| Development and performance evaluation of FLANN based model for forecasting of stock markets R Majhi, G Panda, G Sahoo Expert systems with applications 36 (3), 6800-6808, 2009 | 219 | 2009 |
| Efficient prediction of stock market indices using adaptive bacterial foraging optimization (ABFO) and BFO based techniques R Majhi, G Panda, B Majhi, G Sahoo Expert systems with applications 36 (6), 10097-10104, 2009 | 197 | 2009 |
| Impact of COVID-19 on GDP of major economies: Application of the artificial neural network forecaster PR Jena, R Majhi, R Kalli, S Managi, B Majhi Economic Analysis and Policy 69, 324-339, 2021 | 187 | 2021 |
| Efficient prediction of exchange rates with low complexity artificial neural network models R Majhi, G Panda, G Sahoo Expert systems with applications 36 (1), 181-189, 2009 | 167 | 2009 |
| Forecasting of currency exchange rates using an adaptive ARMA model with differential evolution based training M Rout, B Majhi, R Majhi, G Panda Journal of King Saud University-Computer and Information Sciences 26 (1), 7-18, 2014 | 144 | 2014 |
| Impact of COVID-19 on the Indian seaport transportation and maritime supply chain PT Narasimha, PR Jena, R Majhi Transport Policy 110, 191-203, 2021 | 132 | 2021 |
| A comparative performance assessment of a set of multiobjective algorithms for constrained portfolio assets selection SK Mishra, G Panda, R Majhi Swarm and Evolutionary Computation 16, 38-51, 2014 | 83 | 2014 |
| New robust forecasting models for exchange rates prediction B Majhi, M Rout, R Majhi, G Panda, PJ Fleming Expert Systems with Applications 39 (16), 12658-12670, 2012 | 58 | 2012 |
| Analysis and prediction of COVID‐19 trajectory: A machine learning approach R Majhi, R Thangeda, RP Sugasi, N Kumar Journal of Public Affairs 21 (4), e2537, 2021 | 51 | 2021 |
| Constrained portfolio asset selection using multiobjective bacteria foraging optimization SK Mishra, G Panda, R Majhi Operational Research 14, 113-145, 2014 | 43 | 2014 |
| Development and performance evaluation of a novel knowledge guided artificial neural network (KGANN) model for exchange rate prediction PR Jena, R Majhi, B Majhi Journal of King Saud University-Computer and Information Sciences 27 (4 …, 2015 | 42 | 2015 |
| Comparative performance evaluation of clustering algorithms for grouping manufacturing firms V Bhatnagar, R Majhi, PR Jena Arabian Journal for Science and Engineering 43, 4071-4083, 2018 | 32 | 2018 |
| Behavior and perception of younger generation towards green products R Majhi Journal of Public Affairs 22 (1), e2288, 2022 | 30 | 2022 |
| On the development of improved adaptive models for efficient prediction of stock indices using clonal-pso (cpso) and pso techniques R Majhi, G Panda, G Sahoo, A Panda International Journal of Business Forecasting and Marketing Intelligence 1 …, 2008 | 25 | 2008 |
| A fast multiobjective evolutionary algorithm for finding wellspread pareto-optimal solutions SK Mishra, P Ganapati, S Meher, R Majhi KanGAL report, 2002 | 25 | 2002 |
| Classification of consumer behavior using functional link artificial neural network R Majhi, B Panda, S Pandu, B Majhi, G Panda 2010 International Conference on Advances in Computer Engineering, 323-325, 2010 | 24 | 2010 |
| Disposal of obsolete mobile phones: A review on replacement, disposal methods, in-use lifespan, reuse and recycling S Prabhu N, R Majhi Waste Management & Research 41 (1), 18-36, 2023 | 21 | 2023 |
| Improved portfolio optimization combining multiobjective evolutionary computing algorithm and prediction strategy SK Mishra, G Panda, B Majhi, R Majhi World congress on engineering 1, 2012 | 19 | 2012 |
| Portfolio management assessment by four multiobjective optimization algorithm SK Mishra, G Panda, S Meher, R Majhi, M Singh 2011 IEEE Recent Advances in Intelligent Computational Systems, 326-331, 2011 | 18 | 2011 |
| Are Twitter sentiments during COVID-19 pandemic a critical determinant to predict stock market movements? A machine learning approach PR Jena, R Majhi Scientific African 19, e01480, 2023 | 17 | 2023 |
