A strategic analysis of inter organizational information sharing J Li, R Sikora, MJ Shaw, GW Tan Decision support systems 42 (1), 251-266, 2006 | 302 | 2006 |
A multi-agent framework for the coordination and integration of information systems R Sikora, MJ Shaw Management science 44 (11-part-2), S65-S78, 1998 | 241 | 1998 |
Coordination mechanisms for multi-agent manufacturing systems: applications to integrated manufacturing scheduling R Sikora, MJ Shaw IEEE Transactions on Engineering Management 44 (2), 175-187, 1997 | 153 | 1997 |
Framework for efficient feature selection in genetic algorithm based data mining R Sikora, S Piramuthu European Journal of Operational Research 180 (2), 723-737, 2007 | 140 | 2007 |
A genetic algorithm-based approach to flexible flow-line scheduling with variable lot sizes I Lee, R Sikora, MJ Shaw IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 27 …, 1997 | 135 | 1997 |
Assessing the relative influence of journals in a citation network S Nerur, R Sikora, G Mangalaraj, VG Balijepally Communications of the ACM 48 (11), 71-74, 2005 | 110 | 2005 |
A modified stacking ensemble machine learning algorithm using genetic algorithms R Sikora Handbook of research on organizational transformations through big data …, 2015 | 105 | 2015 |
The effects of information sharing strategies on supply chain performance J Li, MJ Shaw, RT Sikora, GW Tan, R Yang College of Commerce and Business Administration, University of Illinois at …, 2001 | 105 | 2001 |
A genetic algorithm for integrating lot-sizing and sequencing in scheduling a capacitated flow line R Sikora Computers & Industrial Engineering 30 (4), 969-981, 1996 | 97 | 1996 |
Iterative feature construction for improving inductive learning algorithms S Piramuthu, RT Sikora Expert Systems with Applications 36 (2), 3401-3406, 2009 | 66 | 2009 |
Integrating the lot-sizing and sequencing decisions for scheduling a capacitated flow line R Sikora, D Chhajed, MJ Shaw Computers & Industrial Engineering 30 (4), 659-679, 1996 | 63 | 1996 |
Estimating sequential bias in online reviews: a Kalman filtering approach RT Sikora, K Chauhan Knowledge-Based Systems 27, 314-321, 2012 | 49 | 2012 |
A double-layered learning approach to acquiring rules for classification: Integrating genetic algorithms with similarity-based learning R Sikora, M Shaw ORSA Journal on Computing 6 (2), 174-187, 1994 | 44 | 1994 |
Joint lot sizing and sequencing with genetic algorithms for scheduling: evolving the chromosome structure I Lee, R Sikora, MJ Shaw Proceedings of the 5th International Conference on Genetic Algorithms, 383-391, 1993 | 41 | 1993 |
Efficient genetic algorithm based data mining using feature selection with Hausdorff distance R Sikora, S Piramuthu Information Technology and Management 6, 315-331, 2005 | 35 | 2005 |
Learning control strategies for chemical processes: a distributed approach R Sikora IEEE Expert 7 (3), 35-43, 1992 | 34 | 1992 |
Conceptualizing co-ordination and competition in supply chains as complex adaptive system CS Langdon, RT Sikora Information Systems and e-Business Management 4, 71-81, 2006 | 30 | 2006 |
A computational study of distributed rule learning R Sikora, MJ Shaw Information Systems Research 7 (2), 189-197, 1996 | 27 | 1996 |
Performance of online reputation mechanisms under the influence of different types of biases L You, R Sikora Information Systems and e-Business management 12, 417-442, 2014 | 19 | 2014 |
Learning bidding strategies with autonomous agents in environments with unstable equilibrium RT Sikora, V Sachdev Decision Support Systems 46 (1), 101-114, 2008 | 16 | 2008 |