B. La Scala
- Artificial Intelligence top 5%
- Statistics and Probability top 2%
- Ocean Engineering top 5%
- Aerospace Engineering top 10%
- Computer Networks and Communications top 10%
- Co-authors
- Peter HallMark R. MorelandeDarko MušickiBranko RistićNeil GordonMahendra MallickBill MoranAlfonso Farina
- Topics
- Target Tracking and Data Fusion in Sensor Networks (16 papers)Distributed Sensor Networks and Detection Algorithms (5 papers)Guidance and Control Systems (3 papers)
- Journals
- IEEE Transactions on Aerospace and Electronic SystemsInternational Statistical ReviewActa Automatica Sinica
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
B. La Scala
19 papers receiving 766 citations
Peers
Comparison fields: 5 of 62
- Artificial Intelligence 449
- Statistics and Probability 257
- Ocean Engineering 206
- Aerospace Engineering 169
- Computer Networks and Communications 127
Countries citing papers authored by B. La Scala
This map shows the geographic impact of B. La Scala'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 B. La Scala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites B. La Scala more than expected).
Fields of papers citing papers by B. La Scala
This network shows the impact of papers produced by B. La Scala. 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 B. La Scala. The network helps show where B. La Scala may publish in the future.
Co-authorship network of co-authors of B. La Scala
This figure shows the co-authorship network connecting the top 25 collaborators of B. La Scala. A scholar is included among the top collaborators of B. La Scala 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 B. La Scala. B. La Scala is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | Comparison of filtering algorithms for ground target tracking using space-based GMTI radar | 5 |
| 3 | Feature aided probabilistic data association for multi-target tracking | 11 |
| 4 | An analysis of the single sensor bearings-only tracking problem | 27 |
| 5 | 53 | |
| 6 | Statistical analysis of motion patterns in AIS Data: Anomaly detection and motion prediction | 220 |
| 7 | 2 | |
| 8 | 104 | |
| 9 | 9 | |
| 10 | 18 | |
| 11 | 24 | |
| 12 | 2 | |
| 13 | 6 | |
| 14 | 19 | |
| 15 | 1 | |
| 16 | 7 | |
| 17 | 18 | |
| 18 | 14 | |
| 19 | 273 |
About B. La Scala
B. La Scala is a scholar working on Artificial Intelligence, Statistics and Probability and Aerospace Engineering, having authored 19 papers that have together received 818 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (16 papers), Distributed Sensor Networks and Detection Algorithms (5 papers) and Guidance and Control Systems (3 papers). The work is most often cited by research in Statistics and Probability (257 citations), Artificial Intelligence (449 citations) and Ocean Engineering (206 citations). B. La Scala has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Peter Hall, Mark R. Morelande, Darko Mušicki, Branko Ristić, Neil Gordon, Mahendra Mallick, Bill Moran, Alfonso Farina, Ruben Evens and Robin J. Evans. Their work appears in journals such as IEEE Transactions on Aerospace and Electronic Systems, International Statistical Review and Acta Automatica Sinica.
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.