| Noodles: A Tool for Visualization of Numerical Weather Model Ensemble Uncertainty J Sanyal, S Zhang, J Dyer, A Mercer, P Amburn, RJ Moorhead IEEE Transactions on Visualization and Computer Graphics 16 (6), 1421-1430, 2010 | 323 | 2010 |
| Characterizing provenance in visualization and data analysis: an organizational framework of provenance types and purposes ED Ragan, A Endert, J Sanyal, J Chen IEEE transactions on visualization and computer graphics 22 (1), 31-40, 2015 | 254 | 2015 |
| A user study to compare four uncertainty visualization methods for 1d and 2d datasets J Sanyal, S Zhang, G Bhattacharya, P Amburn, R Moorhead IEEE transactions on visualization and computer graphics 15 (6), 1209-1218, 2009 | 190 | 2009 |
| Evaluation of “Autotune” calibration against manual calibration of building energy models G Chaudhary, J New, J Sanyal, P Im, Z O’Neill, V Garg Applied energy 182, 115-134, 2016 | 109 | 2016 |
| Autotune E+ Building Energy Models J New, J Sanyal, M Bhandari, S Shrestha 5th SimBuild Conference of IBPSA-USA, 2012 | 54 | 2012 |
| Investigating bullying as a predictor of suicidality in a clinical sample of adolescents with autism spectrum disorder R Holden, J Mueller, J McGowan, J Sanyal, M Kikoler, E Simonoff, ... Autism research 13 (6), 988-997, 2020 | 42 | 2020 |
| Machine learning for energy-water nexus: challenges and opportunities SMA Zaidi, V Chandola, MR Allen, J Sanyal, RN Stewart, BL Bhaduri, ... Big Earth Data 2 (3), 228-267, 2018 | 42 | 2018 |
| Mapping near-real-time power outages from social media H Mao, G Thakur, K Sparks, J Sanyal, B Bhaduri Social Sensing and Big Data Computing for Disaster Management, 88-102, 2020 | 41 | 2020 |
| Calibrating building energy models using supercomputer trained machine learning agents J Sanyal, J New, RE Edwards, L Parker Concurrency and Computation: Practice and Experience 26 (13), 2122-2133, 2014 | 34 | 2014 |
| Simulation and big data challenges in tuning building energy models J Sanyal, J New 2013 Workshop on Modeling and Simulation of Cyber-Physical Energy Systems …, 2013 | 25 | 2013 |
| Supercomputer assisted generation of machine learning agents for the calibration of building energy models J Sanyal, J New, R Edwards Proceedings of the conference on extreme science and engineering discovery …, 2013 | 19 | 2013 |
| Impacts of the morphology of new neighborhoods on microclimate and building energy MR Allen-Dumas, AN Rose, JR New, OA Omitaomu, J Yuan, ... Renewable and Sustainable Energy Reviews 133, 110030, 2020 | 18 | 2020 |
| Cost Effective Retrofit Technology for Reducing Peak Power Demand in Small and Medium Commercial Buildings J Nutaro, D Fugate, T Kuruganti, J Sanyal, M Starke Science and Technology for the Built Environment, 2015 | 18 | 2015 |
| An overview of visualization and visual analytics applications in water resources management H Xu, A Berres, Y Liu, MR Allen-Dumas, J Sanyal Environmental Modelling & Software 153, 105396, 2022 | 12 | 2022 |
| Provenance in sensor data management Z Hensley, J Sanyal, J New Communications of the ACM 57 (2), 55-62, 2014 | 12 | 2014 |
| Sensor data management, validation, correction, and provenance for building technologies CC Castello, J Sanyal, J Rossiter, Z Hensley, JR New Proceedings of the ASHRAE Annual Conference and ASHRAE Transactions, 2014 | 12 | 2014 |
| World spatiotemporal analytics and mapping project (wstamp): Discovering, exploring, and mapping spatiotemporal patterns across the world’s largest open soruce data sets R Stewart, J Piburn, A Sorokine, A Myers, J Moehl, D White ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2015 | 10 | 2015 |
| Regional-scale spatio-temporal analysis of impacts of weather on traffic speed in Chicago using probe data K Kurte, S Ravulaparthy, A Berres, M Allen, J Sanyal Procedia Computer Science 155, 551-558, 2019 | 9 | 2019 |
| A mobility-driven approach to modeling building energy A Berres, P Im, K Kurte, M Allen-Dumas, G Thakur, J Sanyal 2019 IEEE International Conference on Big Data (Big Data), 3887-3895, 2019 | 8 | 2019 |
| Performance analysis and optimization for scalable deployment of deep learning models for country‐scale settlement mapping on Titan supercomputer K Kurte, J Sanyal, A Berres, D Lunga, M Coletti, HL Yang, D Graves, ... Concurrency and Computation: Practice and Experience 31 (20), e5305, 2019 | 8 | 2019 |
Joshua NewOak Ridge National LaboratoryVerified email at ornl.gov
