Sten Hanke

54 papers receiving 1.1k citations

Sten Hanke's Hit Papers

Emotion Recognition from Physiological Signal Analysis: A Review 2019 · 392 citations
3920+2+4Years since publication100200300

Peers

Sten Hanke
Comparison fields: 5 of 111
  • Experimental and Cognitive Psychology 291
  • Computer Vision and Pattern Recognition 429
  • Human-Computer Interaction 100
  • Cognitive Neuroscience 209
  • Demography 127
Replace Evdokimos Konstantinidis with:
Evdokimos Konstantinidis Greece
Ângelo Costa Portugal
Bruno Bouchard Canada
Thomas Kirste Germany
Ramón Hervás Spain
Hélène Pigot Canada
Margherita Antona Greece
Asier Aztiria Spain
Bart Peintner United States
Elena Mugellini Switzerland
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Citations per field
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Citations per year

Countries citing papers authored by Sten Hanke

Since Specialization
Citations

This map shows the geographic impact of Sten Hanke'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 Sten Hanke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sten Hanke more than expected).

Fields of papers citing papers by Sten Hanke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sten Hanke. 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 Sten Hanke. The network helps show where Sten Hanke may publish in the future.

Co-authors

The 25 scholars most cited alongside Sten Hanke, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sten Hanke Line = papers co-authored together Sten Hanke links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Emotion Recognition from Physiological Signal Analysis: A Review
Hit paper breakdown →
2019392
2 2017151
3 201174
4 201766
5 201846
6 201235
7 201132
8 200930
9 201029
10 201928
11 201825
12 201722
13 202015
14 201714
15 201514
16 202111
17 200711
18 202210
19 200710
20
The Technical Specification and Architecture of a Virtual Support Partner.
20159

About Sten Hanke

Sten Hanke is a scholar working on Computer Vision and Pattern Recognition, Demography, Artificial Intelligence, Human-Computer Interaction and Social Psychology, having authored 61 papers that have together received 1.1k indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (18 papers), Technology Use by Older Adults (13 papers), Social Robot Interaction and HRI (5 papers), Mobile Health and mHealth Applications (4 papers), IoT and Edge/Fog Computing (4 papers), IoT-based Smart Home Systems (4 papers), Dementia and Cognitive Impairment Research (4 papers) and Innovative Human-Technology Interaction (4 papers). The work is most often cited by research in Experimental and Cognitive Psychology (291 citations), Computer Vision and Pattern Recognition (429 citations), Human-Computer Interaction (100 citations), Cognitive Neuroscience (209 citations) and Demography (127 citations). Sten Hanke has collaborated with scholars based in Austria, United Kingdom and Greece. Frequent co-authors include Matthias Ley, Johannes Kropf, Andreas Holzinger, Deepika Singh, Erinç Merdivan, Matthieu Geist, Ismini Psychoula, Christopher Mayer, Reiner Wichert and Francesco Furfari. Their work appears in journals such as International Journal of Medical Informatics, Smart Cities, Clinical Pharmacology & Therapeutics, Journal of Alzheimer s Disease and Lecture notes in computer science.

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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