| Package ‘lawstat’ JL Gastwirth, YR Gel, WLW Hui, V Lyubchich, W Miao, K Noguchi | 202* | 2015 |
| Lawstat: tools for biostatistics, public policy, and law JL Gastwirth, YR Gel, WLW Hui, V Lyubchich, W Miao, K Noguchi R package version 3, 2020 | 66 | 2020 |
| Patterns and trends in Secchi disk depth over three decades in the Chesapeake Bay estuarine complex JM Testa, V Lyubchich, Q Zhang Estuaries and Coasts 42 (4), 927-943, 2019 | 56 | 2019 |
| Insurance risk assessment in the face of climate change: Integrating data science and statistics V Lyubchich, NK Newlands, A Ghahari, T Mahdi, YR Gel Wiley Interdisciplinary Reviews: Computational Statistics 11 (4), e1462, 2019 | 49 | 2019 |
| A multi-stage machine learning approach to predict dengue incidence: a case study in Mexico A Appice, YR Gel, I Iliev, V Lyubchich, D Malerba Ieee Access 8, 52713-52725, 2020 | 47 | 2020 |
| PaCTS 1.0: a crowdsourced reporting standard for paleoclimate data D Khider, J Emile‐Geay, NP McKay, Y Gil, D Garijo, V Ratnakar, ... Paleoceanography and Paleoclimatology 34 (10), 1570-1596, 2019 | 44 | 2019 |
| Detecting a nearshore fish parade using the adaptive resolution imaging sonar (ARIS): An automated procedure for data analysis S Shahrestani, H Bi, V Lyubchich, KM Boswell Fisheries Research 191, 190-199, 2017 | 43 | 2017 |
| On detecting non‐monotonic trends in environmental time series: A fusion of local regression and bootstrap V Lyubchich, YR Gel, A El‐Shaarawi Environmetrics 24 (4), 209-226, 2013 | 40 | 2013 |
| Topological clustering of multilayer networks M Yuvaraj, AK Dey, V Lyubchich, YR Gel, HV Poor Proceedings of the National Academy of Sciences 118 (21), e2019994118, 2021 | 36 | 2021 |
| Complementing the power of deep learning with statistical model fusion: Probabilistic forecasting of influenza in Dallas County, Texas, USA M Soliman, V Lyubchich, YR Gel Epidemics 28, 100345, 2019 | 31 | 2019 |
| Using the bootstrap for statistical inference on random graphs ME Thompson, LL Ramirez Ramirez, V Lyubchich, YR Gel Canadian Journal of Statistics 44 (1), 3-24, 2016 | 29 | 2016 |
| Bootstrap quantification of estimation uncertainties in network degree distributions YR Gel, V Lyubchich, LL Ramirez Ramirez Scientific reports 7 (1), 5807, 2017 | 28 | 2017 |
| Estimating oxygen in the Southern Ocean using Argo temperature and salinity D Giglio, V Lyubchich, MR Mazloff Journal of Geophysical Research: Oceans 123 (6), 4280-4297, 2018 | 27 | 2018 |
| Year-round spatiotemporal distribution of harbour porpoises within and around the Maryland wind energy area JE Wingfield, M O’Brien, V Lyubchich, JJ Roberts, PN Halpin, AN Rice, ... PloS One 12 (5), e0176653, 2017 | 27 | 2017 |
| funtimes: Functions for time series analysis V Lyubchich, YR Gel, S Vishwakarma R Documentation, 2022 | 25 | 2022 |
| Empirical evidence that large marine predator foraging behavior is consistent with area‐restricted search theory H Bailey, V Lyubchich, J Wingfield, A Fandel, A Garrod, AN Rice Ecology 100 (8), e02743, 2019 | 25 | 2019 |
| Periodicity of strontium: calcium across annuli further validates otolith-ageing for Atlantic bluefin tuna (Thunnus thynnus) MR Siskey, V Lyubchich, D Liang, PM Piccoli, DH Secor Fisheries Research 177, 13-17, 2016 | 23 | 2016 |
| Deep learning at the interface of agricultural insurance risk and spatio-temporal uncertainty in weather extremes A Ghahari, NK Newlands, V Lyubchich, YR Gel North American Actuarial Journal 23 (4), 535-550, 2019 | 22 | 2019 |
| Time series models of decadal trends in the harmful algal species Karlodinium veneficum in Chesapeake Bay CHM Lin, V Lyubchich, PM Glibert Harmful Algae 73, 110-118, 2018 | 22 | 2018 |
| Dissolved methane concentrations in the water column and surface sediments of Hanna Shoal and Barrow Canyon, Northern Chukchi Sea L Lapham, K Marshall, C Magen, V Lyubchich, LW Cooper, JM Grebmeier Deep Sea Research Part II: Topical Studies in Oceanography 144, 92-103, 2017 | 19 | 2017 |
Yulia R. GelUniversity of Waterloo, Canada and University of Texas at Dallas在 utdallas.edu 的电子邮件经过验证
