Charu Sharma
- Artificial Intelligence top 5%
- Management Science and Operations Research top 10%
- Computer Vision and Pattern Recognition
- Statistical and Nonlinear Physics top 10%
- Information Systems
- Co-authors
- Manohar KaulJatin ChauhanDeepak NathaniSyed AzeemuddinPonnurangam KumaraguruV S S V PrasadNidhi GoyalRaghava Mutharaju
- Topics
- 3D Shape Modeling and Analysis (4 papers)3D Surveying and Cultural Heritage (3 papers)Topic Modeling (2 papers)
- Cited by
- Artificial IntelligenceManagement Science and Operations ResearchStatistical and Nonlinear Physics
- Partner nations
- IndiaAustraliaUnited States
In The Last Decade
Charu Sharma
6 papers receiving 358 citations
Hit Papers
Peers
Comparison fields: 5 of 46
- Artificial Intelligence 328
- Management Science and Operations Research 67
- Computer Vision and Pattern Recognition 54
- Statistical and Nonlinear Physics 50
- Information Systems 40
Countries citing papers authored by Charu Sharma
This map shows the geographic impact of Charu 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 Charu Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charu Sharma more than expected).
Fields of papers citing papers by Charu Sharma
This network shows the impact of papers produced by Charu 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 Charu Sharma. The network helps show where Charu Sharma may publish in the future.
Co-authorship network of co-authors of Charu Sharma
This figure shows the co-authorship network connecting the top 25 collaborators of Charu Sharma. A scholar is included among the top collaborators of Charu Sharma 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 Charu Sharma. Charu Sharma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 5 | |
| 8 | Self-Supervised Few-Shot Learning on Point Clouds | 1 |
| 9 | Learning Attention-based Embeddings for Relation Prediction in
\nKnowledge Graphsbreakdown → | 351 |
About Charu Sharma
Charu Sharma is a scholar working on Geology, Computational Mechanics and Computer Vision and Pattern Recognition, having authored 9 papers that have together received 369 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (4 papers), 3D Surveying and Cultural Heritage (3 papers) and Topic Modeling (2 papers). The work is most often cited by research in Artificial Intelligence (328 citations), Management Science and Operations Research (67 citations) and Statistical and Nonlinear Physics (50 citations). Charu Sharma has collaborated with scholars based in India, Australia and United States. Frequent co-authors include Manohar Kaul, Jatin Chauhan, Deepak Nathani, Syed Azeemuddin, Ponnurangam Kumaraguru, V S S V Prasad, Nidhi Goyal, Raghava Mutharaju, Suman Rawat and Sarath Kodagoda. Their work appears in journals such as IEEE Access, Sensors and IEEE Sensors Letters.
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.