Avinash Sharma

925 citations
60 papers · 395 · h-index 11

Impact in

Papers in

Avinash Sharma

47 papers receiving 378 citations

Peers

Avinash Sharma
Comparison fields: 5 of 69
  • Computer Graphics and Computer-Aided Design 52
  • Computer Vision and Pattern Recognition 213
  • Acoustics and Ultrasonics 8
  • Instrumentation 20
  • Media Technology 49
Replace Chong Mou with:
Chong Mou China
Robert Bregović Finland
Zirui Wang China
Tim Brooks United States
Jiemin Fang China
Cengiz Öztireli Switzerland
T.E. Boult United States
Chengying Gao China
Chaojian Li United States
Luca Cosmo Italy
Avinash Sharma relative to Chong Mou China Chong Mou's profile →
Citations per field
00.5×10×14×
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Citations per year

Countries citing papers authored by Avinash Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Avinash Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Avinash Sharma, 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 Avinash Sharma Line = papers co-authored together Avinash Sharma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202172
2 201139
3 202033
4
SHREC 2010: robust correspondence benchmark
201025
5 201019
6 201815
7 202115
8 201813
9 202212
10 202212
11 202211
12 202010
13 20219
14 20168
15 20208
16
Mesh Segmentation Using Laplacian Eigenvectors and Gaussian Mixtures
20098
17 20197
18 20187
19 20246
20 20226

About Avinash Sharma

Avinash Sharma is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Computer Networks and Communications, Artificial Intelligence and Information Systems, having authored 60 papers that have together received 395 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (15 papers), Advanced Vision and Imaging (12 papers), Human Pose and Action Recognition (7 papers), Computer Graphics and Visualization Techniques (7 papers), Image Retrieval and Classification Techniques (5 papers), Advanced Neural Network Applications (4 papers), IoT and Edge/Fog Computing (4 papers) and Advanced Neuroimaging Techniques and Applications (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (52 citations), Computer Vision and Pattern Recognition (213 citations), Acoustics and Ultrasonics (8 citations), Instrumentation (20 citations) and Media Technology (49 citations). Avinash Sharma has collaborated with scholars based in India, United States and France. Frequent co-authors include Radu Horaud, Felix Heide, Fahim Mannan, Ali Mosleh, Jan Čech, Edmond Boyer, Nicolas Robidoux, Derek Nowrouzezahrai, Jean‐François Lalonde and Karl St‐Arnaud. Their work appears in journals such as Scientific Reports, International Journal of Computer Vision, ACM Transactions on Graphics, NeuroImage and Journal of Computational and Theoretical Nanoscience.

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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