P.D. Fiore
Impact in
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- Advanced Vision and Imaging
- Advanced Image and Video Retrieval Techniques
- Optical measurement and interference techniques
- Signal Processing top 10%
- Blind Source Separation Techniques
Papers in
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- Low-power high-performance VLSI design 3
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- Digital Filter Design and Implementation 5
- Blind Source Separation Techniques 3
- Co-authors
- D.W. Tufts (1 shared paper)C. Myers (4 shared papers)Li Lee (1 shared paper)Apurva N. Mody (1 shared paper)Matthew Sherman (1 shared paper)Giuseppe Visaggio (1 shared paper)George C. Verghese (1 shared paper)S. Lang (1 shared paper)
- Journals
- IEEE Transactions on Computers (2 papers)Digital Signal Processing (1 paper)IEEE Signal Processing Letters (1 paper)IEEE Transactions on Information Theory (1 paper)IEEE Transactions on Signal Processing (1 paper)
- Partner nations
- United StatesSwedenItaly
In The Last Decade
P.D. Fiore
24 papers receiving 303 citations
Peers
Comparison fields: 5 of 49
- Computer Vision and Pattern Recognition 134
- Signal Processing 67
- Aerospace Engineering 135
- Geology 19
- Hardware and Architecture 17
Countries citing papers authored by P.D. Fiore
This map shows the geographic impact of P.D. Fiore'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 P.D. Fiore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P.D. Fiore more than expected).
Fields of papers citing papers by P.D. Fiore
This network shows the impact of papers produced by P.D. Fiore. 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 P.D. Fiore. The network helps show where P.D. Fiore may publish in the future.
Co-authors
The 9 scholars most cited alongside P.D. Fiore, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 135 | |
| 2 | 2007 | 45 | |
| 3 | 2002 | 43 | |
| 4 | 1999 | 14 | |
| 5 | 2008 | 13 | |
| 6 | 1998 | 10 | |
| 7 | 2013 | 9 | |
| 8 | 2002 | 8 | |
| 9 | 1998 | 6 | |
| 10 | 2000 | 6 | |
| 11 | 2002 | 5 | |
| 12 | 1998 | 5 | |
| 13 | 2000 | 5 | |
| 14 | 2002 | 4 | |
| 15 | 2000 | 3 | |
| 16 | 1999 | 3 | |
| 17 | 2002 | 3 | |
| 18 | 2011 | 2 | |
| 19 | 2002 | 2 | |
| 20 | 2010 | 2 |
About P.D. Fiore
P.D. Fiore is a scholar working on Electrical and Electronic Engineering, Signal Processing, Computational Mechanics, Computational Theory and Mathematics and Computer Vision and Pattern Recognition, having authored 28 papers that have together received 328 indexed citations. Recurring topics across this work include Advanced Adaptive Filtering Techniques (6 papers), Numerical Methods and Algorithms (6 papers), Digital Filter Design and Implementation (5 papers), Parallel Computing and Optimization Techniques (5 papers), Embedded Systems Design Techniques (4 papers), Blind Source Separation Techniques (3 papers), Advanced Vision and Imaging (3 papers) and Low-power high-performance VLSI design (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (134 citations), Signal Processing (67 citations), Aerospace Engineering (135 citations), Geology (19 citations) and Hardware and Architecture (17 citations). P.D. Fiore has collaborated with scholars based in United States, Sweden and Italy. Frequent co-authors include D.W. Tufts, C. Myers, Li Lee, Apurva N. Mody, Matthew Sherman, Giuseppe Visaggio, George C. Verghese, S. Lang and Pankaj Topiwala. Their work appears in journals such as IEEE Transactions on Computers, Digital Signal Processing, IEEE Signal Processing Letters, IEEE Transactions on Information Theory and IEEE Transactions on Signal Processing.
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.