WJ Fitzgerald

1.4k citations
81 papers · 965 indexed · h-index 16
Topics
Target Tracking and Data Fusion in Sensor Networks (11 papers)Bayesian Methods and Mixture Models (10 papers)Blind Source Separation Techniques (8 papers)

In The Last Decade

WJ Fitzgerald

78 papers receiving 898 citations

Peers

WJ Fitzgerald
Comparison fields: 5 of 105
  • Artificial Intelligence 338
  • Materials Chemistry 195
  • Signal Processing 173
  • Computer Networks and Communications 128
  • Electrical and Electronic Engineering 109
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Citations per field
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Citations per year

Countries citing papers authored by WJ Fitzgerald

Since Specialization
Citations

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

Fields of papers citing papers by WJ Fitzgerald

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by WJ 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 WJ Fitzgerald. The network helps show where WJ Fitzgerald may publish in the future.

Co-authorship network of co-authors of WJ Fitzgerald

This figure shows the co-authorship network connecting the top 25 collaborators of WJ Fitzgerald. A scholar is included among the top collaborators of WJ 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 WJ Fitzgerald. WJ Fitzgerald is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2
Simulating scanning ion conductance microscopy using a Monte Carlo approach
1
3
Simulation-based computational methods for Bayesian signal processing
2
4
A new analytic representation for the symmetric a-stable probability density function
3
5
Modelling correlated Rayleigh distributed clutter using the Gibbs sampler
1
6
A complex wavelet-transform approach to power and coherence measurement from non-stationary data
3
7
The Bayesian approach to signal modelling and classification
1
8
Wavelet-based correlation measurement and shift estimation
0
9 17
10
Bayesian parameter estimation and model selection in non-Gaussian noise environments
1
11 1
12
The application of Bayesian inference to linear prediction of speech
1
13
ANALYSIS OF THE EEG USING CHAOTIC DYNAMICS
1
14 4
15
The restoration of digital audio recordings using the Gibbs sampler
3
16 3
17
Elements of biomechanics
1
18
Are the anomalous dielectric properties of polar ice due to impurities?
6
19 3
20 2

About WJ Fitzgerald

WJ Fitzgerald is a scholar working on Signal Processing, Statistics and Probability and Artificial Intelligence, having authored 81 papers that have together received 965 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (11 papers), Bayesian Methods and Mixture Models (10 papers) and Blind Source Separation Techniques (8 papers). The work is most often cited by research in Signal Processing (173 citations), Statistics and Probability (88 citations) and Artificial Intelligence (338 citations). WJ Fitzgerald has collaborated with scholars based in United Kingdom, France and Australia. Frequent co-authors include Matthew Orton, Christophe Andrieu, Randal Douc, J. G. Paren, H. Grimm, A. H. Moudden, F. Dénoyer, Sirajudeen Gulam Razul, C. N. W. Darlington and D.A. O'Connor. Their work appears in journals such as Physical Review Letters, Biophysical Journal and Chemical Physics Letters.

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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