Peter O’Shea

2.5k citations
101 papers · 1.3k · h-index 19

Impact in

Papers in

Peter O’Shea

93 papers receiving 1.2k citations

Peers

Peter O’Shea
Comparison fields: 5 of 82
  • Signal Processing 289
  • Aerospace Engineering 402
  • Control and Systems Engineering 373
  • Computer Vision and Pattern Recognition 274
  • Oceanography 100
Replace Dapang Chen with:
Dapang Chen United States
Shir Peleg Israel
Antonia Papandreou‐Suppappola United States
Miloš Daković Montenegro
Hongbing Ji China
J.-P. Le Cadre France
Marko Simeunović Montenegro
C.W. Therrien United States
Peter J. Kootsookos Australia
Çağatay Candan Türkiye
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Citations per year

Countries citing papers authored by Peter O’Shea

Since Specialization
Citations

This map shows the geographic impact of Peter O’Shea'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 Peter O’Shea with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter O’Shea more than expected).

Fields of papers citing papers by Peter O’Shea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter O’Shea. 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 Peter O’Shea. The network helps show where Peter O’Shea may publish in the future.

Co-authors

The 25 scholars most cited alongside Peter O’Shea, 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 Peter O’Shea Line = papers co-authored together Peter O’Shea links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Fast Algorithm for Estimating the Parameters of a Quadratic FM Signal
2004233
2 1994173
3 200974
4 201259
5 199041
6 201140
7 201239
8 200735
9
Efficient Single Bit Ternary Digital Filtering Using Sigma-Delts Modulator
200431
10 198931
11 200725
12 200625
13 200925
14 200522
15 200822
16 199622
17 201219
18 201319
19 200619
20 201118

About Peter O’Shea

Peter O’Shea is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Signal Processing, Aerospace Engineering and Computer Vision and Pattern Recognition, having authored 101 papers that have together received 1.3k indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (13 papers), Analog and Mixed-Signal Circuit Design (10 papers), Structural Health Monitoring Techniques (10 papers), Digital Filter Design and Implementation (9 papers), Power System Optimization and Stability (9 papers), Advanced Electrical Measurement Techniques (8 papers), Infrared Target Detection Methodologies (7 papers) and Vibration and Dynamic Analysis (7 papers). The work is most often cited by research in Signal Processing (289 citations), Aerospace Engineering (402 citations), Control and Systems Engineering (373 citations), Computer Vision and Pattern Recognition (274 citations) and Oceanography (100 citations). Peter O’Shea has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include B. Boashash, Zahir M. Hussain, Amin Z. Sadik, Jason Ford, John Lai, Luis Mejías, Tian Ran Lin, Chris K. Mechefske, Gerard Ledwich and Jie Pan. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Power Systems, Electronics Letters, IEEE Transactions on Aerospace and Electronic Systems and IEEE Aerospace and Electronic Systems Magazine.

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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