| Big data: challenges, opportunities, and realities AK Bhadani, D Jothimani Effective Big Data management and opportunities for implementation, 1-24, 2016 | 261 | 2016 |
| Supply chain performance measurement for third party logistics D Jothimani, SP Sarmah Benchmarking: An International Journal 21 (6), 944-963, 2014 | 135 | 2014 |
| A PCA-DEA framework for stock selection in Indian stock market D Jothimani, R Shankar, SS Yadav Journal of Modelling in Management 12 (3), 386-403, 2017 | 42 | 2017 |
| Discrete wavelet transform-based prediction of stock index: A study on national stock exchange fifty index D Jothimani, R Shankar, SS Yadav arXiv preprint arXiv:1605.07278, 2016 | 42 | 2016 |
| Stock trading decisions using ensemble-based forecasting models: a study of the Indian stock market D Jothimani, SS Yadav Journal of Banking and Financial Technology 3 (2), 113-129, 2019 | 35 | 2019 |
| Classification of" hot news" for financial forecast using NLP techniques S Yıldırım, D Jothimani, C Kavaklıoğlu, A Başar 2018 IEEE International Conference on Big Data (Big Data), 4719-4722, 2018 | 27 | 2018 |
| Deep learning approaches for sentiment analysis on financial microblog dataset S Yıldırım, D Jothimani, C Kavaklioğlu, A Başar 2019 IEEE International Conference on Big Data (Big Data), 5581-5584, 2019 | 22 | 2019 |
| A big data analytical framework for portfolio optimization D Jothimani, R Shankar, SS Yadav arXiv preprint arXiv:1811.07188, 2018 | 19 | 2018 |
| A hybrid EMD-ANN model for stock price prediction D Jothimani, R Shankar, SS Yadav Swarm, Evolutionary, and Memetic Computing: 6th International Conference …, 2016 | 14 | 2016 |
| Does chronology matter in jit defect prediction? a partial replication study H Jahanshahi, D Jothimani, A Başar, M Cevik Proceedings of the Fifteenth International Conference on Predictive Models …, 2019 | 12 | 2019 |
| Towards understanding the cynicism of social networking sites: An operations management perspective D Jothimani, AK Bhadani, R Shankar Procedia-Social and Behavioral Sciences 189, 117-132, 2015 | 11 | 2015 |
| Risk parity models for portfolio optimization: a study of the Toronto stock exchange D Jothimani, A Bener 2019 International Conference on Deep Learning and Machine Learning in …, 2019 | 9 | 2019 |
| Stock index forecasting using time series decomposition-based and machine learning models D Jothimani, A Başar Artificial Intelligence XXXVI: 39th SGAI International Conference on …, 2019 | 9 | 2019 |
| Modeling hierarchical relationships among enablers of supply chain coordination in flexible environment D Jothimani, R Shankar, SS Yadav Managing Flexibility: People, Process, Technology and Business, 171-186, 2016 | 8 | 2016 |
| A comparative study of ensemble-based forecasting models for stock index prediction D Jothimani, R Shankar, SS Yadav | 6 | 2016 |
| Building domain-specific lexicons: An application to financial news S Yildirim, D Jothimani, C Kavaklioglu, AB Bener 2019 International Conference on Deep Learning and Machine Learning in …, 2019 | 5 | 2019 |
| Ensemble of non-classical decomposition models and machine learning models for stock index prediction D Jothimani, R Shankar, P Yadav, S Surendra | 5 | 2017 |
| Financial Networks: A Study of the Toronto Stock Exchange D Jothimani, C Kavaklioğlu, A Başar 2018 IEEE International Conference on Big Data (Big Data), 4684-4691, 2018 | 4 | 2018 |
| Portfolio selection in Indian stock market using relative performance indicator approach D Jothimani, R Shankar, SS Yadav Flexibility in Resource Management, 185-201, 2018 | 4 | 2018 |
| Forecasting of Stock Index Using Empirical Mode Decomposition and Artificial Neural Network D Jothimani, R Shankar, SS Yadav INFORMS Workshop on Data Mining and Analytics, 1-6, 2015 | 1 | 2015 |
Prof. Ravi ShankarProfessor, Department of Management Studies, IIT DelhiE-mail megerősítve itt: dms.iitd.ac.in