| Pegasus: A framework for mapping complex scientific workflows onto distributed systems E Deelman, G Singh, MH Su, J Blythe, Y Gil, C Kesselman, G Mehta, ... Scientific programming 13 (3), 219-237, 2005 | 1872 | 2005 |
| The open provenance model core specification (v1. 1) L Moreau, B Clifford, J Freire, J Futrelle, Y Gil, P Groth, N Kwasnikowska, ... Future generation computer systems 27 (6), 743-756, 2011 | 1120 | 2011 |
| A survey of trust in computer science and the semantic web D Artz, Y Gil Journal of Web Semantics 5 (2), 58-71, 2007 | 1065 | 2007 |
| The genetic architecture of the human cerebral cortex KL Grasby, N Jahanshad, JN Painter, L Colodro-Conde, J Bralten, ... Science 367 (6484), eaay6690, 2020 | 883 | 2020 |
| Examining the challenges of scientific workflows Y Gil, E Deelman, M Ellisman, T Fahringer, G Fox, D Gannon, C Goble, ... Computer 40 (12), 24-32, 2007 | 877 | 2007 |
| Pegasus: Mapping scientific workflows onto the grid E Deelman, J Blythe, Y Gil, C Kesselman, G Mehta, S Patil, MH Su, K Vahi, ... European Across Grids Conference, 11-20, 2004 | 805 | 2004 |
| ENIGMA and global neuroscience: A decade of large-scale studies of the brain in health and disease across more than 40 countries PM Thompson, N Jahanshad, CRK Ching, LE Salminen, SI Thomopoulos, ... Translational psychiatry 10 (1), 100, 2020 | 724 | 2020 |
| Mapping abstract complex workflows onto grid environments E Deelman, J Blythe, Y Gil, C Kesselman, G Mehta, K Vahi, K Blackburn, ... Journal of Grid computing 1 (1), 25-39, 2003 | 709 | 2003 |
| Task scheduling strategies for workflow-based applications in grids J Blythe, S Jain, E Deelman, Y Gil, K Vahi, A Mandal, K Kennedy CCGrid 2005. IEEE International Symposium on Cluster Computing and the Grid …, 2005 | 520 | 2005 |
| The cognitive atlas: toward a knowledge foundation for cognitive neuroscience RA Poldrack, A Kittur, D Kalar, E Miller, C Seppa, Y Gil, DS Parker, ... Frontiers in neuroinformatics 5, 17, 2011 | 499 | 2011 |
| Enhancing reproducibility for computational methods V Stodden, M McNutt, DH Bailey, E Deelman, Y Gil, B Hanson, ... Science 354 (6317), 1240-1241, 2016 | 453 | 2016 |
| Explanation-based learning: A problem solving perspective S Minton, JG Carbonell, CA Knoblock, DR Kuokka, O Etzioni, Y Gil Artificial Intelligence 40 (1-3), 63-118, 1989 | 435 | 1989 |
| Prov-dm: The prov data model L Moreau, P Missier, K Belhajjame, R B’Far, J Cheney, S Coppens, ... w3c, 2013 | 428 | 2013 |
| Prodigy: An integrated architecture for planning and learning J Carbonell, O Etzioni, Y Gil, R Joseph, C Knoblock, S Minton, M Veloso ACM SIGART Bulletin 2 (4), 51-55, 1991 | 390 | 1991 |
| The first provenance challenge L Moreau, B Ludäscher, I Altintas, RS Barga, S Bowers, S Callahan, ... Concurrency and computation: practice and experience 20 (5), 409-418, 2008 | 313 | 2008 |
| Ten simple rules for the care and feeding of scientific data A Goodman, A Pepe, AW Blocker, CL Borgman, K Cranmer, M Crosas, ... PLoS computational biology 10 (4), e1003542, 2014 | 304 | 2014 |
| Wings: Intelligent workflow-based design of computational experiments Y Gil, V Ratnakar, J Kim, P Gonzalez-Calero, P Groth, J Moody, ... IEEE Intelligent Systems 26 (1), 62-72, 2010 | 273 | 2010 |
| Towards content trust of web resources Y Gil, D Artz Proceedings of the 15th international conference on World Wide Web, 565-574, 2006 | 267 | 2006 |
| Trusting information sources one citizen at a time Y Gil, V Ratnakar International Semantic Web Conference, 162-176, 2002 | 232 | 2002 |
| Amplify scientific discovery with artificial intelligence Y Gil, M Greaves, J Hendler, H Hirsh Science 346 (6206), 171-172, 2014 | 227 | 2014 |
