G. Arumaikkannu
- Automotive Engineering top 5%
- Mechanical Engineering top 10%
- Biomedical Engineering
- Industrial and Manufacturing Engineering top 5%
- Building and Construction top 10%
- Co-authors
- M. SugavaneswaranRamanathan SubramanianK. Mohana SundaramMd. Shahid AlamBipasha MukherjeeK. RavikumarS. Rashia BegumBalakumar Chandrasekaran
- Topics
- Additive Manufacturing and 3D Printing Technologies (31 papers)Manufacturing Process and Optimization (13 papers)Bone Tissue Engineering Materials (12 papers)
- Partner nations
- IndiaUnited StatesGermany
In The Last Decade
G. Arumaikkannu
44 papers receiving 439 citations
Peers
Comparison fields: 5 of 64
- Automotive Engineering 254
- Mechanical Engineering 242
- Biomedical Engineering 138
- Industrial and Manufacturing Engineering 93
- Building and Construction 62
Countries citing papers authored by G. Arumaikkannu
This map shows the geographic impact of G. Arumaikkannu'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 G. Arumaikkannu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Arumaikkannu more than expected).
Fields of papers citing papers by G. Arumaikkannu
This network shows the impact of papers produced by G. Arumaikkannu. 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 G. Arumaikkannu. The network helps show where G. Arumaikkannu may publish in the future.
Co-authorship network of co-authors of G. Arumaikkannu
This figure shows the co-authorship network connecting the top 25 collaborators of G. Arumaikkannu. A scholar is included among the top collaborators of G. Arumaikkannu 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 G. Arumaikkannu. G. Arumaikkannu 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 | 1 | |
| 3 | 7 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 12 | |
| 7 | 1 | |
| 8 | 10 | |
| 9 | 2 | |
| 10 | 3 | |
| 11 | 12 | |
| 12 | 1 | |
| 13 | 50 | |
| 14 | Finite Element Analysis in Additive Manufactured Customised Bone Scaffold | 2 |
| 15 | Influence of Hydroxyapatite coated Additive Manufactured polyamide substrate on Biocompatibility. | 3 |
| 16 | 3 | |
| 17 | Design for Customized AdditiveManufactured Exoskeleton Using Bio CADModeling | 1 |
| 18 | 5 | |
| 19 | 33 | |
| 20 | 4 |
About G. Arumaikkannu
G. Arumaikkannu is a scholar working on Automotive Engineering, Industrial and Manufacturing Engineering and Orthodontics, having authored 46 papers that have together received 462 indexed citations. Recurring topics across this work include Additive Manufacturing and 3D Printing Technologies (31 papers), Manufacturing Process and Optimization (13 papers) and Bone Tissue Engineering Materials (12 papers). The work is most often cited by research in Automotive Engineering (254 citations), Industrial and Manufacturing Engineering (93 citations) and Mechanical Engineering (242 citations). G. Arumaikkannu has collaborated with scholars based in India, United States and Germany. Frequent co-authors include M. Sugavaneswaran, Ramanathan Subramanian, K. Mohana Sundaram, Md. Shahid Alam, Bipasha Mukherjee, K. Ravikumar, S. Rashia Begum, Balakumar Chandrasekaran, A. Suresh Babu and R. Narayanan. Their work appears in journals such as Materials Chemistry and Physics, Rapid Prototyping Journal and Journal of Manufacturing Processes.
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.