Gaurav Nilakantan

1.6k citations
33 papers · 1.3k indexed · h-index 21

Gaurav Nilakantan

33 papers receiving 1.3k citations

Peers

Gaurav Nilakantan
Comparison fields: 5 of 67
  • Polymers and Plastics 765
  • Mechanics of Materials 1.1k
  • Civil and Structural Engineering 420
  • Materials Chemistry 560
  • Mechanical Engineering 349
Replace Aswani Kumar Bandaru with:
Aswani Kumar Bandaru Ireland
Rizal Zahari Malaysia
Ahmet Akdemir Türkiye
P.‐Y. Ben Jar Canada
Selvum Pillay United States
C. Cherif Germany
Diantang Zhang China
S. Sánchez-Sáez Spain
Lotfi Toubal Canada
Ahmet Erkliğ Türkiye
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Citations per field
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Citations per year

Countries citing papers authored by Gaurav Nilakantan

Since Specialization
Citations

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

Fields of papers citing papers by Gaurav Nilakantan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 14 scholars most cited alongside Gaurav Nilakantan, 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 Gaurav Nilakantan Line = papers co-authored together Gaurav Nilakantan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201811
2 201831
3 201844
4 201728
5 20171
6 201610
7 201492
8 201367
9 201337
10 201295
11 201248
12 201143
13 201128
14 201097
15
Modeling the impact of flexible textile composites through multiscale and probabilistic methods
20103
16 201042
17 200919
18 200957
19
Simulating the Impact of Multi-layer Fabric Targets using a Multi-scale Model and the Finite Element Method
20083
20
Design and Development of an Energy Absorbing Seat and Ballistic Fabric Material Model to Reduce Crew Injury Caused by Acceleration From Mine/IED Blast
20064

About Gaurav Nilakantan

Gaurav Nilakantan is a scholar working on Polymers and Plastics, Mechanics of Materials and Civil and Structural Engineering, having authored 33 papers that have together received 1.3k indexed citations. Recurring topics across this work include Mechanical Behavior of Composites (26 papers), Textile materials and evaluations (24 papers), High-Velocity Impact and Material Behavior (13 papers), Structural Analysis and Optimization (7 papers), Fiber-reinforced polymer composites (4 papers), Structural Response to Dynamic Loads (4 papers), Automotive and Human Injury Biomechanics (3 papers) and Additive Manufacturing and 3D Printing Technologies (3 papers). The work is most often cited by research in Polymers and Plastics (765 citations), Mechanics of Materials (1.1k citations) and Civil and Structural Engineering (420 citations). Gaurav Nilakantan has collaborated with scholars based in United States. Frequent co-authors include John W. Gillespie, Ala Tabiei, Steven Nutt, Michael Keefe, Travis A. Bogetti, Eric D. Wetzel, Subramani Sockalingam, Brian M. Powers, James Q. Zheng and Virginia Halls. Their work appears in journals such as Composite Structures, Journal of Composite Materials, Defence Technology, International Journal of Impact Engineering and International Journal of Solids and Structures.

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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