P.D. Fiore

535 citations
28 papers · 328 · h-index 8

Impact in

Papers in

P.D. Fiore

24 papers receiving 303 citations

Peers

P.D. Fiore
Comparison fields: 5 of 49
  • Computer Vision and Pattern Recognition 135
  • Signal Processing 67
  • Aerospace Engineering 135
  • Geology 19
  • Hardware and Architecture 16
Replace Pasqualina Fragneto with:
Pasqualina Fragneto Italy
George Lentaris Greece
Olcay Akay Türkiye
Asghar Rahimi Iran
In-So Kweon South Korea
Sreeraj Rajendran Belgium
Hua Fu China
Jinyang Guo China
A.B. Sesay Canada
P.D. Fiore relative to Pasqualina Fragneto Italy Pasqualina Fragneto's profile →
Citations per field
00.5×3.8×
Pasqualina Fragneto · 1×
Citations per year

Countries citing papers authored by P.D. Fiore

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with P.D. Fiore Line = papers co-authored together P.D. Fiore links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001135
2 200745
3 200243
4 199914
5 200812
6 199811
7 20139
8 20028
9 20006
10 19986
11 19985
12 20005
13 20025
14 20024
15 20003
16 20023
17 19993
18 20112
19 20022
20 20102

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 Numerical Methods and Algorithms (6 papers), Advanced Adaptive Filtering Techniques (6 papers), Parallel Computing and Optimization Techniques (5 papers), Digital Filter Design and Implementation (5 papers), Embedded Systems Design Techniques (4 papers), Robotics and Sensor-Based Localization (3 papers), Low-power high-performance VLSI design (3 papers) and Blind Source Separation Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (135 citations), Signal Processing (67 citations), Aerospace Engineering (135 citations), Geology (19 citations) and Hardware and Architecture (16 citations). P.D. Fiore has collaborated with scholars based in United States, Sweden and Italy. Frequent co-authors include D.W. Tufts, Li Lee, C. Myers, Apurva N. Mody, Matthew Sherman, George C. Verghese, Giuseppe Visaggio, S. Lang and Pankaj Topiwala. Their work appears in journals such as IEEE Transactions on Computers, IEEE Transactions on Pattern Analysis and Machine Intelligence, Digital Signal Processing, IEEE Communications Magazine and IEEE Transactions on Information Theory.

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.

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