M.S. Arulampalam
- Artificial Intelligence top 0.1%
- Aerospace Engineering top 0.2%
- Electrical and Electronic Engineering top 2%
- Computer Vision and Pattern Recognition top 0.5%
- Control and Systems Engineering top 0.5%
- Co-authors
- Neil GordonSimon MaskellBranko RistićTodd MansellAlfonso FarinaDavide BenvenutiMatthew OrtonRobin J. Evans
- Topics
- Target Tracking and Data Fusion in Sensor Networks (14 papers)Structural Health Monitoring Techniques (2 papers)Indoor and Outdoor Localization Technologies (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Signal ProcessingSignal Processing
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
M.S. Arulampalam
13 papers receiving 8.4k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Artificial Intelligence 5.0k
- Aerospace Engineering 2.4k
- Electrical and Electronic Engineering 2.0k
- Computer Vision and Pattern Recognition 1.9k
- Control and Systems Engineering 1.9k
Countries citing papers authored by M.S. Arulampalam
This map shows the geographic impact of M.S. Arulampalam'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 M.S. Arulampalam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.S. Arulampalam more than expected).
Fields of papers citing papers by M.S. Arulampalam
This network shows the impact of papers produced by M.S. Arulampalam. 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 M.S. Arulampalam. The network helps show where M.S. Arulampalam may publish in the future.
Co-authorship network of co-authors of M.S. Arulampalam
This figure shows the co-authorship network connecting the top 25 collaborators of M.S. Arulampalam. A scholar is included among the top collaborators of M.S. Arulampalam 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 M.S. Arulampalam. M.S. Arulampalam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Track-Before-Detect for an Active Towed Array Sonar | 3 |
| 2 | 3 | |
| 3 | 6 | |
| 4 | 0 | |
| 5 | 11 | |
| 6 | 2 | |
| 7 | 283 | |
| 8 | 87 | |
| 9 | 76 | |
| 10 | 130 | |
| 11 | 33 | |
| 12 | 3 | |
| 13 | A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian trackingbreakdown → | 8355 |
| 14 | 3 |
About M.S. Arulampalam
M.S. Arulampalam is a scholar working on Artificial Intelligence, Aerospace Engineering and Control and Systems Engineering, having authored 14 papers that have together received 9.0k indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (14 papers), Structural Health Monitoring Techniques (2 papers) and Indoor and Outdoor Localization Technologies (2 papers). The work is most often cited by research in Artificial Intelligence (5.0k citations), Aerospace Engineering (2.4k citations) and Computer Vision and Pattern Recognition (1.9k citations). M.S. Arulampalam has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Neil Gordon, Simon Maskell, Branko Ristić, Todd Mansell, Alfonso Farina, Davide Benvenuti, Matthew Orton, Robin J. Evans, Mahendra Mallick and B.F. La Scala. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Signal Processing and Signal Processing.
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.