Martin Schels

705 total citations
18 papers, 223 citations indexed

About

Martin Schels is a scholar working on Artificial Intelligence, Signal Processing and Experimental and Cognitive Psychology. According to data from OpenAlex, Martin Schels has authored 18 papers receiving a total of 223 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 9 papers in Signal Processing and 8 papers in Experimental and Cognitive Psychology. Recurrent topics in Martin Schels's work include Emotion and Mood Recognition (8 papers), Speech and Audio Processing (6 papers) and Face and Expression Recognition (5 papers). Martin Schels is often cited by papers focused on Emotion and Mood Recognition (8 papers), Speech and Audio Processing (6 papers) and Face and Expression Recognition (5 papers). Martin Schels collaborates with scholars based in Germany, United States and Ireland. Martin Schels's co-authors include Friedhelm Schwenker, Markus Kächele, Michael Glodek, Günther Palm, Patrick Thiam, Stefan Scherer, Steffen Walter, Tobias Brosch, Stephan Tschechne and Georg Layher and has published in prestigious journals such as Computational Statistics, Journal on Multimodal User Interfaces and The European Symposium on Artificial Neural Networks.

In The Last Decade

Martin Schels

18 papers receiving 206 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin Schels Germany 11 120 99 63 58 38 18 223
Michael Glodek Germany 10 108 0.9× 127 1.3× 61 1.0× 68 1.2× 47 1.2× 17 244
R. Gnana Praveen Canada 9 114 0.9× 58 0.6× 92 1.5× 86 1.5× 16 0.4× 26 258
Stephen E. Levinson United States 9 80 0.7× 136 1.4× 43 0.7× 72 1.2× 30 0.8× 33 275
Ronald Böck Germany 10 175 1.5× 141 1.4× 58 0.9× 109 1.9× 57 1.5× 45 300
Xavier Bouthillier Canada 3 154 1.3× 109 1.1× 149 2.4× 48 0.8× 20 0.5× 4 293
Ingo Siegert Germany 10 166 1.4× 168 1.7× 35 0.6× 95 1.6× 50 1.3× 63 309
Adria Mallol-Ragolta Germany 11 139 1.2× 160 1.6× 54 0.9× 134 2.3× 59 1.6× 30 326
Jiajia Tang China 8 103 0.9× 149 1.5× 66 1.0× 42 0.7× 11 0.3× 28 302
Linlin Chao China 9 236 2.0× 198 2.0× 92 1.5× 118 2.0× 56 1.5× 15 394
Esam Ghaleb Netherlands 10 135 1.1× 87 0.9× 168 2.7× 83 1.4× 19 0.5× 17 309

Countries citing papers authored by Martin Schels

Since Specialization
Citations

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

Fields of papers citing papers by Martin Schels

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Schels

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

All Works

18 of 18 papers shown
1.
Kächele, Markus, et al.. (2016). Revisiting the EmotiW challenge: how wild is it really?. Journal on Multimodal User Interfaces. 10(2). 151–162. 14 indexed citations
2.
Kächele, Markus, Martin Schels, & Friedhelm Schwenker. (2016). The Influence of Annotation, Corpus Design, and Evaluation on the Outcome of Automatic Classification of Human Emotions. 3. 5 indexed citations
3.
Kächele, Markus, Stefanie Rukavina, Günther Palm, Friedhelm Schwenker, & Martin Schels. (2015). Paradigms for the Construction and Annotation of Emotional Corpora for Real-world Human-Computer-Interaction. 367–373. 2 indexed citations
4.
Kächele, Markus, Martin Schels, Patrick Thiam, & Friedhelm Schwenker. (2015). Fusion Mappings for Multimodal Affect Recognition. 1. 307–313. 10 indexed citations
5.
Schels, Martin, et al.. (2015). On the effects of continuous annotation tools and the human factor on the annotation outcome.. 174–180. 1 indexed citations
6.
Kächele, Markus, Patrick Thiam, Günther Palm, Friedhelm Schwenker, & Martin Schels. (2015). Ensemble Methods for Continuous Affect Recognition. 9–16. 24 indexed citations
7.
Kächele, Markus, Martin Schels, & Friedhelm Schwenker. (2014). Inferring Depression and Affect from Application Dependent Meta Knowledge. 41–48. 32 indexed citations
8.
Glodek, Michael, Martin Schels, Friedhelm Schwenker, & Günther Palm. (2014). Combination of sequential class distributions from multiple channels using Markov fusion networks. Journal on Multimodal User Interfaces. 8(3). 257–272. 5 indexed citations
10.
Schels, Martin, Michael Glodek, Stefan Scherer, et al.. (2013). Multi-Modal Classifier-Fusion for the Recognition of Emotions. 73–97. 9 indexed citations
11.
Schels, Martin, et al.. (2013). Using unlabeled data to improve classification of emotional states in human computer interaction. Journal on Multimodal User Interfaces. 8(1). 5–16. 21 indexed citations
12.
Glodek, Michael, Martin Schels, Günther Palm, & Friedhelm Schwenker. (2012). Multiple classifier combination using reject options and markov fusion networks. 465–472. 12 indexed citations
13.
Glodek, Michael, Martin Schels, & Friedhelm Schwenker. (2012). Ensemble Gaussian mixture models for probability density estimation. Computational Statistics. 28(1). 127–138. 27 indexed citations
14.
Scherer, Stefan, Michael Glodek, Georg Layher, et al.. (2012). A generic framework for the inference of user states in human computer interaction. Journal on Multimodal User Interfaces. 6(3-4). 117–141. 21 indexed citations
15.
Schels, Martin, et al.. (2011). Training of multiple classifier systems utilizing partially labeled sequential data sets.. The European Symposium on Artificial Neural Networks. 1 indexed citations
16.
Glodek, Michael, et al.. (2011). Incorporating uncertainty in a layered HMM architecture for human activity recognition. 33–34. 11 indexed citations
17.
Schels, Martin, Stefan Scherer, Michael Glodek, et al.. (2011). On the discovery of events in EEG data utilizing information fusion. Computational Statistics. 28(1). 5–18. 12 indexed citations
18.
Schels, Martin & Friedhelm Schwenker. (2010). A Multiple Classifier System Approach for Facial Expressions in Image Sequences Utilizing GMM Supervectors. 4251–4254. 15 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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