Prashanth Chandran

481 citations
28 papers · 287 · h-index 10

Impact in

Papers in

Prashanth Chandran

25 papers receiving 272 citations

Peers

Prashanth Chandran
Comparison fields: 5 of 59
  • Computer Graphics and Computer-Aided Design 48
  • Computer Vision and Pattern Recognition 207
  • Computational Mechanics 86
  • Signal Processing 39
  • Human-Computer Interaction 13
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Stylianos Ploumpis United Kingdom
Sicheng Xu China
HsiangTao Wu China
Yuying Ge China
Haiwen Feng Germany
Ryosuke Ichikari Japan
Yuval Nirkin Israel
Diogo C. Garcia Brazil
Nikolaos Sarafianos United States
Andrew Owens United States
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Citations per field
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Citations per year

Countries citing papers authored by Prashanth Chandran

Since Specialization
Citations

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

Fields of papers citing papers by Prashanth Chandran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Prashanth Chandran, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Prashanth Chandran Line = papers co-authored together Prashanth Chandran links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202046
2 202137
3 202235
4 202024
5 202217
6 202117
7 201814
8 200911
9 202310
10 200910
11 20228
12 20228
13 20227
14 20227
15 20237
16 20145
17 20224
18 20244
19 20233
20 20243

About Prashanth Chandran

Prashanth Chandran is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Computer Graphics and Computer-Aided Design, Control and Systems Engineering and Electrical and Electronic Engineering, having authored 28 papers that have together received 287 indexed citations. Recurring topics across this work include Face recognition and analysis (14 papers), 3D Shape Modeling and Analysis (12 papers), Generative Adversarial Networks and Image Synthesis (10 papers), Computer Graphics and Visualization Techniques (6 papers), Advanced Vision and Imaging (4 papers), Advanced Wireless Communication Techniques (4 papers), Human Motion and Animation (4 papers) and Optical Network Technologies (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (48 citations), Computer Vision and Pattern Recognition (207 citations), Computational Mechanics (86 citations), Signal Processing (39 citations) and Human-Computer Interaction (13 citations). Prashanth Chandran has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Derek Bradley, Markus Groß, Paulo Gotardo, Thabo Beeler, Erik Perrins, Jindal K. Shah, Daoye Wang, Eftychios Sifakis, Jérémy Rivière and Jean-Paul Moulin. Their work appears in journals such as Computer Graphics Forum, ACM Transactions on Graphics, IEEE Transactions on Communications, Fluid Phase Equilibria and Computers & Graphics.

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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