Ravi Aggarwal

31 total papers · 1.9k total citations
12 papers, 747 citations indexed

About

Ravi Aggarwal is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Health Informatics. According to data from OpenAlex, Ravi Aggarwal has authored 12 papers receiving a total of 747 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Surgery, 4 papers in Cardiology and Cardiovascular Medicine and 3 papers in Health Informatics. Recurrent topics in Ravi Aggarwal's work include Artificial Intelligence in Healthcare and Education (3 papers), Cardiac, Anesthesia and Surgical Outcomes (2 papers) and Cardiovascular Disease and Adiposity (2 papers). Ravi Aggarwal is often cited by papers focused on Artificial Intelligence in Healthcare and Education (3 papers), Cardiac, Anesthesia and Surgical Outcomes (2 papers) and Cardiovascular Disease and Adiposity (2 papers). Ravi Aggarwal collaborates with scholars based in United Kingdom, Singapore and Denmark. Ravi Aggarwal's co-authors include Ara Darzi, Hutan Ashrafian, Guy Martin, Viknesh Sounderajah, Daniel Shu Wei Ting, Alan Karthikesalingam, Dominic King, Thanos Athanasiou, Evangelos Efthimiou and Leanne Harling and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Obesity and Journal of Medical Internet Research.

In The Last Decade

Ravi Aggarwal

12 papers receiving 729 citations

Hit Papers

Diagnostic accuracy of de... 2021 2026 2022 2024 2021 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ravi Aggarwal 271 200 171 167 129 12 747
Rohit Ghosh 282 1.0× 215 1.1× 154 0.9× 94 0.6× 129 1.0× 7 875
Raffaele Rasoini 161 0.6× 221 1.1× 246 1.4× 56 0.3× 98 0.8× 8 710
Elizabeth Le 479 1.8× 183 0.9× 86 0.5× 118 0.7× 146 1.1× 24 820
Prashant Warier 288 1.1× 215 1.1× 156 0.9× 96 0.6× 129 1.0× 5 836
D. Douglas Miller 273 1.0× 203 1.0× 312 1.8× 53 0.3× 71 0.6× 23 823
Quinlan D. Buchlak 264 1.0× 121 0.6× 176 1.0× 316 1.9× 69 0.5× 31 883
Ronit Brodie 158 0.6× 109 0.5× 190 1.1× 152 0.9× 28 0.2× 21 659
Jessica Torres Soto 231 0.9× 173 0.9× 206 1.2× 76 0.5× 359 2.8× 7 823
Ilse Kant 147 0.5× 160 0.8× 185 1.1× 45 0.3× 72 0.6× 32 784
Christopher A. Lovejoy 301 1.1× 238 1.2× 325 1.9× 46 0.3× 39 0.3× 14 830

Countries citing papers authored by Ravi Aggarwal

Since Specialization
Citations

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

Fields of papers citing papers by Ravi Aggarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ravi Aggarwal

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

All Works

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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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