Markus Schröder
Impact in
-
- Emotion and Mood Recognition
- Aquatic Science top 5%
- Seaweed-derived Bioactive Compounds
Papers in
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- Emotion and Mood Recognition 3
- Co-authors
- Roddy CowieMaja PantićGary McKeownMichel ValstarWalter VetterOle G. MouritsenChristine DawczynskiLars Duelund
- Journals
- IEEE Transactions on Affective Computing (2 papers)Surface and Interface Analysis (1 paper)Applied Surface Science (1 paper)International Journal of Computer Assisted Radiology and Surgery (1 paper)European Food Research and Technology (1 paper)
- Partner nations
- GermanyNetherlandsSwitzerland
In The Last Decade
Markus Schröder
30 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 122
- Experimental and Cognitive Psychology 407
- Aquatic Science 118
- Signal Processing 132
- Computer Vision and Pattern Recognition 197
- Human-Computer Interaction 53
Countries citing papers authored by Markus Schröder
This map shows the geographic impact of Markus Schröder'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 Schröder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Schröder more than expected).
Fields of papers citing papers by Markus Schröder
This network shows the impact of papers produced by Markus Schröder. 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 Schröder. The network helps show where Markus Schröder may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Markus Schröder, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 15 | |
| 2 | Datenaufbereitung in der Landwirtschaft durch automatisierte semantische Annotation. | 2020 | 1 |
| 3 | 2017 | 3 | |
| 4 | 2014 | 7 | |
| 5 | 2013 | 162 | |
| 6 | 2013 | 16 | |
| 7 | 2012 | 43 | |
| 8 | 2012 | 16 | |
| 9 | 2011 | 29 | |
| 10 | 2011 | 118 | |
| 11 | Emotion markup language (EmotionML) 1.0. W3C last call working draft | 2011 | 1 |
| 12 | A Multimodal Listener Behaviour Driven by Audio Input | 2010 | 5 |
| 13 | 2006 | 7 | |
| 14 | Developing a consistent view on emotion-oriented computing | 2005 | 1 |
| 15 | 2004 | 5 | |
| 16 | 2003 | 17 | |
| 17 | 2000 | 5 | |
| 18 | 1996 | 9 | |
| 19 | 1993 | 9 | |
| 20 | 1990 | 1 |
About Markus Schröder
Markus Schröder is a scholar working on Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition, Animal Science and Zoology, Social Psychology and Plant Science, having authored 30 papers that have together received 1.1k indexed citations. Recurring topics across this work include Speech and dialogue systems (3 papers), Emotion and Mood Recognition (3 papers), Horticultural and Viticultural Research (3 papers), Plant Reproductive Biology (3 papers), Plant Physiology and Cultivation Studies (3 papers), Medical Imaging and Analysis (3 papers), Social Robot Interaction and HRI (3 papers) and Analytical Chemistry and Chromatography (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (407 citations), Aquatic Science (118 citations), Signal Processing (132 citations), Computer Vision and Pattern Recognition (197 citations) and Human-Computer Interaction (53 citations). Markus Schröder has collaborated with scholars based in Germany, Netherlands and Switzerland. Frequent co-authors include Roddy Cowie, Maja Pantić, Gary McKeown, Michel Valstar, Walter Vetter, Ole G. Mouritsen, Christine Dawczynski, Lars Duelund, Gerhard Jahreis and Katja Lehnert. Their work appears in journals such as IEEE Transactions on Affective Computing, Surface and Interface Analysis, Applied Surface Science, International Journal of Computer Assisted Radiology and Surgery and European Food Research and Technology.
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.