Philipp Werner
- Experimental and Cognitive Psychology top 2%
- Cognitive Neuroscience top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Physiology top 10%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Ayoub Al-HamadiSascha GrussSteffen WalterHarald C. TraueFrerk SaxenRobert NieseKerstin Limbrecht-EcklundtRosalind W. Picard
- Topics
- Emotion and Mood Recognition (23 papers)Face recognition and analysis (13 papers)EEG and Brain-Computer Interfaces (13 papers)
- Cited by
- Experimental and Cognitive PsychologyCognitive NeuroscienceAnesthesiology and Pain Medicine
- Partner nations
- GermanyUnited StatesBrazil
In The Last Decade
Philipp Werner
42 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 101
- Experimental and Cognitive Psychology 520
- Cognitive Neuroscience 439
- Cardiology and Cardiovascular Medicine 266
- Physiology 265
- Computer Vision and Pattern Recognition 261
Countries citing papers authored by Philipp Werner
This map shows the geographic impact of Philipp Werner'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 Philipp Werner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philipp Werner more than expected).
Fields of papers citing papers by Philipp Werner
This network shows the impact of papers produced by Philipp Werner. 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 Philipp Werner. The network helps show where Philipp Werner may publish in the future.
Co-authorship network of co-authors of Philipp Werner
This figure shows the co-authorship network connecting the top 25 collaborators of Philipp Werner. A scholar is included among the top collaborators of Philipp Werner 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 Philipp Werner. Philipp Werner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 15 | |
| 3 | 3 | |
| 4 | 6 | |
| 5 | 9 | |
| 6 | 50 | |
| 7 | 4 | |
| 8 | 37 | |
| 9 | 7 | |
| 10 | 18 | |
| 11 | 4 | |
| 12 | 28 | |
| 13 | 7 | |
| 14 | 16 | |
| 15 | 119 | |
| 16 | 37 | |
| 17 | 103 | |
| 18 | 107 | |
| 19 | 67 | |
| 20 | 15 |
About Philipp Werner
Philipp Werner is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience and Computer Vision and Pattern Recognition, having authored 46 papers that have together received 1.2k indexed citations. Recurring topics across this work include Emotion and Mood Recognition (23 papers), Face recognition and analysis (13 papers) and EEG and Brain-Computer Interfaces (13 papers). The work is most often cited by research in Experimental and Cognitive Psychology (520 citations), Cognitive Neuroscience (439 citations) and Anesthesiology and Pain Medicine (86 citations). Philipp Werner has collaborated with scholars based in Germany, United States and Brazil. Frequent co-authors include Ayoub Al-Hamadi, Sascha Gruss, Steffen Walter, Harald C. Traue, Steffen Walter, Frerk Saxen, Robert Niese, Kerstin Limbrecht-Ecklundt, Rosalind W. Picard and Daniel Lopez-Martinez. Their work appears in journals such as PLoS ONE, IEEE Transactions on Biomedical Engineering and Sensors.
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.