Michael Beard
Impact in
- Artificial Intelligence top 2%
- Target Tracking and Data Fusion in Sensor Networks
- Gaussian Processes and Bayesian Inference
- Aerospace Engineering top 5%
- Infrared Target Detection Methodologies
- Radar Systems and Signal Processing
Papers in
-
- Target Tracking and Data Fusion in Sensor Networks 14
- Gaussian Processes and Bayesian Inference 4
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- Distributed Sensor Networks and Detection Algorithms 6
- Co-authors
- Ba‐Ngu Vo (12 shared papers)Ba-Tuong Vo (12 shared papers)Claudio Fantacci (2 shared papers)Karl Granström (2 shared papers)Stephan Reuter (2 shared papers)Alexander Scheel (2 shared papers)Sanjeev Arulampalam (4 shared papers)Francesco Papi (1 shared paper)
- Journals
- IEEE Transactions on Signal Processing (3 papers)IEEE Transactions on Aerospace and Electronic Systems (1 paper)Information Fusion (1 paper)IEEE Signal Processing Letters (1 paper)eSpace (Curtin University) (7 papers)
In The Last Decade
Michael Beard
14 papers receiving 654 citations
Peers
Comparison fields: 5 of 38
- Artificial Intelligence 632
- Aerospace Engineering 246
- Computer Networks and Communications 206
- Oceanography 96
- Signal Processing 70
Countries citing papers authored by Michael Beard
This map shows the geographic impact of Michael Beard'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 Michael Beard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Beard more than expected).
Fields of papers citing papers by Michael Beard
This network shows the impact of papers produced by Michael Beard. 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 Michael Beard. The network helps show where Michael Beard may publish in the future.
Co-authors
The 9 scholars most cited alongside Michael Beard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 179 | |
| 2 | 2015 | 147 | |
| 3 | 2015 | 101 | |
| 4 | 2017 | 48 | |
| 5 | 2013 | 45 | |
| 6 | Sensor control for multi-target tracking using Cauchy-Schwarz divergence | 2015 | 35 |
| 7 | 2016 | 28 | |
| 8 | A generalised labelled multi-Bernoulli filter for extended multi-target tracking | 2015 | 22 |
| 9 | Gaussian mixture PHD and CPHD filtering with partially uniform target birth | 2012 | 20 |
| 10 | 2013 | 19 | |
| 11 | Performance of PHD and CPHD filtering versus JIPDA for bearings-only multi-target tracking | 2012 | 14 |
| 12 | 2018 | 11 | |
| 13 | Generalised labelled multi-Bernoulli forward-backward smoothing | 2016 | 10 |
| 14 | Multi-target tracking with merged measurements using labelled random finite sets | 2014 | 3 |
About Michael Beard
Michael Beard is a scholar working on Artificial Intelligence, Computer Networks and Communications, Oceanography, Civil and Structural Engineering and Aerospace Engineering, having authored 14 papers that have together received 682 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (14 papers), Distributed Sensor Networks and Detection Algorithms (6 papers), Underwater Acoustics Research (5 papers), Gaussian Processes and Bayesian Inference (4 papers), Infrared Target Detection Methodologies (2 papers), Water Systems and Optimization (1 paper), Time Series Analysis and Forecasting (1 paper) and Robotics and Sensor-Based Localization (1 paper). The work is most often cited by research in Artificial Intelligence (632 citations), Aerospace Engineering (246 citations), Computer Networks and Communications (206 citations), Oceanography (96 citations) and Signal Processing (70 citations). Michael Beard has collaborated with scholars based in Australia, Italy and Germany. Frequent co-authors include Ba‐Ngu Vo, Ba-Tuong Vo, Claudio Fantacci, Karl Granström, Stephan Reuter, Alexander Scheel, Sanjeev Arulampalam, Francesco Papi and Branko Ristić. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Aerospace and Electronic Systems, Information Fusion, IEEE Signal Processing Letters and eSpace (Curtin University).
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.