Arthur Flexer
- Signal Processing top 0.5%
- Music and Audio Processing 43
- Speech and Audio Processing 21
- Time Series Analysis and Forecasting 6
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- Music Technology and Sound Studies 28
- Video Analysis and Summarization 8
- Cognitive Neuroscience top 5%
- Neuroscience and Music Perception 9
- EEG and Brain-Computer Interfaces 8
- Music top 2%
- Artificial Intelligence top 5%
- Neural Networks and Applications 8
- Co-authors
- Gerhard WidmerDominik SchnitzerGeorg DorffnerElias PampalkJulián UrbanoMarkus SchedlGeorg GruberThomas Grill
- Journals
- Journal of New Music Research (4 papers)Journal of Neurosurgical Anesthesiology (2 papers)Applied Artificial Intelligence (2 papers)
- Partner nations
- AustriaUnited StatesUnited Kingdom
In The Last Decade
Arthur Flexer
70 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 121
- Signal Processing 866
- Computer Vision and Pattern Recognition 729
- Cognitive Neuroscience 477
- Music 58
- Artificial Intelligence 320
Countries citing papers authored by Arthur Flexer
This map shows the geographic impact of Arthur Flexer'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 Arthur Flexer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arthur Flexer more than expected).
Fields of papers citing papers by Arthur Flexer
This network shows the impact of papers produced by Arthur Flexer. 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 Arthur Flexer. The network helps show where Arthur Flexer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Arthur Flexer, 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 | 2024 | 1 | |
| 2 | 2020 | 25 | |
| 3 | 2019 | 4 | |
| 4 | 2018 | 12 | |
| 5 | Basic Filters for Convolutional Neural Networks: Training or Design? | 2017 | 4 |
| 6 | 2016 | 26 | |
| 7 | 2015 | 23 | |
| 8 | Choosing the Metric in High-Dimensional Spaces Based on Hub Analysis | 2014 | 7 |
| 9 | 2014 | 10 | |
| 10 | The relation of hubs to the Doddington zoo in speaker verification | 2013 | 4 |
| 11 | 2013 | 75 | |
| 12 | Local and global scaling reduce hubs in space | 2012 | 51 |
| 13 | VISUALIZATION OF PERCEPTUAL QUALITIES IN TEXTURAL SOUNDS | 2012 | 15 |
| 14 | 2007 | 2 | |
| 15 | 2007 | 9 | |
| 16 | 2006 | 18 | |
| 17 | 2006 | 25 | |
| 18 | HIDDEN MARKOV MODELS FOR SPECTRAL SIMILARITY OF SONGS | 2005 | 14 |
| 19 | Limitations of Self-organizing Maps for Vector Quantization and Multidimensional Scaling | 1996 | 36 |
| 20 | Connectionists and Statisticans, Friends or Foes? | 1995 | 2 |
About Arthur Flexer
Arthur Flexer is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Artificial Intelligence and Music, having authored 71 papers that have together received 1.4k indexed citations. Recurring topics across this work include Music and Audio Processing (43 papers), Music Technology and Sound Studies (28 papers), Speech and Audio Processing (21 papers), Neuroscience and Music Perception (9 papers), Video Analysis and Summarization (8 papers), Neural Networks and Applications (8 papers), EEG and Brain-Computer Interfaces (8 papers) and Time Series Analysis and Forecasting (6 papers). The work is most often cited by research in Signal Processing (866 citations), Computer Vision and Pattern Recognition (729 citations), Cognitive Neuroscience (477 citations), Music (58 citations) and Artificial Intelligence (320 citations). Arthur Flexer has collaborated with scholars based in Austria, United States and United Kingdom. Frequent co-authors include Gerhard Widmer, Dominik Schnitzer, Georg Dorffner, Elias Pampalk, Julián Urbano, Markus Schedl, Georg Gruber, Thomas Grill, Martin Gasser and Geoffroy Peeters. Their work appears in journals such as Journal of New Music Research, Journal of Neurosurgical Anesthesiology, Applied Artificial Intelligence, Neurocomputing and Artificial Intelligence in Medicine.
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.