William J. Fitzgerald
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Signal Processing top 2%
- Computational Mechanics top 5%
- Molecular Biology
- Co-authors
- Joseph J. K. Ó RuanaidhP. J. RaynerKurt S. RiedelRobin D. MorrisAnil KokaramErçan E. KuruoğluJohn P. BoydJA Stark
- Topics
- Blind Source Separation Techniques (14 papers)Advanced Adaptive Filtering Techniques (10 papers)Image and Signal Denoising Methods (9 papers)
- Cited by
- Computer Vision and Pattern RecognitionSignal ProcessingComputer Graphics and Computer-Aided Design
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Statistical AssociationBioinformatics
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
William J. Fitzgerald
71 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 168
- Computer Vision and Pattern Recognition 513
- Artificial Intelligence 289
- Signal Processing 255
- Computational Mechanics 204
- Molecular Biology 138
Countries citing papers authored by William J. Fitzgerald
This map shows the geographic impact of William J. Fitzgerald'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 William J. Fitzgerald with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William J. Fitzgerald more than expected).
Fields of papers citing papers by William J. Fitzgerald
This network shows the impact of papers produced by William J. Fitzgerald. 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 William J. Fitzgerald. The network helps show where William J. Fitzgerald may publish in the future.
Co-authorship network of co-authors of William J. Fitzgerald
This figure shows the co-authorship network connecting the top 25 collaborators of William J. Fitzgerald. A scholar is included among the top collaborators of William J. Fitzgerald based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with William J. Fitzgerald. William J. Fitzgerald is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 138 | |
| 4 | 9 | |
| 5 | 33 | |
| 6 | A dynamic state-space model for simulating scanning probe microscopy | 0 |
| 7 | 15 | |
| 8 | A Class of Kernels for Sets of Vectors | 7 |
| 9 | 3 | |
| 10 | 16 | |
| 11 | 22 | |
| 12 | 6 | |
| 13 | Evaluation of Productivity in Extensive Aquaculture Practices Using Interspatial TFP Index, Sulawesi, Indonesia | 10 |
| 14 | Approximation of α-stable probability densities using finite Gaussian mixtures | 15 |
| 15 | 121 | |
| 16 | 146 | |
| 17 | 9 | |
| 18 | 19 | |
| 19 | 1 | |
| 20 | 4 |
About William J. Fitzgerald
William J. Fitzgerald is a scholar working on Signal Processing, Acoustics and Ultrasonics and Computer Vision and Pattern Recognition, having authored 77 papers that have together received 1.9k indexed citations. Recurring topics across this work include Blind Source Separation Techniques (14 papers), Advanced Adaptive Filtering Techniques (10 papers) and Image and Signal Denoising Methods (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (513 citations), Signal Processing (255 citations) and Computer Graphics and Computer-Aided Design (80 citations). William J. Fitzgerald has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Joseph J. K. Ó Ruanaidh, P. J. Rayner, Kurt S. Riedel, Robin D. Morris, Anil Kokaram, Erçan E. Kuruoğlu, John P. Boyd, JA Stark, Robert J. Beck and Solomon Liao. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Statistical Association and Bioinformatics.
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.