| Leadership, creative problem‐solving capacity, and creative performance: The importance of knowledge sharing A Carmeli, R Gelbard, R Reiter‐Palmon Human resource management 52 (1), 95-121, 2013 | 659 | 2013 |
| The importance of innovation leadership in cultivating strategic fit and enhancing firm performance A Carmeli, R Gelbard, D Gefen The Leadership Quarterly 21 (3), 339-349, 2010 | 325 | 2010 |
| Investigating diversity of clustering methods: An empirical comparison R Gelbard, O Goldman, I Spiegler Data & Knowledge Engineering 63 (1), 155-166, 2007 | 294 | 2007 |
| The interactive effect of team dynamics and organizational support on ICT project success R Gelbard, A Carmeli International Journal of Project Management 27 (5), 464-470, 2009 | 142 | 2009 |
| Unified binary model and methodology for knowledge representation and for data and information mining I Spiegler, RM Gelbard US Patent 6,728,728, 2004 | 136 | 2004 |
| Integrating system analysis and project management tools R Gelbard, N Pliskin, I Spiegler International Journal of Project Management 20 (6), 461-468, 2002 | 87 | 2002 |
| Sentiment analysis in organizational work: Towards an ontology of people analytics R Gelbard, R Ramon‐Gonen, A Carmeli, RM Bittmann, R Talyansky Expert Systems 35 (5), e12289, 2018 | 82 | 2018 |
| Method and system for extended bitmap indexing R Gelbard US Patent 8,346,779, 2013 | 76 | 2013 |
| Classification by clustering decision tree-like classifier based on adjusted clusters B Aviad, G Roy Expert Systems with Applications 38 (7), 8220-8228, 2011 | 59 | 2011 |
| Knowledge sharing motivation among IT personnel: Integrated model and implications of employment contracts N Koriat, R Gelbard International journal of information management 34 (5), 577-591, 2014 | 57 | 2014 |
| Decision‐making method using a visual approach for cluster analysis problems; indicative classification algorithms and grouping scope RM Bittmann, RM Gelbard Expert Systems 24 (3), 171-187, 2007 | 51 | 2007 |
| Data mining by means of binary representation: a model for similarity and clustering Z Erlich, R Gelbard, I Spiegler Information Systems Frontiers 4, 187-197, 2002 | 45 | 2002 |
| Cluster evolution analysis: Identification and detection of similar clusters and migration patterns R Ramon-Gonen, R Gelbard Expert Systems with Applications 83, 363-378, 2017 | 42 | 2017 |
| Hempel's raven paradox: A positive approach to cluster analysis R Gelbard, I Spiegler Computers & Operations Research 27 (4), 305-320, 2000 | 37 | 2000 |
| Linking perceived external prestige and collective identification to collaborative behaviors in R&D teams A Carmeli, R Gelbard, R Goldriech Expert systems with applications 38 (7), 8199-8207, 2011 | 31 | 2011 |
| Cluster analysis using multi-algorithm voting in cross-cultural studies R Gelbard, A Carmeli, RM Bittmann, SS Ronen Expert Systems with Applications 36 (7), 10438-10446, 2009 | 31 | 2009 |
| Method and system for sharing trusted contact information R Gelbard, RM Bittmann US Patent 8,751,808, 2014 | 27 | 2014 |
| A decision support method, based on bounded rationality concepts, to reveal feature saliency in clustering problems B Aviad, G Roy Decision Support Systems 54 (1), 292-303, 2012 | 22 | 2012 |
| Visualization of multi-algorithm clustering for better economic decisions—the case of car pricing RM Bittmann, R Gelbard Decision Support Systems 47 (1), 42-50, 2009 | 21 | 2009 |
| Evaluating a positive attribute clustering model for data mining Z Erlich, R Gelbard, I Spiegler Journal of Computer Information Systems 43 (3), 100-108, 2003 | 21 | 2003 |
