| Matminer: An open source toolkit for materials data mining L Ward, A Dunn, A Faghaninia, NER Zimmermann, S Bajaj, Q Wang, ... Computational Materials Science 152, 60-69, 2018 | 388 | 2018 |
| Social cloud computing: A vision for socially motivated resource sharing K Chard, K Bubendorfer, S Caton, OF Rana IEEE Transactions on services computing 5 (4), 551-563, 2011 | 300 | 2011 |
| Social cloud: Cloud computing in social networks K Chard, S Caton, O Rana, K Bubendorfer 2010 IEEE 3rd International Conference on Cloud Computing, 99-106, 2010 | 274 | 2010 |
| The materials data facility: data services to advance materials science research B Blaiszik, K Chard, J Pruyne, R Ananthakrishnan, S Tuecke, I Foster Jom 68 (8), 2045-2052, 2016 | 228 | 2016 |
| Parsl: Pervasive parallel programming in python Y Babuji, A Woodard, Z Li, DS Katz, B Clifford, R Kumar, L Lacinski, ... Proceedings of the 28th International Symposium on High-Performance Parallel …, 2019 | 144 | 2019 |
| Computing environments for reproducibility: Capturing the “Whole Tale” A Brinckman, K Chard, N Gaffney, M Hategan, MB Jones, K Kowalik, ... Future Generation Computer Systems 94, 854-867, 2019 | 128 | 2019 |
| Predictive big data analytics: a study of Parkinson’s disease using large, complex, heterogeneous, incongruent, multi-source and incomplete observations ID Dinov, B Heavner, M Tang, G Glusman, K Chard, M Darcy, R Madduri, ... PloS one 11 (8), e0157077, 2016 | 114 | 2016 |
| A social compute cloud: Allocating and sharing infrastructure resources via social networks S Caton, C Haas, K Chard, K Bubendorfer, OF Rana IEEE Transactions on Services Computing 7 (3), 359-372, 2014 | 102 | 2014 |
| A data ecosystem to support machine learning in materials science B Blaiszik, L Ward, M Schwarting, J Gaff, R Chard, D Pike, K Chard, ... MRS Communications 9 (4), 1125-1133, 2019 | 98 | 2019 |
| Big biomedical data as the key resource for discovery science AW Toga, I Foster, C Kesselman, R Madduri, K Chard, EW Deutsch, ... Journal of the American Medical Informatics Association 22 (6), 1126-1131, 2015 | 90 | 2015 |
| funcX: A Federated Function Serving Fabric for Science R Chard, Y Babuji, Z Li, T Skluzacek, A Woodard, B Blaiszik, I Foster, ... International Symposium on High-Performance Parallel and Distributed Computing, 2020 | 88 | 2020 |
| Efficient and secure transfer, synchronization, and sharing of big data K Chard, S Tuecke, I Foster IEEE Cloud Computing 1 (3), 46-55, 2014 | 88 | 2014 |
| Cloud-based bioinformatics workflow platform for large-scale next-generation sequencing analyses B Liu, RK Madduri, B Sotomayor, K Chard, L Lacinski, UJ Dave, J Li, C Liu, ... Journal of biomedical informatics 49, 119-133, 2014 | 86 | 2014 |
| Experiences building Globus Genomics: a next‐generation sequencing analysis service using Galaxy, Globus, and Amazon Web Services RK Madduri, D Sulakhe, L Lacinski, B Liu, A Rodriguez, K Chard, ... Concurrency and Computation: Practice and Experience 26 (13), 2266-2279, 2014 | 82 | 2014 |
| DLHub: Model and data serving for science R Chard, Z Li, K Chard, L Ward, Y Babuji, A Woodard, S Tuecke, ... 2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2019 | 79 | 2019 |
| Globus Auth: A research identity and access management platform S Tuecke, R Ananthakrishnan, K Chard, M Lidman, B McCollam, S Rosen, ... 2016 IEEE 12th International Conference on e-Science (e-Science), 203-212, 2016 | 79 | 2016 |
| Globus platform‐as‐a‐service for collaborative science applications R Ananthakrishnan, K Chard, I Foster, S Tuecke Concurrency and Computation: Practice and Experience 27 (2), 290-305, 2015 | 63 | 2015 |
| The Globus Galaxies platform: delivering science gateways as a service R Madduri, K Chard, R Chard, L Lacinski, A Rodriguez, D Sulakhe, ... Concurrency and Computation: Practice and Experience 27 (16), 4344-4360, 2015 | 55 | 2015 |
| Globus data publication as a service: Lowering barriers to reproducible science K Chard, J Pruyne, B Blaiszik, R Ananthakrishnan, S Tuecke, I Foster 2015 IEEE 11th International Conference on e-Science, 401-410, 2015 | 55 | 2015 |
| Enabling real-time multi-messenger astrophysics discoveries with deep learning EA Huerta, G Allen, I Andreoni, JM Antelis, E Bachelet, GB Berriman, ... Nature Reviews Physics 1 (10), 600-608, 2019 | 53 | 2019 |
Ian T. FosterUniversity of Chicago and Argonne National LaboratoryVerified email at uchicago.edu
