Matthew D. Sharp
Impact in
- Signal Processing top 5%
- Direction-of-Arrival Estimation Techniques
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- Magnetic and transport properties of perovskites and related materials
Papers in ⓘ
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- Blind Source Separation Techniques 5
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- Sparse and Compressive Sensing Techniques 9
- Co-authors
- Anna Scaglione (9 shared papers)John A. Kilner (3 shared papers)Thomas M. Comberiate (4 shared papers)S.H. Talisa (2 shared papers)John Druce (1 shared paper)Hidde H. Brongersma (1 shared paper)Mónica Burriel (1 shared paper)David S. McPhail (1 shared paper)
- Journals
- IEEE Transactions on Signal Processing (2 papers)IEEE Antennas and Wireless Propagation Letters (1 paper)Solid State Ionics (1 paper)Membranes (1 paper)Proceedings of the IEEE (1 paper)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Matthew D. Sharp
26 papers receiving 769 citations
Peers
Comparison fields: 5 of 52
- Signal Processing 113
- Electronic, Optical and Magnetic Materials 153
- Acoustics and Ultrasonics 7
- Aerospace Engineering 183
- Materials Chemistry 335
Countries citing papers authored by Matthew D. Sharp
This map shows the geographic impact of Matthew D. Sharp'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 Matthew D. Sharp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew D. Sharp more than expected).
Fields of papers citing papers by Matthew D. Sharp
This network shows the impact of papers produced by Matthew D. Sharp. 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 Matthew D. Sharp. The network helps show where Matthew D. Sharp may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew D. Sharp, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 294 | |
| 2 | 2016 | 160 | |
| 3 | 2022 | 47 | |
| 4 | 2008 | 38 | |
| 5 | 2014 | 32 | |
| 6 | 2016 | 31 | |
| 7 | 2016 | 30 | |
| 8 | 2013 | 28 | |
| 9 | 2009 | 26 | |
| 10 | 2015 | 26 | |
| 11 | 2013 | 16 | |
| 12 | 2011 | 11 | |
| 13 | 2016 | 10 | |
| 14 | 2008 | 9 | |
| 15 | 2006 | 8 | |
| 16 | 2011 | 6 | |
| 17 | 2016 | 4 | |
| 18 | 2016 | 3 | |
| 19 | 2015 | 3 | |
| 20 | 2010 | 3 |
About Matthew D. Sharp
Matthew D. Sharp is a scholar working on Signal Processing, Computational Mechanics, Instrumentation, Electrical and Electronic Engineering and Aerospace Engineering, having authored 26 papers that have together received 796 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (9 papers), Blind Source Separation Techniques (5 papers), Advanced Photonic Communication Systems (4 papers), Cooperative Communication and Network Coding (4 papers), Indoor and Outdoor Localization Technologies (4 papers), Electronic and Structural Properties of Oxides (3 papers), Radio Wave Propagation Studies (3 papers) and Advancements in Solid Oxide Fuel Cells (3 papers). The work is most often cited by research in Signal Processing (113 citations), Electronic, Optical and Magnetic Materials (153 citations), Acoustics and Ultrasonics (7 citations), Aerospace Engineering (183 citations) and Materials Chemistry (335 citations). Matthew D. Sharp has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Anna Scaglione, John A. Kilner, Thomas M. Comberiate, S.H. Talisa, John Druce, Hidde H. Brongersma, Mónica Burriel, David S. McPhail, Helena Téllez and Stuart N. Cook. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Antennas and Wireless Propagation Letters, Solid State Ionics, Membranes and Proceedings of the IEEE.
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.