D. Cochran
Impact in
- Signal Processing top 5%
- Blind Source Separation Techniques
-
- Distributed Sensor Networks and Detection Algorithms
- Cognitive Radio Networks and Spectrum Sensing
Papers in
-
- Blind Source Separation Techniques 20
- Speech and Audio Processing 8
-
- Image and Signal Denoising Methods 12
- Advanced Data Compression Techniques 5
- Co-authors
- H. GishKeith KastellaAlfred O. HeroHoward CaygillBill MoranSofia SuvorovaAntonia Papandreou‐SuppappolaJames J. Clark
- Journals
- IEEE Transactions on Signal Processing (4 papers)IEEE Signal Processing Magazine (2 papers)Advances in Computational Mathematics (1 paper)IEEE Transactions on Image Processing (1 paper)Electronics Letters (1 paper)
- Partner nations
- United StatesSwedenAustralia
In The Last Decade
D. Cochran
47 papers receiving 676 citations
Peers
Comparison fields: 5 of 73
- Signal Processing 158
- Computer Networks and Communications 294
- Aerospace Engineering 235
- Artificial Intelligence 214
- Computational Mechanics 105
Countries citing papers authored by D. Cochran
This map shows the geographic impact of D. Cochran'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 D. Cochran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Cochran more than expected).
Fields of papers citing papers by D. Cochran
This network shows the impact of papers produced by D. Cochran. 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 D. Cochran. The network helps show where D. Cochran may publish in the future.
Co-authorship network
The 25 scholars most cited alongside D. Cochran, 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 | 2015 | 1 | |
| 2 | 2012 | 2 | |
| 3 | Waveform Libraries | 2009 | 24 |
| 4 | 2007 | 4 | |
| 5 | 2005 | 3 | |
| 6 | 2003 | 0 | |
| 7 | 2003 | 2 | |
| 8 | 2003 | 26 | |
| 9 | 2002 | 1 | |
| 10 | 2002 | 108 | |
| 11 | 2002 | 1 | |
| 12 | 2002 | 6 | |
| 13 | 2002 | 0 | |
| 14 | 2002 | 2 | |
| 15 | 1999 | 6 | |
| 16 | 1999 | 1 | |
| 17 | 1999 | 1 | |
| 18 | 1995 | 89 | |
| 19 | 1994 | 1 | |
| 20 | 1991 | 1 |
About D. Cochran
D. Cochran is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Instrumentation, Aerospace Engineering and Applied Mathematics, having authored 51 papers that have together received 708 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (20 papers), Image and Signal Denoising Methods (12 papers), Target Tracking and Data Fusion in Sensor Networks (9 papers), Speech and Audio Processing (8 papers), Radar Systems and Signal Processing (8 papers), Advanced Data Compression Techniques (5 papers), Fault Detection and Control Systems (4 papers) and Structural Health Monitoring Techniques (4 papers). The work is most often cited by research in Signal Processing (158 citations), Computer Networks and Communications (294 citations), Aerospace Engineering (235 citations), Artificial Intelligence (214 citations) and Computational Mechanics (105 citations). D. Cochran has collaborated with scholars based in United States, Sweden and Australia. Frequent co-authors include H. Gish, Keith Kastella, Alfred O. Hero, Howard Caygill, Bill Moran, Sofia Suvorova, Antonia Papandreou‐Suppappola, James J. Clark, Robert Martin and G.W. Pan. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Signal Processing Magazine, Advances in Computational Mathematics, IEEE Transactions on Image Processing and Electronics Letters.
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.