N. Jayanth
- Automotive Engineering top 1%
- Additive Manufacturing and 3D Printing Technologies 7
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- Manufacturing Process and Optimization 4
- Recycling and Waste Management Techniques 1
- Building and Construction top 5%
- Innovations in Concrete and Construction Materials 2
- Biomaterials top 10%
- Mechanical Engineering top 10%
- Additive Manufacturing Materials and Processes 1
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- Retinal Imaging and Analysis 1
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- Artificial Intelligence in Healthcare 1
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- Emotion and Mood Recognition 1
- Journals
- Virtual and Physical Prototyping (2 papers)Journal of the mechanical behavior of biomedical materials (1 paper)Composites Part B Engineering (1 paper)
- Partner nations
- India
In The Last Decade
N. Jayanth
8 papers receiving 665 citations
Hit Papers
Peers
Comparison fields: 5 of 55
- Automotive Engineering 595
- Industrial and Manufacturing Engineering 204
- Building and Construction 141
- Biomaterials 109
- Mechanical Engineering 257
Countries citing papers authored by N. Jayanth
This map shows the geographic impact of N. Jayanth'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 N. Jayanth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Jayanth more than expected).
Fields of papers citing papers by N. Jayanth
This network shows the impact of papers produced by N. Jayanth. 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 N. Jayanth. The network helps show where N. Jayanth may publish in the future.
Co-authorship network
The 7 scholars most cited alongside N. Jayanth, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 42 | |
| 2 | 2023 | 6 | |
| 3 | 2022 | 1 | |
| 4 | 2022 | 21 | |
| 5 | 2022 | 0 | |
| 6 | 2021 | 90 | |
| 7 | 2018 | 61 | |
| 8 | 2018 | 123 | |
| 9 | A review on composite materials and process parameters optimisation for the fused deposition modelling processbreakdown → | 2017 | 344 |
About N. Jayanth
N. Jayanth is a scholar working on Automotive Engineering, Industrial and Manufacturing Engineering, Health Information Management, Building and Construction and Industrial and Manufacturing Engineering, having authored 9 papers that have together received 688 indexed citations. Recurring topics across this work include Additive Manufacturing and 3D Printing Technologies (7 papers), Manufacturing Process and Optimization (4 papers), Innovations in Concrete and Construction Materials (2 papers), Retinal Imaging and Analysis (1 paper), Artificial Intelligence in Healthcare (1 paper), Emotion and Mood Recognition (1 paper), Additive Manufacturing Materials and Processes (1 paper) and Recycling and Waste Management Techniques (1 paper). The work is most often cited by research in Automotive Engineering (595 citations), Industrial and Manufacturing Engineering (204 citations), Building and Construction (141 citations), Biomaterials (109 citations) and Mechanical Engineering (257 citations). N. Jayanth has collaborated with scholars based in India. Frequent co-authors include P. Senthil, S. Vinodh, N. Mohan, Chander Prakash, P. Senthil, Swathi Balaji and R Subramani. Their work appears in journals such as Virtual and Physical Prototyping, Journal of the mechanical behavior of biomedical materials, Composites Part B Engineering, International Journal on Interactive Design and Manufacturing (IJIDeM) and Materials Today Proceedings.
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.