Arvind Rajasekaran

1.6k total citations
6 papers, 55 citations indexed

About

Arvind Rajasekaran is a scholar working on Pulmonary and Respiratory Medicine, Health Informatics and Epidemiology. According to data from OpenAlex, Arvind Rajasekaran has authored 6 papers receiving a total of 55 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pulmonary and Respiratory Medicine, 2 papers in Health Informatics and 2 papers in Epidemiology. Recurrent topics in Arvind Rajasekaran's work include Artificial Intelligence in Healthcare and Education (2 papers), COVID-19 diagnosis using AI (2 papers) and Skin Diseases and Diabetes (1 paper). Arvind Rajasekaran is often cited by papers focused on Artificial Intelligence in Healthcare and Education (2 papers), COVID-19 diagnosis using AI (2 papers) and Skin Diseases and Diabetes (1 paper). Arvind Rajasekaran collaborates with scholars based in United Kingdom and United Arab Emirates. Arvind Rajasekaran's co-authors include Clive Kelly, V. Saravanan, Shereen Fouad, Daniel Lasserson, Lloyd J. Edwards, Sarbjit Clare, Thomas G. Knight, Sofia Tosounidou, Catherine McGrath and John Morlese and has published in prestigious journals such as PLoS ONE, Rheumatology Advances in Practice and Acute Medicine Journal.

In The Last Decade

Arvind Rajasekaran

4 papers receiving 53 citations

Peers

Arvind Rajasekaran

PRM

PHYSI

PFM

EPIDE

RHEUM

Patricia Peñacoba Spain

María Luisa Velloso-Feijoó Spain

Elena K. Joerns United States

Liam Galvin United Kingdom

Silke Tello Germany

Maria Marroquin United States

Javier Castell Spain

Michael Hibbert Australia

Harvey Jenner United Kingdom

R. Guermaz Algeria

Patricia Peñacoba Spain

Arvind Rajasekaran

28 ×0.7

PRM

22 ×1.0

PHYSI

11 ×0.7

PFM

12 ×0.9

EPIDE

19 ×1.4

RHEUM

Citations per year, relative to Arvind Rajasekaran Arvind Rajasekaran (= 1×) peers Patricia Peñacoba

Countries citing papers authored by Arvind Rajasekaran

Since Specialization

Citations

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

Fields of papers citing papers by Arvind Rajasekaran

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arvind Rajasekaran

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

All Works

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6 of 6 papers shown

1.

Rajasekaran, Arvind, et al.. (2025). Explained Deep Learning Framework for COVID-19 Detection in Volumetric CT Images Aligned with the British Society of Thoracic Imaging Reporting Guidance: A Pilot Study. Journal of Imaging Informatics in Medicine. 38(6). 3634–3651.

2.

Fouad, Shereen, et al.. (2024). CHERIE: User-Centred Development of an XAI System for Chest Radiology through Co-Design. Electronic workshops in computing. 1 indexed citations

3.

Fouad, Shereen, et al.. (2024). Evaluating Explainable Artificial Intelligence (XAI) techniques in chest radiology imaging through a human-centered Lens. PLoS ONE. 19(10). e0308758–e0308758. 9 indexed citations

4.

Knight, Thomas G., Lloyd J. Edwards, Arvind Rajasekaran, Sarbjit Clare, & Daniel Lasserson. (2020). Point-of-care lung ultrasound in the assessment of suspected COVID-19: a retrospective service evaluation with a severity score. Acute Medicine Journal. 19(4). 192–200. 4 indexed citations

5.

Tosounidou, Sofia, et al.. (2019). 2. Two cases of anti-MDA5 positive dermatomyositis with rapidly progressive interstitial lung disease. Rheumatology Advances in Practice. 3(Supplement_1).

6.

Rajasekaran, Arvind, et al.. (2006). Interstitial lung disease in patients with rheumatoid arthritis: comparison with cryptogenic fibrosing alveolitis over 5 years.. PubMed. 33(7). 1250–3. 41 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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