Prashanth Chandran

509 citations
31 papers · 352 · h-index 10

Impact in

Papers in

Prashanth Chandran

28 papers receiving 338 citations

Peers

Prashanth Chandran
Comparison fields: 5 of 64
  • Computer Graphics and Computer-Aided Design 58
  • Computer Vision and Pattern Recognition 263
  • Computational Mechanics 109
  • Signal Processing 49
  • Human-Computer Interaction 13
Replace Diogo Caetano Garcia with:
Diogo Caetano Garcia Brazil
Yuval Nirkin Israel
Zhewei Huang China
WonSook Lee Canada
Douglas A. Fidaleo United States
Weihao Xia China
Jun Xiang China
Michel Sarkis Germany
Xuefei Zhe China
Prashanth Chandran relative to Diogo Caetano Garcia Brazil Diogo Caetano Garcia's profile →
Citations per field
00.5×2×3×4×4.7×
Diogo Caetano Garcia · 1×
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 18 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 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202055
2 202145
3 202245
4 202029
5 202219
6 202317
7 202117
8 201814
9 200911
10 202211
11 200910
12 202210
13 20229
14 20228
15 20237
16 20236
17 20245
18 20245
19 20144
20 20224

About Prashanth Chandran

Prashanth Chandran is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Computer Graphics and Computer-Aided Design, Signal Processing and Control and Systems Engineering, having authored 31 papers that have together received 352 indexed citations. Recurring topics across this work include Face recognition and analysis (16 papers), 3D Shape Modeling and Analysis (13 papers), Generative Adversarial Networks and Image Synthesis (11 papers), Computer Graphics and Visualization Techniques (6 papers), Advanced Wireless Communication Techniques (5 papers), Human Motion and Animation (4 papers), Advanced Vision and Imaging (4 papers) and Optical Network Technologies (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (58 citations), Computer Vision and Pattern Recognition (263 citations), Computational Mechanics (109 citations), Signal Processing (49 citations) and Human-Computer Interaction (13 citations). Prashanth Chandran has collaborated with scholars based in United States, Switzerland and India. Frequent co-authors include Derek Bradley, Markus H. Groß, Gaspard Zoss, Paulo F. U. Gotardo, Thabo Beeler, Erik S. Perrins, Daoye Wang, Jindal K. Shah, Eftychios Sifakis and Jérémy Rivière. Their work appears in journals such as Computer Graphics Forum, ACM Transactions on Graphics, Computers & Graphics, Fluid Phase Equilibria and IEEE Transactions on Communications.

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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