Prasanth B. Nair

4.7k citations
112 papers · 3.4k indexed · h-index 29

Impact in

Papers in

Prasanth B. Nair

105 papers receiving 3.3k citations

Peers

Prasanth B. Nair
Comparison fields: 5 of 134
  • Statistics, Probability and Uncertainty 897
  • Computational Theory and Mathematics 1.3k
  • Statistical and Nonlinear Physics 377
  • Artificial Intelligence 862
  • Civil and Structural Engineering 534
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Citations per year

Countries citing papers authored by Prasanth B. Nair

Since Specialization
Citations

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

Fields of papers citing papers by Prasanth B. Nair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Prasanth B. Nair. 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 Prasanth B. Nair. The network helps show where Prasanth B. Nair may publish in the future.

Co-authors

The 25 scholars most cited alongside Prasanth B. Nair, 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 Prasanth B. Nair Line = papers co-authored together Prasanth B. Nair links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20235
2 202327
3 20170
4 20142
5 201231
6 20115
7
Rapid analysis of implant positioning effects in cementless total hip replacements
20103
8 20092
9 200981
10 200719
11
A parametric study of the hemodynamic behavior in a one dimensional systemic elastic artery: Application to stent design
20052
12
Meshless solution of the Burgers equation
20051
13
Multi-objective shape optimization of the human carotid artery
20051
14 20050
15
Computational Approaches for Aerospace Design: The Pursuit of Excellence
2005194
16 200351
17
A data parallel approach for large-scale Gaussian process modelling
200222
18 200221
19
Some Greedy Algorithms for Sparse Nonlinear Regression
20014
20
Metamodeling techniques for evolutionary optimization of computationally expensive problems: promises and limitations
199987

About Prasanth B. Nair

Prasanth B. Nair is a scholar working on Statistics, Probability and Uncertainty, Computational Theory and Mathematics, Statistical and Nonlinear Physics, Civil and Structural Engineering and Computational Mechanics, having authored 112 papers that have together received 3.4k indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (43 papers), Advanced Multi-Objective Optimization Algorithms (30 papers), Model Reduction and Neural Networks (14 papers), Structural Health Monitoring Techniques (12 papers), Orthopaedic implants and arthroplasty (11 papers), Numerical methods in engineering (10 papers), Topology Optimization in Engineering (9 papers) and Wind and Air Flow Studies (9 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (897 citations), Computational Theory and Mathematics (1.3k citations), Statistical and Nonlinear Physics (377 citations), Artificial Intelligence (862 citations) and Civil and Structural Engineering (534 citations). Prasanth B. Nair has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Andy J. Keane, Yew-Soon Ong, Kai‐Yew Lum, Mark Taylor, Christophe Audouze, Florian De Vuyst, K. Djidjeli, Phani Chinchapatnam, Francis Galloway and Shahrokh Shahpar. Their work appears in journals such as AIAA Journal, Journal of Biomechanics, Computer Methods in Applied Mechanics and Engineering, International Journal for Numerical Methods in Engineering and International Journal for Uncertainty Quantification.

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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