| The Airborne Snow Observatory: Fusion of scanning lidar, imaging spectrometer, and physically-based modeling for mapping snow water equivalent and snow albedo TH Painter, DF Berisford, JW Boardman, KJ Bormann, JS Deems, ... Remote Sensing of Environment 184, 139-152, 2016 | 464 | 2016 |
| Evaluation of the CORDEX-Africa multi-RCM hindcast: systematic model errors J Kim, DE Waliser, CA Mattmann, CE Goodale, AF Hart, PA Zimdars, ... Climate dynamics 42, 1189-1202, 2014 | 265 | 2014 |
| The Earth System Grid Federation: An open infrastructure for access to distributed geospatial data L Cinquini, D Crichton, C Mattmann, J Harney, G Shipman, F Wang, ... Future Generation Computer Systems 36, 400-417, 2014 | 233 | 2014 |
| A vision for data science CA Mattmann Nature 493 (7433), 473-475, 2013 | 219 | 2013 |
| Apache airavata: a framework for distributed applications and computational workflows S Marru, L Gunathilake, C Herath, P Tangchaisin, M Pierce, C Mattmann, ... Proceedings of the 2011 ACM workshop on Gateway computing environments, 21-28, 2011 | 186 | 2011 |
| Enhancing architectural recovery using concerns J Garcia, D Popescu, C Mattmann, N Medvidovic, Y Cai 2011 26th IEEE/ACM International Conference on Automated Software …, 2011 | 151 | 2011 |
| Tika in action CA Mattmann, JL Zitting Manning, 2012 | 126 | 2012 |
| Technology readiness levels for machine learning systems A Lavin, CM Gilligan-Lee, A Visnjic, S Ganju, D Newman, S Ganguly, ... Nature Communications 13 (1), 6039, 2022 | 123 | 2022 |
| A software architecture-based framework for highly distributed and data intensive scientific applications CA Mattmann, DJ Crichton, N Medvidovic, S Hughes Proceedings of the 28th international conference on Software engineering …, 2006 | 120 | 2006 |
| Obtaining ground-truth software architectures J Garcia, I Krka, C Mattmann, N Medvidovic 2013 35th International Conference on Software Engineering (ICSE), 901-910, 2013 | 116 | 2013 |
| Convcast: An embedded convolutional LSTM based architecture for precipitation nowcasting using satellite data A Kumar, T Islam, Y Sekimoto, C Mattmann, B Wilson Plos one 15 (3), e0230114, 2020 | 98 | 2020 |
| Apache Airavata: design and directions of a science gateway framework M Pierce, S Marru, L Gunathilake, TA Kanewala, R Singh, S Wijeratne, ... 2014 6th international workshop on science gateways, 48-54, 2014 | 87 | 2014 |
| A millisecond interferometric search for fast radio bursts with the Very Large Array CJ Law, GC Bower, S Burke-Spolaor, B Butler, E Lawrence, TJW Lazio, ... The Astrophysical Journal 807 (1), 16, 2015 | 84 | 2015 |
| New capabilities for prediction of high‐latitude ionospheric scintillation: A novel approach with machine learning RM McGranaghan, AJ Mannucci, B Wilson, CA Mattmann, R Chadwick Space Weather 16 (11), 1817-1846, 2018 | 77 | 2018 |
| SciSpark: Applying in-memory distributed computing to weather event detection and tracking R Palamuttam, RM Mogrovejo, C Mattmann, B Wilson, K Whitehall, ... 2015 IEEE international conference on Big data (Big data), 2020-2026, 2015 | 54 | 2015 |
| Leveraging architectural models to inject trust into software systems S Banerjee, CA Mattmann, N Medvidovic, L Golubchik Proceedings of the 2005 workshop on Software engineering for secure systems …, 2005 | 49 | 2005 |
| Scientific software as workflows: From discovery to distribution D Woollard, N Medvidovic, Y Gil, CA Mattmann IEEE software 25 (4), 37-43, 2008 | 46 | 2008 |
| Clustering web pages based on structure and style similarity (application paper) T Gowda, CA Mattmann 2016 IEEE 17th International conference on information reuse and integration …, 2016 | 44 | 2016 |
| Enabling semantic interoperability for earth science data R Raskin, M Pan, C Mattmann 4th NASA Earth Science Technology Conference, 2004 | 41 | 2004 |
| Maars: Machine learning-based analytics for automated rover systems M Ono, B Rothrock, K Otsu, S Higa, Y Iwashita, A Didier, T Islam, ... 2020 IEEE aerospace conference, 1-17, 2020 | 40 | 2020 |
Daniel CrichtonNASA Jet Propulsion LaboratoryVerified email at jpl.nasa.gov
