Markus Kächele

36 papers receiving 734 citations

Peers

Markus Kächele
Comparison fields: 5 of 79
  • Experimental and Cognitive Psychology 413
  • Signal Processing 126
  • Cognitive Neuroscience 195
  • Computer Vision and Pattern Recognition 185
  • Human-Computer Interaction 41
Replace Steffen Walter with:
Steffen Walter Germany
Kirsty M. Smith United Kingdom
Patrick Thiam Germany
Viktor Rozgić United States
Ercheng Pei China
Georg Layher Germany
Mohammadreza Amirian Germany
Sascha Gruss Germany
Zhongtian Bao China
Umur Aybars Çiftçi United States
Markus Kächele relative to Steffen Walter Germany Steffen Walter's profile →
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Citations per year

Countries citing papers authored by Markus Kächele

Since Specialization
Citations

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

Fields of papers citing papers by Markus Kächele

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Markus Kächele, 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 Markus Kächele Line = papers co-authored together Markus Kächele links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011115
2 201678
3 201671
4 201459
5 201558
6 201554
7 201437
8 201527
9 201326
10
Speeding up k-means by approximating Euclidean distances via block vectors
201623
11 201417
12 201617
13 201317
14 201517
15 201316
16 201616
17 201411
18 201510
19 201610
20 201410

About Markus Kächele

Markus Kächele is a scholar working on Experimental and Cognitive Psychology, Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 36 papers that have together received 761 indexed citations. Recurring topics across this work include Emotion and Mood Recognition (21 papers), EEG and Brain-Computer Interfaces (8 papers), Music and Audio Processing (7 papers), Speech and Audio Processing (6 papers), Face and Expression Recognition (5 papers), Heart Rate Variability and Autonomic Control (4 papers), Non-Invasive Vital Sign Monitoring (3 papers) and Advanced Vision and Imaging (3 papers). The work is most often cited by research in Experimental and Cognitive Psychology (413 citations), Signal Processing (126 citations), Cognitive Neuroscience (195 citations), Computer Vision and Pattern Recognition (185 citations) and Human-Computer Interaction (41 citations). Markus Kächele has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Friedhelm Schwenker, Günther Palm, Patrick Thiam, Martin Schels, Mohammadreza Amirian, Steffen Walter, Michael Glodek, Philipp Werner, Stephan Tschechne and Ayoub K. Al-Hamadi. Their work appears in journals such as Lecture notes in computer science, Evolving Systems, Computer Graphics Forum, IEEE Journal of Selected Topics in Signal Processing and Journal on Multimodal User Interfaces.

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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