M.S. Arulampalam

9 papers and 6.7k indexed citations i.

About

M.S. Arulampalam is a scholar working on Artificial Intelligence, Aerospace Engineering and Control and Systems Engineering. According to data from OpenAlex, M.S. Arulampalam has authored 9 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 4 papers in Aerospace Engineering and 2 papers in Control and Systems Engineering. Recurrent topics in M.S. Arulampalam’s work include Target Tracking and Data Fusion in Sensor Networks (9 papers), Bayesian Methods and Mixture Models (2 papers) and Inertial Sensor and Navigation (2 papers). M.S. Arulampalam is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (9 papers), Bayesian Methods and Mixture Models (2 papers) and Inertial Sensor and Navigation (2 papers). M.S. Arulampalam collaborates with scholars based in Australia and United Kingdom. M.S. Arulampalam's co-authors include Neil Gordon, Simon Maskell, Branko Ristić, Todd Mansell, Alfonso Farina, Davide Benvenuti, Mahendra Mallick, Robin J. Evans, B.F. La Scala and William Moran and has published in prestigious journals such as IEEE Transactions on Signal Processing, Signal Processing and EURASIP Journal on Advances in Signal Processing.

In The Last Decade

Co-authorship network of co-authors of M.S. Arulampalam i

Fields of papers citing papers by M.S. Arulampalam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by M.S. Arulampalam

Since Specialization
Citations

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).

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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