David G. Daut
- Electrical and Electronic Engineering top 5%
- Computer Networks and Communications top 2%
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 5%
- Artificial Intelligence top 10%
- Co-authors
- J.W. ModestinoD.A. AtlasWen‐Yang GaoAly F. ElrefaieRichard E. WagnerWen GaoDongming ZhaoL.J. Greenstein
- Topics
- Advanced Wireless Communication Techniques (25 papers)Advanced Data Compression Techniques (23 papers)Wireless Communication Networks Research (14 papers)
- Cited by
- Signal ProcessingComputer Networks and CommunicationsComputer Vision and Pattern Recognition
- Partner nations
- United StatesGermanyTaiwan
In The Last Decade
David G. Daut
66 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 59
- Electrical and Electronic Engineering 698
- Computer Networks and Communications 506
- Computer Vision and Pattern Recognition 287
- Signal Processing 247
- Artificial Intelligence 144
Countries citing papers authored by David G. Daut
This map shows the geographic impact of David G. Daut'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 David G. Daut with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David G. Daut more than expected).
Fields of papers citing papers by David G. Daut
This network shows the impact of papers produced by David G. Daut. 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 David G. Daut. The network helps show where David G. Daut may publish in the future.
Co-authorship network of co-authors of David G. Daut
This figure shows the co-authorship network connecting the top 25 collaborators of David G. Daut. A scholar is included among the top collaborators of David G. Daut 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 David G. Daut. David G. Daut 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 | 11 | |
| 3 | 13 | |
| 4 | 17 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 53 | |
| 12 | 27 | |
| 13 | 1 | |
| 14 | 223 | |
| 15 | 0 | |
| 16 | Two-dimensional hybrid block transform/DPCM coding of images | 1 |
| 17 | 96 | |
| 18 | 2 | |
| 19 | COMBINED SOURCE-CHANNEL CODING OF IMAGES USING THE BLOCK COSINE TRANSFORM. | 1 |
| 20 | 110 |
About David G. Daut
David G. Daut is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 76 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (25 papers), Advanced Data Compression Techniques (23 papers) and Wireless Communication Networks Research (14 papers). The work is most often cited by research in Signal Processing (247 citations), Computer Networks and Communications (506 citations) and Computer Vision and Pattern Recognition (287 citations). David G. Daut has collaborated with scholars based in United States, Germany and Taiwan. Frequent co-authors include J.W. Modestino, D.A. Atlas, Wen‐Yang Gao, Aly F. Elrefaie, Richard E. Wagner, Wen Gao, Dongming Zhao, L.J. Greenstein, M. Shridhar and Ming Yu. Their work appears in journals such as IEEE Transactions on Information Theory, Optics Letters and IEEE Transactions on Communications.
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.