G. N. Dayananda
- Materials Chemistry
- Mechanical Engineering
- Polymers and Plastics
- Biomedical Engineering
- Civil and Structural Engineering
- Co-authors
- Petr ŠittnerK.K. MaheshV. NovákFrancisco Manuel Braz FernandesR. StalmansDavid VokounA. RevathiP. Senthilkumar
- Topics
- Shape Memory Alloy Transformations (11 papers)Polymer composites and self-healing (6 papers)Silicone and Siloxane Chemistry (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaMaterials Science and Engineering AJournal of materials research/Pratt's guide to venture capital sources
In The Last Decade
G. N. Dayananda
19 papers receiving 404 citations
Peers
Comparison fields: 5 of 53
- Materials Chemistry 297
- Mechanical Engineering 106
- Polymers and Plastics 88
- Biomedical Engineering 63
- Civil and Structural Engineering 49
Countries citing papers authored by G. N. Dayananda
This map shows the geographic impact of G. N. Dayananda'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. N. Dayananda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. N. Dayananda more than expected).
Fields of papers citing papers by G. N. Dayananda
This network shows the impact of papers produced by G. N. Dayananda. 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. N. Dayananda. The network helps show where G. N. Dayananda may publish in the future.
Co-authorship network of co-authors of G. N. Dayananda
This figure shows the co-authorship network connecting the top 25 collaborators of G. N. Dayananda. A scholar is included among the top collaborators of G. N. Dayananda 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. N. Dayananda. G. N. Dayananda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Influence of soft segments on thermo-mechanical behaviour of novel epoxy based shape memory polymers | 2 |
| 2 | 16 | |
| 3 | 2 | |
| 4 | 10 | |
| 5 | 3 | |
| 6 | 6 | |
| 7 | 5 | |
| 8 | 50 | |
| 9 | 3 | |
| 10 | 25 | |
| 11 | 7 | |
| 12 | 19 | |
| 13 | 25 | |
| 14 | 67 | |
| 15 | 95 | |
| 16 | 11 | |
| 17 | 2 | |
| 18 | 1 | |
| 19 | 67 |
About G. N. Dayananda
G. N. Dayananda is a scholar working on Polymers and Plastics, Materials Chemistry and Mechanical Engineering, having authored 19 papers that have together received 416 indexed citations. Recurring topics across this work include Shape Memory Alloy Transformations (11 papers), Polymer composites and self-healing (6 papers) and Silicone and Siloxane Chemistry (4 papers). The work is most often cited by research in Materials Chemistry (297 citations), Polymers and Plastics (88 citations) and Mechanical Engineering (106 citations). G. N. Dayananda has collaborated with scholars based in India, Czechia and Belgium. Frequent co-authors include Petr Šittner, K.K. Mahesh, V. Novák, Francisco Manuel Braz Fernandes, R. Stalmans, David Vokoun, A. Revathi, P. Senthilkumar, M. Umapathy and H. S. Lalithamba. Their work appears in journals such as SHILAP Revista de lepidopterología, Materials Science and Engineering A and Journal of materials research/Pratt's guide to venture capital sources.
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.