Michael Glodek

29 papers receiving 585 citations

Peers

Michael Glodek
Comparison fields: 5 of 71
  • Experimental and Cognitive Psychology 332
  • Signal Processing 156
  • Human-Computer Interaction 57
  • Artificial Intelligence 297
  • Computer Vision and Pattern Recognition 161
Replace Martin Schels with:
Martin Schels Germany
Yelin Kim United States
Jen‐Chun Lin Taiwan
Najmeh Sadoughi United States
Linlin Chao China
Xavier Bouthillier Canada
Fatemeh Noroozi Estonia
Guanming Lu China
Zdravko Kačič Slovenia
Charlie K. Dagli United States
Michael Glodek relative to Martin Schels Germany Martin Schels's profile →
Citations per field
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Citations per year

Countries citing papers authored by Michael Glodek

Since Specialization
Citations

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

Fields of papers citing papers by Michael Glodek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011115
2 201459
3 201150
4 201240
5 201234
6 201333
7 201531
8 201228
9 201326
10 201223
11 201023
12 201121
13 201318
14 201116
15 201216
16 201115
17 201313
18 201410
19 201210
20 20127

About Michael Glodek

Michael Glodek is a scholar working on Signal Processing, Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition, Artificial Intelligence and Pharmacy, having authored 30 papers that have together received 623 indexed citations. Recurring topics across this work include Emotion and Mood Recognition (11 papers), Face and Expression Recognition (8 papers), Speech and Audio Processing (6 papers), Human Pose and Action Recognition (6 papers), Neural Networks and Applications (5 papers), Music and Audio Processing (5 papers), Anomaly Detection Techniques and Applications (5 papers) and Video Surveillance and Tracking Methods (5 papers). The work is most often cited by research in Experimental and Cognitive Psychology (332 citations), Signal Processing (156 citations), Human-Computer Interaction (57 citations), Artificial Intelligence (297 citations) and Computer Vision and Pattern Recognition (161 citations). Michael Glodek has collaborated with scholars based in Germany, Italy and Ireland. Frequent co-authors include Friedhelm Schwenker, Martin Schels, Günther Palm, Stefan J. Scherer, Markus Kächele, Miriam Schmidt, Georg Layher, Stephan Tschechne, Tobias Brosch and Heiko Neumann. Their work appears in journals such as Lecture notes in computer science, ACM Transactions on Interactive Intelligent Systems, Neurocomputing, Journal on Multimodal User Interfaces and Computational Statistics.

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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