Sanjay K. Nayak

18.4k citations
387 papers · 14.4k indexed · 5 hit papers · h-index 59

Sanjay K. Nayak

380 papers receiving 13.9k citations

Hit Papers

A review on inkjet printi...3652003202620102018250500750

Peers

Sanjay K. Nayak
Comparison fields: 5 of 163
  • Polymers and Plastics 8.7k
  • Biomaterials 3.3k
  • Process Chemistry and Technology 313
  • Mechanical Engineering 3.3k
  • Mechanics of Materials 2.1k
Replace Smita Mohanty with:
Smita Mohanty India
Denis Rodrigue Canada
Robert K.Y. Li Hong Kong
Yan Li China
Mohammad Reza Saeb Iran
Alessandro Pegoretti Italy
Béla Pukánszky Hungary
Anil K. Bhowmick India
Volker Altstädt Germany
Mohini Sain Canada
Sanjay K. Nayak relative to Smita Mohanty India Smita Mohanty's profile →
Citations per field
00.5×1.5×
Smita Mohanty · 1×
Citations per year

Countries citing papers authored by Sanjay K. Nayak

Since Specialization
Citations

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

Fields of papers citing papers by Sanjay K. Nayak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sanjay K. Nayak. 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 Sanjay K. Nayak. The network helps show where Sanjay K. Nayak may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Sanjay K. Nayak, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sanjay K. Nayak Line = papers co-authored together Sanjay K. Nayak links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 202510
4 20253
5 20240
6 202312
7 202320
8 202339
9 20225
10 20219
11 20211
12 20211
13 202024
14 202021
15 202031
16 201780
17 201733
18 2017101
19 2014177
20 200928

About Sanjay K. Nayak

Sanjay K. Nayak is a scholar working on Polymers and Plastics, Biomaterials and Mechanics of Materials, having authored 387 papers that have together received 14.4k indexed citations. Recurring topics across this work include Polymer Nanocomposites and Properties (121 papers), Natural Fiber Reinforced Composites (90 papers), Polymer composites and self-healing (70 papers), Tribology and Wear Analysis (51 papers), Polymer crystallization and properties (51 papers), biodegradable polymer synthesis and properties (47 papers), Epoxy Resin Curing Processes (36 papers) and Conducting polymers and applications (31 papers). The work is most often cited by research in Polymers and Plastics (8.7k citations), Biomaterials (3.3k citations) and Process Chemistry and Technology (313 citations). Sanjay K. Nayak has collaborated with scholars based in India, Canada and United States. Frequent co-authors include Smita Mohanty, Sushanta K. Samal, Gurunathan Thangavel, S. S. Tripathy, Lakshmi Unnikrishnan, Sudheer Kumar, Manjusri Misra, Amar K. Mohanty, Ananthakumar Ramadoss and Bishnu P. Panda. Their work appears in journals such as Journal of Applied Polymer Science, Polymer Composites, Polymer-Plastics Technology and Engineering, Polymers for Advanced Technologies and Journal of Macromolecular Science Part A.

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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