Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Countries citing papers authored by T. Kirubarajan
Since
Specialization
Citations
This map shows the geographic impact of T. Kirubarajan'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 T. Kirubarajan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Kirubarajan more than expected).
This network shows the impact of papers produced by T. Kirubarajan. 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 T. Kirubarajan. The network helps show where T. Kirubarajan may publish in the future.
Co-authorship network of co-authors of T. Kirubarajan
This figure shows the co-authorship network connecting the top 25 collaborators of T. Kirubarajan.
A scholar is included among the top collaborators of T. Kirubarajan 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 T. Kirubarajan. T. Kirubarajan is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Taghavi, Ehsan, et al.. (2015). Fusing social network data with hard data. International Conference on Information Fusion. 652–658.4 indexed citations
8.
Mallick, Mahendra, B. La Scala, Branko Ristić, T. Kirubarajan, & Jon Hill. (2015). Comparison of filtering algorithms for ground target tracking using space-based GMTI radar. RMIT Research Repository (RMIT University Library). 1672–1679.5 indexed citations
9.
Kirubarajan, T., et al.. (2013). Minimum detectable velocity evaluation of bistatic radar and its relevance for ground target tracking. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1. 343–348.
10.
Taghavi, Ehsan, Ratnasingham Tharmarasa, T. Kirubarajan, & Yaakov Bar‐Shalom. (2013). Bias estimation for practical distributed multiradar-multitarget tracking systems. International Conference on Information Fusion. 1304–1311.5 indexed citations
11.
Erkan, Doruk, T. Kirubarajan, & Murat Efe. (2013). Improved MeMBer filter with modeling of spurious targets. International Conference on Information Fusion. 813–819.6 indexed citations
12.
Gorji, A. A., T. Kirubarajan, & Ratnasingham Tharmarasa. (2012). Antenna allocation for MIMO radars with collocated antennas. International Conference on Information Fusion. 424–431.9 indexed citations
13.
Kirubarajan, T., et al.. (2012). Doppler blind zone analysis for ground target tracking with bistatic airborne GMTI radar. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 2331–2338.6 indexed citations
14.
Tharmarasa, Ratnasingham, et al.. (2012). Distributed Tracking with a PHD Filter using Efficient Measurement Encoding.. 7. 114–130.2 indexed citations
15.
Gorji, A. A., Ratnasingham Tharmarasa, & T. Kirubarajan. (2011). Performance measures for multiple target tracking problems. International Conference on Information Fusion. 14. 1–8.49 indexed citations
16.
Zhou, Gongjian, et al.. (2011). Enhanced sequential nonlinear tracking filter with denoised pseudo measurements. International Conference on Information Fusion. 1–7.7 indexed citations
17.
Tharmarasa, Ratnasingham, et al.. (2011). Online clutter estimation using a Gaussian kernel density estimator for target tracking. International Conference on Information Fusion. 1–8.5 indexed citations
18.
Gadsden, S. Andrew, et al.. (2011). Combined particle and smooth variable structure filtering for nonlinear estimation problems. International Conference on Information Fusion. 1–8.6 indexed citations
19.
Kirubarajan, T., et al.. (2009). Wasserstein distance for the fusion of multisensor multitarget particle filter clouds. International Conference on Information Fusion. 25–32.3 indexed citations
20.
Kirubarajan, T., et al.. (2008). Multisensor particle filter cloud fusion for multitarget tracking. International Conference on Information Fusion. 1–8.7 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.