Elisabeth André. (2018). Deep Learning in Paralinguistic Recognition Tasks: Are Hand-crafted Features Still Relevant?. OPUS (Augsburg University). 147–151. 38 indexed citations

13.

Seiderer, Andreas, Michael Dietz, Ilhan Aslan, & Elisabeth André. (2018). Enabling Privacy with Transfer Learning for Image Classification DNNs on Mobile Devices. OPUS (Augsburg University). 2017. 25–30. 4 indexed citations

14.

Seiderer, Andreas, et al.. (2017). Development of a mobile multi-device nutrition logger. OPUS (Augsburg University). 5–12. 14 indexed citations

15.

Rist, Thomas, et al.. (2017). Towards a Gamified Recommender System for the Elderly. OPUS (Augsburg University). 211–215. 9 indexed citations

16.

Seiderer, Andreas & Elisabeth André. (2017). Development of a Multi-Device Nutrition Logging Prototype Including a Smartscale. OPUS (Augsburg University). 239–240. 2 indexed citations

17.

Wagner, Johannes, et al.. (2017). Infected Phonemes: How a Cold Impairs Speech on a Phonetic Level. OPUS (Augsburg University). 3457–3461. 11 indexed citations

18.

Wagner, Johannes, et al.. (2016). Laughter detection in the wild: demonstrating a tool for mobile social signal processing and visualization. OPUS (Augsburg University). 406–407. 3 indexed citations

19.

Wagner, Johannes, et al.. (2016). MobileSSI: asynchronous fusion for social signal interpretation in the wild. OPUS (Augsburg University). 266–273. 8 indexed citations

20.

Seiderer, Andreas, et al.. (2015). Exploring Digital Image Frames for Lifestyle Intervention to Improve Well-being of Older Adults. OPUS (Augsburg University). 71–78. 12 indexed citations

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.

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