Eric M. Dowling
Impact in
- Signal Processing top 2%
- Direction-of-Arrival Estimation Techniques
- Speech and Audio Processing
- Blind Source Separation Techniques
- Otorhinolaryngology top 10%
Papers in
-
- Direction-of-Arrival Estimation Techniques 24
- Blind Source Separation Techniques 15
- Speech and Audio Processing 10
- Co-authors
- R.D. DeGroatD.A. LinebargerDuncan L. MacFarlaneMatthew L. CarlsonDaniel JethanamestNicholas L. DeepJ.P. FonsekaChristine M. Lohse
- Journals
- IEEE Transactions on Signal Processing (10 papers)Head & Neck (6 papers)IEEE Communications Letters (5 papers)Otology & Neurotology (5 papers)The Laryngoscope (3 papers)
- Partner nations
- United StatesSwedenAustralia
In The Last Decade
Eric M. Dowling
78 papers receiving 839 citations
Peers
Comparison fields: 5 of 86
- Signal Processing 373
- Otorhinolaryngology 45
- Computational Mechanics 192
- Applied Mathematics 74
- Sensory Systems 30
Countries citing papers authored by Eric M. Dowling
This map shows the geographic impact of Eric M. Dowling'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 Eric M. Dowling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric M. Dowling more than expected).
Fields of papers citing papers by Eric M. Dowling
This network shows the impact of papers produced by Eric M. Dowling. 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 Eric M. Dowling. The network helps show where Eric M. Dowling may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Eric M. Dowling, 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 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 4 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 1 | |
| 7 | 2022 | 0 | |
| 8 | 2022 | 4 | |
| 9 | 2022 | 1 | |
| 10 | 2022 | 1 | |
| 11 | 2020 | 3 | |
| 12 | 2019 | 9 | |
| 13 | 2018 | 64 | |
| 14 | 2014 | 2 | |
| 15 | 2013 | 2 | |
| 16 | 1999 | 1 | |
| 17 | TLS based methods for exponential parameter estimation | 1997 | 1 |
| 18 | 1996 | 3 | |
| 19 | 1994 | 25 | |
| 20 | 1993 | 51 |
About Eric M. Dowling
Eric M. Dowling is a scholar working on Signal Processing, Otorhinolaryngology, Computational Mechanics, Computer Networks and Communications and Applied Mathematics, having authored 89 papers that have together received 890 indexed citations. Recurring topics across this work include Direction-of-Arrival Estimation Techniques (24 papers), Advanced Adaptive Filtering Techniques (19 papers), Blind Source Separation Techniques (15 papers), Advanced Wireless Communication Techniques (15 papers), Speech and Audio Processing (10 papers), Error Correcting Code Techniques (9 papers), Wireless Communication Networks Research (8 papers) and Statistical and numerical algorithms (6 papers). The work is most often cited by research in Signal Processing (373 citations), Otorhinolaryngology (45 citations), Computational Mechanics (192 citations), Applied Mathematics (74 citations) and Sensory Systems (30 citations). Eric M. Dowling has collaborated with scholars based in United States, Sweden and Australia. Frequent co-authors include R.D. DeGroat, D.A. Linebarger, Duncan L. MacFarlane, Matthew L. Carlson, Daniel Jethanamest, Nicholas L. Deep, J.P. Fonseka, Christine M. Lohse, Colin L. W. Driscoll and Katherine A. Lees. Their work appears in journals such as IEEE Transactions on Signal Processing, Head & Neck, IEEE Communications Letters, Otology & Neurotology and The Laryngoscope.
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.