Ronald W. Schafer
- Computer Vision and Pattern Recognition top 0.1%
- Signal Processing top 0.02%
- Electrical and Electronic Engineering top 0.5%
- Biomedical Engineering top 1%
- Computational Mechanics top 0.2%
- Co-authors
- Alan V. OppenheimL. R. RabinerLawrence R. RabinerPetros MaragosR.M. MersereauJohn R. BuckCharles M. RaderThomas G. Stockham
- Topics
- Speech and Audio Processing (52 papers)Image and Signal Denoising Methods (41 papers)Advanced Data Compression Techniques (38 papers)
- Journals
- Proceedings of the National Academy of SciencesNeuronIEEE Transactions on Pattern Analysis and Machine Intelligence
- Partner nations
- United StatesBrazilNetherlands
In The Last Decade
Ronald W. Schafer
183 papers receiving 17.0k citations
Hit Papers
Peers
Comparison fields: 5 of 211
- Computer Vision and Pattern Recognition 5.7k
- Signal Processing 5.2k
- Electrical and Electronic Engineering 4.2k
- Biomedical Engineering 2.4k
- Computational Mechanics 2.2k
Countries citing papers authored by Ronald W. Schafer
This map shows the geographic impact of Ronald W. Schafer'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 Ronald W. Schafer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ronald W. Schafer more than expected).
Fields of papers citing papers by Ronald W. Schafer
This network shows the impact of papers produced by Ronald W. Schafer. 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 Ronald W. Schafer. The network helps show where Ronald W. Schafer may publish in the future.
Co-authorship network of co-authors of Ronald W. Schafer
This figure shows the co-authorship network connecting the top 25 collaborators of Ronald W. Schafer. A scholar is included among the top collaborators of Ronald W. Schafer 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 Ronald W. Schafer. Ronald W. Schafer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 8 | |
| 3 | 61 | |
| 4 | EW-PESQ: A Quality Assessment Method for Speech Signals Sampled at 48 kHz | 3 |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 7 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 13 | |
| 11 | 8 | |
| 12 | 2 | |
| 13 | Discrete-time signal processing (2nd ed.)breakdown → | 729 |
| 14 | An MPEG Audio Layered Transcoder | 4 |
| 15 | 36 | |
| 16 | 14 | |
| 17 | 39 | |
| 18 | Scientific bases of human-machine communication by voice | 1 |
| 19 | The symbolic manipulation and analysis of morphological algorithms | 1 |
| 20 | 8 |
About Ronald W. Schafer
Ronald W. Schafer is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Architecture, having authored 203 papers that have together received 18.6k indexed citations. Recurring topics across this work include Speech and Audio Processing (52 papers), Image and Signal Denoising Methods (41 papers) and Advanced Data Compression Techniques (38 papers). The work is most often cited by research in Signal Processing (5.2k citations), Computer Vision and Pattern Recognition (5.7k citations) and Media Technology (1.4k citations). Ronald W. Schafer has collaborated with scholars based in United States, Brazil and Netherlands. Frequent co-authors include Alan V. Oppenheim, L. R. Rabiner, Lawrence R. Rabiner, Petros Maragos, Petros Maragos, R.M. Mersereau, John R. Buck, Charles M. Rader, Thomas G. Stockham and Mark A. Richards. Their work appears in journals such as Proceedings of the National Academy of Sciences, Neuron and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.