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.
Video Processing From Electro-Optical Sensors for Object Detection and Tracking in a Maritime Environment: A Survey
2017323 citationsDilip K. Prasad, Deepu Rajan et al.IEEE Transactions on Intelligent Transportation Systemsprofile →
Exploiting AIS Data for Intelligent Maritime Navigation: A Comprehensive Survey From Data to Methodology
2017318 citationsEnmei Tu, Guanghao Zhang et al.IEEE Transactions on Intelligent Transportation Systemsprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by Eshan Rajabally
Since
Specialization
Citations
This map shows the geographic impact of Eshan Rajabally'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 Eshan Rajabally with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eshan Rajabally more than expected).
This network shows the impact of papers produced by Eshan Rajabally. 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 Eshan Rajabally. The network helps show where Eshan Rajabally may publish in the future.
Co-authorship network of co-authors of Eshan Rajabally
This figure shows the co-authorship network connecting the top 25 collaborators of Eshan Rajabally.
A scholar is included among the top collaborators of Eshan Rajabally 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 Eshan Rajabally. Eshan Rajabally is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Rajabally, Eshan, et al.. (2019). Using Immersive Audio and Vibration to Enhance Remote Diagnosis of Mechanical Failure in Uncrewed Vessels.4 indexed citations
Hirdaris, Spyros, et al.. (2017). MAXCMAS project: Autonomous COLREGs compliant ship navigation. Research Portal (Queen's University Belfast). 454–464.11 indexed citations
7.
Prasad, Dilip K., Deepu Rajan, Lily Rachmawati, Eshan Rajabally, & Chai Quek. (2017). Video Processing From Electro-Optical Sensors for Object Detection and Tracking in a Maritime Environment: A Survey. IEEE Transactions on Intelligent Transportation Systems. 18(8). 1993–2016.323 indexed citations breakdown →
Sen, Pratyush, et al.. (2003). COMBINING EVIDENCE TO JUSTIFY THE APPROPRIATE USE OF MODELS IN ENGINEERING DESIGN. DS 31: Proceedings of ICED 03, the 14th International Conference on Engineering Design, Stockholm.1 indexed citations
Rajabally, Eshan, et al.. (2002). Assessing Uncertainty in Models of Complex Systems. 323–327.3 indexed citations
20.
Rajabally, Eshan, et al.. (2002). A methodology for model dependability assessment.4 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.