| Distance restraints from crosslinking mass spectrometry: mining a molecular dynamics simulation database to evaluate lysine–lysine distances ED Merkley, S Rysavy, A Kahraman, RP Hafen, V Daggett, JN Adkins Protein science 23 (6), 747-759, 2014 | 245 | 2014 |
| Challenges in biomarker discovery: combining expert insights with statistical analysis of complex omics data JE McDermott, J Wang, H Mitchell, BJ Webb-Robertson, R Hafen, ... Expert opinion on medical diagnostics 7 (1), 37-51, 2013 | 200 | 2013 |
| A visual analytics approach to understanding spatiotemporal hotspots R Maciejewski, S Rudolph, R Hafen, A Abusalah, M Yakout, M Ouzzani, ... IEEE Transactions on Visualization and Computer Graphics 16 (2), 205-220, 2009 | 196 | 2009 |
| Large complex data: divide and recombine (d&r) with rhipe S Guha, R Hafen, J Rounds, J Xia, J Li, B Xi, WS Cleveland Stat 1 (1), 53-67, 2012 | 145 | 2012 |
| Forecasting hotspots—a predictive analytics approach R Maciejewski, R Hafen, S Rudolph, SG Larew, MA Mitchell, ... IEEE transactions on visualization and computer graphics 17 (4), 440-453, 2010 | 97 | 2010 |
| Data mining applications with R Y Zhao, Y Cen Academic Press, 2013 | 94 | 2013 |
| Syndromic surveillance: STL for modeling, visualizing, and monitoring disease counts RP Hafen, DE Anderson, WS Cleveland, R Maciejewski, DS Ebert, ... BMC Medical Informatics and Decision Making 9 (1), 1-11, 2009 | 61 | 2009 |
| Understanding syndromic hotspots-a visual analytics approach R Maciejewski, S Rudolph, R Hafen, A Abusalah, M Yakout, M Ouzzani, ... 2008 IEEE Symposium on Visual Analytics Science and Technology, 35-42, 2008 | 37 | 2008 |
| Automated box-cox transformations for improved visual encoding R Maciejewski, A Pattath, S Ko, R Hafen, WS Cleveland, DS Ebert IEEE transactions on visualization and computer graphics 19 (1), 130-140, 2012 | 35 | 2012 |
| A comparison of forecast error generators for modeling wind and load uncertainty N Lu, R Diao, RP Hafen, N Samaan, YV Makarov 2013 IEEE Power & Energy Society General Meeting, 1-5, 2013 | 34 | 2013 |
| Visualization databases for the analysis of large complex datasets S Guha, P Kidwell, RP Hafen, WS Cleveland Artificial Intelligence and Statistics, 193-200, 2009 | 32 | 2009 |
| Generating synthetic syndromic-surveillance data for evaluating visual-analytics techniques R Maciejewski, R Hafen, S Rudolph, G Tebbetts, WS Cleveland, ... IEEE Computer Graphics and Applications 29 (3), 18-28, 2009 | 30 | 2009 |
| Divide and recombine (D&R): Data science for large complex data WS Cleveland, R Hafen Statistical Analysis and Data Mining: The ASA Data Science Journal 7 (6 …, 2014 | 29 | 2014 |
| Trelliscope: A system for detailed visualization in the deep analysis of large complex data R Hafen, L Gosink, J McDermott, K Rodland, K Kleese-Van Dam, ... 2013 IEEE Symposium on Large-Scale Data Analysis and Visualization (LDAV …, 2013 | 28 | 2013 |
| Child wasting and concurrent stunting in low-and middle-income countries A Mertens, J Benjamin-Chung, JM Colford Jr, AE Hubbard, ... MedRxiv, 2020.06. 09.20126979, 2020 | 25 | 2020 |
| The impact of solar photovoltaic generation on Balancing Requirements in the Southern Nevada system J Ma, S Lu, RP Hafen, PV Etingov, YV Makarov, V Chadliev PES T&D 2012, 1-9, 2012 | 25 | 2012 |
| Integration of uncertainty information into power system operations YV Makarov, S Lu, N Samaan, Z Huang, K Subbarao, PV Etingov, J Ma, ... 2011 IEEE Power and Energy Society General Meeting, 1-13, 2011 | 25 | 2011 |
| Causes and consequences of child growth failure in low-and middle-income countries A Mertens, J Benjamin-Chung, JM Colford Jr, J Coyle, MJ van der Laan, ... MedRxiv, 2020.06. 09.20127100, 2020 | 24 | 2020 |
| Stlplus: enhanced seasonal decomposition of time series by loess R Hafen R package version 0.5 1, 2016 | 23 | 2016 |
| Local regression models: Advancements, applications, and new methods RP Hafen Purdue University, 2010 | 21 | 2010 |
