Matthias Ley
- Experimental and Cognitive Psychology top 5%
- Cognitive Neuroscience top 10%
- Cardiology and Cardiovascular Medicine
- Social Psychology
- Computer Vision and Pattern Recognition
- Co-authors
- Sten HankeKarl BauerMozhgan BizhangThomas WagnerThomas WeberStephanie ChristKarin RohbockHarald Winter
- Topics
- Computational Drug Discovery Methods (3 papers)Bioinformatics and Genomic Networks (3 papers)Chronic Kidney Disease and Diabetes (3 papers)
- Partner nations
- AustriaUnited StatesGermany
In The Last Decade
Matthias Ley
12 papers receiving 451 citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Experimental and Cognitive Psychology 243
- Cognitive Neuroscience 191
- Cardiology and Cardiovascular Medicine 70
- Social Psychology 66
- Computer Vision and Pattern Recognition 53
Countries citing papers authored by Matthias Ley
This map shows the geographic impact of Matthias Ley'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 Matthias Ley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Ley more than expected).
Fields of papers citing papers by Matthias Ley
This network shows the impact of papers produced by Matthias Ley. 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 Matthias Ley. The network helps show where Matthias Ley may publish in the future.
Co-authorship network of co-authors of Matthias Ley
This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Ley. A scholar is included among the top collaborators of Matthias Ley 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 Matthias Ley. Matthias Ley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 12 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | 12 | |
| 9 | Emotion Recognition from Physiological Signal Analysis: A Reviewbreakdown → | 342 |
| 10 | Evaluating Methods for Emotion Recognition based on Facial and Vocal Features. | 4 |
| 11 | The effect of different fluoridation methods on the red wine staining potential on intensively bleached enamel in vitro. | 12 |
| 12 | 65 |
About Matthias Ley
Matthias Ley is a scholar working on Nephrology, Orthodontics and Sensory Systems, having authored 12 papers that have together received 462 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (3 papers), Bioinformatics and Genomic Networks (3 papers) and Chronic Kidney Disease and Diabetes (3 papers). The work is most often cited by research in Experimental and Cognitive Psychology (243 citations), Cognitive Neuroscience (191 citations) and Sensory Systems (48 citations). Matthias Ley has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Sten Hanke, Karl Bauer, Mozhgan Bizhang, Thomas Wagner, Thomas Weber, Stephanie Christ, Karin Rohbock, Harald Winter, Martina Knirsch and Ulrike Zimmermann. Their work appears in journals such as Journal of Cell Science, Drug Discovery Today and PROTEOMICS.
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.