Ronnie Rajan

789 total citations
2 papers, 2 citations indexed

About

Ronnie Rajan is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics and Epidemiology. According to data from OpenAlex, Ronnie Rajan has authored 2 papers receiving a total of 2 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Radiology, Nuclear Medicine and Imaging, 1 paper in Health Informatics and 1 paper in Epidemiology. Recurrent topics in Ronnie Rajan's work include Radiomics and Machine Learning in Medical Imaging (2 papers), COVID-19 diagnosis using AI (1 paper) and Artificial Intelligence in Healthcare and Education (1 paper). Ronnie Rajan is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (2 papers), COVID-19 diagnosis using AI (1 paper) and Artificial Intelligence in Healthcare and Education (1 paper). Ronnie Rajan collaborates with scholars based in United Arab Emirates. Ronnie Rajan's co-authors include Marco A. F. Pimentel, Muhammad Akhtar, Rachana Sathish, Andrew Jeremijenko and Debdoot Sheet and has published in prestigious journals such as npj Digital Medicine.

In The Last Decade

Ronnie Rajan

2 papers receiving 2 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ronnie Rajan United Arab Emirates 2 1 1 1 2 2
Rofida Elsemelawy Egypt 1 1 1.0× 2 2
Katie Drury United Kingdom 1 1 1.0× 2 2
Mouaqit Ouadii Morocco 1 2 2
Kanchan Koirala Australia 2 3 2
C. Madrid United States 2 4 2
Fırat Koç Türkiye 2 6 2
Lylas Aljohmani Ireland 2 1 1.0× 3 3
A. Basnet Nepal 2 3 2
Tal Anjum United Kingdom 2 3 2

Countries citing papers authored by Ronnie Rajan

Since Specialization
Citations

This map shows the geographic impact of Ronnie Rajan'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 Ronnie Rajan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ronnie Rajan more than expected).

Fields of papers citing papers by Ronnie Rajan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ronnie Rajan. 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 Ronnie Rajan. The network helps show where Ronnie Rajan may publish in the future.

Co-authorship network of co-authors of Ronnie Rajan

This figure shows the co-authorship network connecting the top 25 collaborators of Ronnie Rajan. A scholar is included among the top collaborators of Ronnie Rajan 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 Ronnie Rajan. Ronnie Rajan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

2 of 2 papers shown
1.
Rajan, Ronnie, et al.. (2025). Population-scale cross-sectional observational study for AI-powered TB screening on one million CXRs. npj Digital Medicine. 8(1). 418–418. 1 indexed citations
2.
Rajan, Ronnie, Rachana Sathish, & Debdoot Sheet. (2019). Significance of Residual Learning and Boundary Weighted Loss in Ischaemic Stroke Lesion Segmentation. 1 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.

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