Nidhin Divakaran

39 total papers · 803 total citations
23 papers, 619 citations indexed

About

Nidhin Divakaran is a scholar working on Automotive Engineering, Biomedical Engineering and Polymers and Plastics. According to data from OpenAlex, Nidhin Divakaran has authored 23 papers receiving a total of 619 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Automotive Engineering, 11 papers in Biomedical Engineering and 9 papers in Polymers and Plastics. Recurrent topics in Nidhin Divakaran's work include Additive Manufacturing and 3D Printing Technologies (10 papers), Advanced Sensor and Energy Harvesting Materials (9 papers) and Conducting polymers and applications (5 papers). Nidhin Divakaran is often cited by papers focused on Additive Manufacturing and 3D Printing Technologies (10 papers), Advanced Sensor and Energy Harvesting Materials (9 papers) and Conducting polymers and applications (5 papers). Nidhin Divakaran collaborates with scholars based in India, China and Saudi Arabia. Nidhin Divakaran's co-authors include Suhail Mubarak, Duraisami Dhamodharan, Lixin Wu, Manoj B. Kale, Jianlei Wang, Smita Mohanty, T. Senthil, Xu Zhang, Ananthakumar Ramadoss and Sanjay K. Nayak and has published in prestigious journals such as Polymer, Composites Science and Technology and Applied Surface Science.

In The Last Decade

Nidhin Divakaran

22 papers receiving 610 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Nidhin Divakaran 249 225 203 178 115 23 619
Wencai Dong 216 0.9× 118 0.5× 265 1.3× 285 1.6× 229 2.0× 24 674
Baohui Shi 144 0.6× 152 0.7× 168 0.8× 81 0.5× 205 1.8× 26 639
K. Prem Ananth 350 1.4× 186 0.8× 72 0.4× 174 1.0× 179 1.6× 24 658
Xiaoteng Chen 316 1.3× 309 1.4× 79 0.4× 119 0.7× 178 1.5× 14 625
Zexu Hu 260 1.0× 71 0.3× 171 0.8× 127 0.7× 116 1.0× 38 638
Ji Sun Yun 313 1.3× 247 1.1× 55 0.3× 224 1.3× 152 1.3× 47 677
Marysilvia Ferreira da Costa 219 0.9× 110 0.5× 191 0.9× 84 0.5× 121 1.1× 41 682
Hui Kim Hui 227 0.9× 192 0.9× 68 0.3× 120 0.7× 79 0.7× 23 549
Lan Luo 312 1.3× 157 0.7× 312 1.5× 128 0.7× 273 2.4× 20 674
Weihong Chai 285 1.1× 129 0.6× 270 1.3× 121 0.7× 55 0.5× 28 667

Countries citing papers authored by Nidhin Divakaran

Since Specialization
Citations

This map shows the geographic impact of Nidhin Divakaran'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 Nidhin Divakaran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nidhin Divakaran more than expected).

Fields of papers citing papers by Nidhin Divakaran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nidhin Divakaran. 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 Nidhin Divakaran. The network helps show where Nidhin Divakaran may publish in the future.

Co-authorship network of co-authors of Nidhin Divakaran

This figure shows the co-authorship network connecting the top 25 collaborators of Nidhin Divakaran. A scholar is included among the top collaborators of Nidhin Divakaran 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 Nidhin Divakaran. Nidhin Divakaran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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.

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