Michael Beard

927 total citations
14 papers, 682 citations indexed

About

Michael Beard is a scholar working on Artificial Intelligence, Computer Networks and Communications and Oceanography. According to data from OpenAlex, Michael Beard has authored 14 papers receiving a total of 682 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 6 papers in Computer Networks and Communications and 5 papers in Oceanography. Recurrent topics in Michael Beard's work include Target Tracking and Data Fusion in Sensor Networks (14 papers), Distributed Sensor Networks and Detection Algorithms (6 papers) and Underwater Acoustics Research (5 papers). Michael Beard is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (14 papers), Distributed Sensor Networks and Detection Algorithms (6 papers) and Underwater Acoustics Research (5 papers). Michael Beard collaborates with scholars based in Australia, Germany and Italy. Michael Beard's co-authors include Ba‐Ngu Vo, Ba-Tuong Vo, Claudio Fantacci, Stephan Reuter, Karl Granström, Alexander Scheel, Sanjeev Arulampalam, Francesco Papi and Branko Ristić and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Aerospace and Electronic Systems and Information Fusion.

In The Last Decade

Michael Beard

14 papers receiving 654 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael Beard Australia 12 632 246 206 96 94 14 682
Martin Ulmke Germany 12 593 0.9× 243 1.0× 154 0.7× 93 1.0× 96 1.0× 52 697
Samuel J. Davey Australia 13 562 0.9× 412 1.7× 157 0.8× 86 0.9× 87 0.9× 56 723
Tod Luginbuhl United States 12 558 0.9× 183 0.7× 142 0.7× 78 0.8× 69 0.7× 29 718
Dietrich Fränken Germany 11 594 0.9× 298 1.2× 159 0.8× 66 0.7× 158 1.7× 36 802
J.N. Driessen Netherlands 9 389 0.6× 245 1.0× 92 0.4× 71 0.7× 86 0.9× 17 590
Carine Hue France 7 458 0.7× 173 0.7× 138 0.7× 49 0.5× 108 1.1× 9 651
Bailu Wang China 12 511 0.8× 147 0.6× 354 1.7× 37 0.4× 99 1.1× 35 617
Kusha Panta Australia 11 497 0.8× 191 0.8× 124 0.6× 94 1.0× 251 2.7× 22 711
Alexander Charlish Germany 13 355 0.6× 514 2.1× 136 0.7× 41 0.4× 97 1.0× 57 718
Kevin Gilholm United Kingdom 4 451 0.7× 224 0.9× 78 0.4× 64 0.7× 91 1.0× 10 505

Countries citing papers authored by Michael Beard

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Michael Beard

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

All Works

14 of 14 papers shown
1.
Beard, Michael, Ba-Tuong Vo, & Ba‐Ngu Vo. (2018). Performance Evaluation for Large-Scale Multi-Target Tracking Algorithms. eSpace (Curtin University). 1–5. 11 indexed citations
2.
Beard, Michael, Ba-Tuong Vo, & Ba‐Ngu Vo. (2017). OSPA(2): Using the OSPA metric to evaluate multi-target tracking performance. eSpace (Curtin University). 86–91. 48 indexed citations
3.
Beard, Michael, Ba-Tuong Vo, & Ba‐Ngu Vo. (2016). Generalised labelled multi-Bernoulli forward-backward smoothing. eSpace (Curtin University). 688–694. 10 indexed citations
4.
Ristić, Branko, Michael Beard, & Claudio Fantacci. (2016). An overview of particle methods for random finite set models. Information Fusion. 31. 110–126. 28 indexed citations
5.
Beard, Michael, Stephan Reuter, Karl Granström, et al.. (2015). A generalised labelled multi-Bernoulli filter for extended multi-target tracking. eSpace (Curtin University). 991–998. 22 indexed citations
6.
Beard, Michael, Ba-Tuong Vo, Ba‐Ngu Vo, & Sanjeev Arulampalam. (2015). Sensor control for multi-target tracking using Cauchy-Schwarz divergence. eSpace (Curtin University). 937–944. 35 indexed citations
7.
Beard, Michael, Ba-Tuong Vo, & Ba‐Ngu Vo. (2015). Bayesian Multi-Target Tracking With Merged Measurements Using Labelled Random Finite Sets. IEEE Transactions on Signal Processing. 63(6). 1433–1447. 101 indexed citations
8.
Beard, Michael, Stephan Reuter, Karl Granström, et al.. (2015). Multiple Extended Target Tracking With Labeled Random Finite Sets. IEEE Transactions on Signal Processing. 64(7). 1638–1653. 179 indexed citations
9.
Papi, Francesco, Ba‐Ngu Vo, Ba-Tuong Vo, Claudio Fantacci, & Michael Beard. (2015). Generalized Labeled Multi-Bernoulli Approximation of Multi-Object Densities. IEEE Transactions on Signal Processing. 63(20). 5487–5497. 147 indexed citations
10.
Beard, Michael, Ba-Tuong Vo, & Ba‐Ngu Vo. (2014). Multi-target tracking with merged measurements using labelled random finite sets. eSpace (Curtin University). 1–8. 3 indexed citations
11.
Beard, Michael, Ba-Tuong Vo, Ba‐Ngu Vo, & Sanjeev Arulampalam. (2013). A Partially Uniform Target Birth Model for Gaussian Mixture PHD/CPHD Filtering. IEEE Transactions on Aerospace and Electronic Systems. 49(4). 2835–2844. 45 indexed citations
12.
Beard, Michael, Ba-Tuong Vo, & Ba‐Ngu Vo. (2013). Multitarget Filtering With Unknown Clutter Density Using a Bootstrap GMCPHD Filter. IEEE Signal Processing Letters. 20(4). 323–326. 19 indexed citations
13.
Beard, Michael, Ba-Tuong Vo, Ba‐Ngu Vo, & Sanjeev Arulampalam. (2012). Gaussian mixture PHD and CPHD filtering with partially uniform target birth. eSpace (Curtin University). 535–541. 20 indexed citations
14.
Beard, Michael & Sanjeev Arulampalam. (2012). Performance of PHD and CPHD filtering versus JIPDA for bearings-only multi-target tracking. 542–549. 14 indexed citations

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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