N. Deshpande
Civil and Structural Engineering · 2014–2016
A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Civil and Structural Engineering — 30 citations into it; #3,342 of 6,160 by trust here, #2,794 by citations
- Building and Construction — 28 citations into it; #1,346 of 2,909 by trust here, #1,194 by citations
Whom N. Deshpande trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- M. Rao
- Zongjin Li
- S. Bhattacharyya
- L. Evangelista
- A. Ajdukiewicz
- P. Pereira
- Sudhirkumar V. Barai
- Chi-Sun Poon
- Muhammad Fauzi Mohd. Zain
Who trusts N. Deshpande overall
Papers from N. Deshpande's perspective
Ordered by how strongly the researchers N. Deshpande trusts endorse each paper. Same corpus, a different order for every researcher.
- Influence of recycled aggregates on mechanical properties of HS/HPC
- Durability performance of concrete made with fine recycled concrete aggregates
- An experimental study on the effect of recycled aggregate on concrete properties
- Influence of moisture states of natural and recycled aggregates on the slump and compressive strength of concrete
- A unified framework for stochastic predictions of mechanical properties of polymeric nanocomposites
- Multiple regression model for compressive strength prediction of high performance concrete
- Influence of field recycled coarse aggregate on properties of concrete
- NEURAL NETWORKS FOR PREDICTING PROPERTIES OF CONCRETES WITH ADMIXTURES
- Properties of HPC with recycled aggregates
- The effect of superplasticizers on the mechanical performance of concrete made with fine recycled concrete aggregates
Their papers
- Predicting strength of recycled aggregate concrete using Artificial Neural Network, Adaptive Neuro-Fuzzy Inference System and Multiple Linear Regression (2016) — 318 citations
- Modeling compressive strength of recycled aggregate concrete by Artificial Neural Network, Model Tree and Non-linear Regression (2014) — 213 citations