Karthik Raveendran

673 citations
6 papers · 169 indexed · h-index 4
Topics
Computer Graphics and Visualization Techniques (2 papers)3D Shape Modeling and Analysis (2 papers)Visual Attention and Saliency Detection (1 paper)
Journals
ACM Transactions on Graphics2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

In The Last Decade

Karthik Raveendran

6 papers receiving 167 citations

Peers

Karthik Raveendran
Comparison fields: 5 of 36
  • Computer Vision and Pattern Recognition 85
  • Computational Mechanics 79
  • Computer Graphics and Computer-Aided Design 71
  • Human-Computer Interaction 46
  • Control and Systems Engineering 21
Replace Knut Hartmann with:
Knut Hartmann Germany
Eduard Gabriel Băzăvan United States
Edoardo Remelli Switzerland
Marc Lapierre France
Vincent Scheib United States
Parag Chaudhuri India
Jens Fursund United States
Jen-Yuan Chiang United States
Nick Halper Germany
Sicheng Xu China
Karthik Raveendran relative to Knut Hartmann Germany Knut Hartmann's profile →
Citations per field
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Citations per year

Countries citing papers authored by Karthik Raveendran

Since Specialization
Citations

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

Fields of papers citing papers by Karthik Raveendran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karthik Raveendran

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

All Works

6 of 6 papers shown
#WorkIndexed citations
1 2
2 1
3 32
4 19
5 52
6 63

About Karthik Raveendran

Karthik Raveendran is a scholar working on Computer Graphics and Computer-Aided Design, Human-Computer Interaction and Computational Mechanics, having authored 6 papers that have together received 169 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (2 papers), 3D Shape Modeling and Analysis (2 papers) and Visual Attention and Saliency Detection (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (71 citations), Human-Computer Interaction (46 citations) and Computer Vision and Pattern Recognition (85 citations). Karthik Raveendran has collaborated with scholars based in United States, Austria and India. Frequent co-authors include Greg Turk, Chris Wojtan, Nils Thuerey, Yan Xu, Blair MacIntyre, Irfan Essa and A. Christy. Their work appears in journals such as ACM Transactions on Graphics and 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

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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