Shashank Sharma
- Mechanical Engineering top 2%
- Automotive Engineering top 2%
- Materials Chemistry
- Biomedical Engineering
- Computational Mechanics top 5%
- Co-authors
- Narendra B. DahotreSameehan S. JoshiMangesh V. PantawaneRajarshi BanerjeeJ. RamkumarS. Anantha RamakrishnaVijay MandalM. Radhakrishnan
- Topics
- Additive Manufacturing Materials and Processes (41 papers)High Entropy Alloys Studies (16 papers)Additive Manufacturing and 3D Printing Technologies (15 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaAdvanced Functional Materials
- Partner nations
- United StatesIndiaItaly
In The Last Decade
Shashank Sharma
86 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 86
- Mechanical Engineering 1.0k
- Automotive Engineering 358
- Materials Chemistry 242
- Biomedical Engineering 189
- Computational Mechanics 156
Countries citing papers authored by Shashank Sharma
This map shows the geographic impact of Shashank 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 Shashank Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shashank Sharma more than expected).
Fields of papers citing papers by Shashank Sharma
This network shows the impact of papers produced by Shashank 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 Shashank Sharma. The network helps show where Shashank Sharma may publish in the future.
Co-authorship network of co-authors of Shashank Sharma
This figure shows the co-authorship network connecting the top 25 collaborators of Shashank Sharma. A scholar is included among the top collaborators of Shashank 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 Shashank Sharma. Shashank 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 | 6 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 7 | |
| 8 | 5 | |
| 9 | 5 | |
| 10 | 3 | |
| 11 | 2 | |
| 12 | 8 | |
| 13 | 25 | |
| 14 | 13 | |
| 15 | 0 | |
| 16 | 18 | |
| 17 | 43 | |
| 18 | 38 | |
| 19 | Industrial implementation of a multi-task redundancy resolution at velocity level for highly redundant mobile manipulators | 16 |
| 20 | Unified Closed Form Inverse Kinematics for the KUKA youBot | 19 |
About Shashank Sharma
Shashank Sharma is a scholar working on Mechanical Engineering, Automotive Engineering and Industrial and Manufacturing Engineering, having authored 94 papers that have together received 1.4k indexed citations. Recurring topics across this work include Additive Manufacturing Materials and Processes (41 papers), High Entropy Alloys Studies (16 papers) and Additive Manufacturing and 3D Printing Technologies (15 papers). The work is most often cited by research in Automotive Engineering (358 citations), Mechanical Engineering (1.0k citations) and Industrial and Manufacturing Engineering (92 citations). Shashank Sharma has collaborated with scholars based in United States, India and Italy. Frequent co-authors include Narendra B. Dahotre, Sameehan S. Joshi, Mangesh V. Pantawane, Rajarshi Banerjee, J. Ramkumar, S. Anantha Ramakrishna, Vijay Mandal, M. Radhakrishnan, Sangram Mazumder and Abhishek Sharma. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Advanced Functional Materials.
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.