Raymond Brueckner
- Signal Processing top 2%
- Experimental and Cognitive Psychology top 5%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Cognitive Neuroscience
- Co-authors
- Björn W. SchullerStefanos ZafeiriouGeorge TrigeorgisFabien RingevalErik MarchiMihalis A. NicolaouFlorian B. PokornyPär Nyström
- Topics
- Speech Recognition and Synthesis (10 papers)Speech and Audio Processing (7 papers)Music and Audio Processing (5 papers)
- Journals
- IEEE Transactions on Affective ComputingThe Lancet Regional Health - Western PacificSpiral (Imperial College London)
- Partner nations
- GermanyUnited KingdomIreland
In The Last Decade
Raymond Brueckner
12 papers receiving 650 citations
Hit Papers
Peers
Comparison fields: 5 of 70
- Signal Processing 426
- Experimental and Cognitive Psychology 398
- Artificial Intelligence 362
- Computer Vision and Pattern Recognition 95
- Cognitive Neuroscience 88
Countries citing papers authored by Raymond Brueckner
This map shows the geographic impact of Raymond Brueckner'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 Raymond Brueckner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raymond Brueckner more than expected).
Fields of papers citing papers by Raymond Brueckner
This network shows the impact of papers produced by Raymond Brueckner. 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 Raymond Brueckner. The network helps show where Raymond Brueckner may publish in the future.
Co-authorship network of co-authors of Raymond Brueckner
This figure shows the co-authorship network connecting the top 25 collaborators of Raymond Brueckner. A scholar is included among the top collaborators of Raymond Brueckner 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 Raymond Brueckner. Raymond Brueckner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 37 | |
| 5 | 5 | |
| 6 | 12 | |
| 7 | Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent networkbreakdown → | 564 |
| 8 | 48 | |
| 9 | 10 | |
| 10 | 18 | |
| 11 | 8 | |
| 12 | 1 | |
| 13 | 5 |
About Raymond Brueckner
Raymond Brueckner is a scholar working on Signal Processing, Experimental and Cognitive Psychology and Music, having authored 13 papers that have together received 710 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (10 papers), Speech and Audio Processing (7 papers) and Music and Audio Processing (5 papers). The work is most often cited by research in Signal Processing (426 citations), Experimental and Cognitive Psychology (398 citations) and Artificial Intelligence (362 citations). Raymond Brueckner has collaborated with scholars based in Germany, United Kingdom and Ireland. Frequent co-authors include Björn W. Schuller, Stefanos Zafeiriou, George Trigeorgis, Fabien Ringeval, Erik Marchi, Mihalis A. Nicolaou, Florian B. Pokorny, Pär Nyström, Peter B. Marschik and Nicholas Cummins. Their work appears in journals such as IEEE Transactions on Affective Computing, The Lancet Regional Health - Western Pacific and Spiral (Imperial College London).
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.