Ravindran Karuppiah

14 total papers · 559 total citations
11 papers, 403 citations indexed

About

Ravindran Karuppiah is a scholar working on Surgery, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Ravindran Karuppiah has authored 11 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Surgery, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Biomedical Engineering. Recurrent topics in Ravindran Karuppiah's work include Head and Neck Surgical Oncology (5 papers), Anatomy and Medical Technology (4 papers) and Surgical Simulation and Training (4 papers). Ravindran Karuppiah is often cited by papers focused on Head and Neck Surgical Oncology (5 papers), Anatomy and Medical Technology (4 papers) and Surgical Simulation and Training (4 papers). Ravindran Karuppiah collaborates with scholars based in Malaysia, United Kingdom and Germany. Ravindran Karuppiah's co-authors include Vicknes Waran, Vairavan Narayanan, Sarah L.F. Owen, Tipu Z. Aziz, Zainal Ariff Abdul Rahman, R. Raman, Hari Chandran, Peter‐John Wormald, Narayanan Prepageran and C. Andrew van Hasselt and has published in prestigious journals such as Journal of neurosurgery, Frontiers in Bioengineering and Biotechnology and European Archives of Oto-Rhino-Laryngology.

In The Last Decade

Ravindran Karuppiah

9 papers receiving 395 citations

Author Peers

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

Author Last Decade Papers Cites
Ravindran Karuppiah 307 288 63 34 32 11 403
Waleed Althobaity 223 0.7× 230 0.8× 81 1.3× 24 0.7× 9 0.3× 11 387
John Arvier 163 0.5× 197 0.7× 25 0.4× 25 0.7× 17 0.5× 12 338
Rinaldo D. Vreeken 212 0.7× 104 0.4× 23 0.4× 40 1.2× 34 1.1× 16 357
Ivan Lau 233 0.8× 298 1.0× 53 0.8× 12 0.4× 7 0.2× 10 359
Mathias Markert 240 0.8× 272 0.9× 49 0.8× 7 0.2× 6 0.2× 13 373
Lu Xu 271 0.9× 226 0.8× 179 2.8× 7 0.2× 13 0.4× 12 441
Takehiko Konno 241 0.8× 249 0.9× 95 1.5× 9 0.3× 111 3.5× 11 350
Brian Cervenka 219 0.7× 74 0.3× 10 0.2× 25 0.7× 44 1.4× 23 398
John Winder 156 0.5× 273 0.9× 28 0.4× 33 1.0× 8 0.3× 9 420
Charles V. Edmond 270 0.9× 70 0.2× 70 1.1× 44 1.3× 6 0.2× 10 334

Countries citing papers authored by Ravindran Karuppiah

Since Specialization
Citations

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

Fields of papers citing papers by Ravindran Karuppiah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ravindran Karuppiah

This figure shows the co-authorship network connecting the top 25 collaborators of Ravindran Karuppiah. A scholar is included among the top collaborators of Ravindran Karuppiah 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 Ravindran Karuppiah. Ravindran Karuppiah 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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