Siba Sankar Mahapatra

Industrial and Manufacturing Engineering · 2007–2015

A researcher in the Science corpus: 9 papers; trusts 7 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Subfields

• Industrial and Manufacturing Engineering — 34 citations into it; #147 of 2,521 by trust here, #96 by citations
• Mechanical Engineering — 27 citations into it; #383 of 8,300 by trust here, #714 by citations
• Artificial Intelligence — 14 citations into it
• Computational Theory and Mathematics — 9 citations into it
• Electrical and Electronic Engineering — 6 citations into it; #4,742 of 16,539 by trust here, #11,977 by citations

Whom Siba Sankar Mahapatra trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. John H. Holland
2. A. Patnaik
3. Sanaz Mostaghim
4. Carlo R. Raquel
5. Lingfeng Wang
6. Patrick van der Smagt

Who trusts Siba Sankar Mahapatra overall

1. Saurav Datta
2. A. Forster
3. Arup Dey
4. Norfadzlan Yusup
5. Hoejin Kim
6. O. Mohamed
7. M. Heidari-Rarani
8. Nita Yodo
9. Azlan Mohd Zain
10. R. Bagherian Azhiri

Papers from Siba Sankar Mahapatra's perspective

Ordered by how strongly the researchers Siba Sankar Mahapatra trusts endorse each paper. Same corpus, a different order for every researcher.

1. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence
2. Handling multiple objectives with particle swarm optimization (IEEE Transactions on Evolutionary Computation)
3. Strategies for finding good local guides in multi-objective particle swarm optimization (MOPSO) (Proceedings of the 2003 IEEE Swarm Intelligence Symposium. SIS'03 (Cat. No.03EX706))
4. Pareto-optimality approach for flexible job-shop scheduling problems: hybridization of evolutionary algorithms and fuzzy logic (Mathematics and Computers in Simulation)
5. Electrical discharge machining characteristics of metal matrix composites
6. A MOPSO Algorithm Based Exclusively on Pareto Dominance Concepts (International Conference on Evolutionary Multi-Criterion Optimization)
7. An effective use of crowding distance in multiobjective particle swarm optimization (Annual Conference on Genetic and Evolutionary Computation)
8. Effect of Layer Orientation on Mechanical Properties of Rapid Prototyped Samples
9. Effect of processing conditions on the bonding quality of FDM polymer filaments
10. Prediction of properties of waste AAC aggregate concrete using artificial neural network

Their papers

• Optimization of wire electrical discharge machining (WEDM) process parameters using Taguchi method (2007) — 558 citations
• Modeling, simulation and parametric optimization of wire EDM process using response surface methodology coupled with grey-Taguchi technique (2010) — 177 citations
• Particle swarm optimization algorithm embedded with maximum deviation theory for solving multi-objective flexible job shop scheduling problem (2015) — 70 citations
• Experimental investigation and empirical modelling of FDM process for compressive strength improvement (2012) — 548 citations
• An investigation on sliding wear of FDM built parts (2012) — 153 citations
• Artificial neural network (ANN) approach for modelling of arsenic (III) biosorption from aqueous solution by living cells of Bacillus cereus biomass (2011) — 154 citations
• Parametric appraisal of mechanical property of fused deposition modelling processed parts (2010) — 1,286 citations
• Study on mechanical and erosion wear behavior of hybrid composites using Taguchi experimental design (2009) — 162 citations
• Improving dimensional accuracy of Fused Deposition Modelling processed part using grey Taguchi method (2009) — 667 citations