D.J. Nelson
- Signal Processing top 5%
- Speech and Audio Processing 17
- Blind Source Separation Techniques 14
- Music and Audio Processing 8
- Automotive Engineering top 5%
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- Electronic Packaging and Soldering Technologies 6
- Advanced Electrical Measurement Techniques 5
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- Speech Recognition and Synthesis 11
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- Image and Signal Denoising Methods 7
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- Heat Transfer and Optimization 5
- Co-authors
- M. EllisMichael R. von SpakovskyNathan P. SiegelS. UmeshByard D. WoodLeon CohenBrian VickDavid C. Smith
- Cited by
- Renewable Energy, Sustainability and the EnvironmentSignal ProcessingAutomotive Engineering
- Journals
- International Journal of Heat and Mass Transfer (2 papers)Journal of Power Sources (2 papers)Information Sciences (1 paper)
- Partner nations
- United StatesIndiaAustralia
In The Last Decade
D.J. Nelson
63 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 84
- Renewable Energy, Sustainability and the Environment 505
- Signal Processing 216
- Automotive Engineering 218
- Electrical and Electronic Engineering 955
- Energy Engineering and Power Technology 31
Countries citing papers authored by D.J. Nelson
This map shows the geographic impact of D.J. Nelson'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.J. Nelson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D.J. Nelson more than expected).
Fields of papers citing papers by D.J. Nelson
This network shows the impact of papers produced by D.J. Nelson. 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.J. Nelson. The network helps show where D.J. Nelson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside D.J. Nelson, 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 | 2014 | 3 | |
| 2 | 2006 | 4 | |
| 3 | 2005 | 1 | |
| 4 | 2004 | 89 | |
| 5 | 2004 | 2 | |
| 6 | 2002 | 5 | |
| 7 | 2002 | 10 | |
| 8 | 2002 | 4 | |
| 9 | 2002 | 3 | |
| 10 | 2002 | 1 | |
| 11 | 2002 | 7 | |
| 12 | 2002 | 4 | |
| 13 | 2002 | 2 | |
| 14 | 2002 | 3 | |
| 15 | TIME-EVOLUTION OF THE POWER SPECTRUM OF THE BLACK HOLE X-RAY NOVA XTE J1550-564 | 2001 | 1 |
| 16 | 2001 | 335 | |
| 17 | 1999 | 43 | |
| 18 | 1993 | 63 | |
| 19 | 1993 | 8 | |
| 20 | 1993 | 10 |
About D.J. Nelson
D.J. Nelson is a scholar working on Signal Processing, Artificial Intelligence and Renewable Energy, Sustainability and the Environment, having authored 67 papers that have together received 1.4k indexed citations. Recurring topics across this work include Speech and Audio Processing (17 papers), Blind Source Separation Techniques (14 papers), Speech Recognition and Synthesis (11 papers), Music and Audio Processing (8 papers), Image and Signal Denoising Methods (7 papers), Electronic Packaging and Soldering Technologies (6 papers), Advanced Electrical Measurement Techniques (5 papers) and Heat Transfer and Optimization (5 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (505 citations), Signal Processing (216 citations) and Automotive Engineering (218 citations). D.J. Nelson has collaborated with scholars based in United States, India and Australia. Frequent co-authors include M. Ellis, Michael R. von Spakovsky, Nathan P. Siegel, S. Umesh, Byard D. Wood, Leon Cohen, Brian Vick, David C. Smith, D. Borojevic and S. Haque. Their work appears in journals such as International Journal of Heat and Mass Transfer, Journal of Power Sources, Information Sciences, Journal of Solar Energy Engineering and Journal of Heat Transfer.
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.