The ecology of methane in streams and rivers: patterns, controls, and global significance EH Stanley, NJ Casson, ST Christel, JT Crawford, LC Loken, SK Oliver Ecological Monographs 86 (2), 146-171, 2016 | 488 | 2016 |
Widespread loss of lake ice around the Northern Hemisphere in a warming world S Sharma, K Blagrave, JJ Magnuson, CM O’Reilly, S Oliver, RD Batt, ... Nature Climate Change 9 (3), 227-231, 2019 | 406 | 2019 |
Process‐guided deep learning predictions of lake water temperature JS Read, X Jia, J Willard, AP Appling, JA Zwart, SK Oliver, A Karpatne, ... Water Resources Research, 2019 | 300 | 2019 |
The importance of lake-specific characteristics for water quality across the continental United States EK Read, VP Patil, SK Oliver, AL Hetherington, JA Brentrup, JA Zwart, ... Ecological Applications 25 (4), 943-955, 2015 | 131 | 2015 |
LAGOS-NE: a multi-scaled geospatial and temporal database of lake ecological context and water quality for thousands of US lakes PA Soranno, LC Bacon, M Beauchene, KE Bednar, EG Bissell, ... GigaScience 6 (12), 1-22, 2017 | 129 | 2017 |
Building a multi-scaled geospatial temporal ecology database from disparate data sources: fostering open science and data reuse PA Soranno, EG Bissell, KS Cheruvelil, ST Christel, SM Collins, ... GigaScience 4 (1), 1-15, 2015 | 122 | 2015 |
Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data F Rahmani, K Lawson, W Ouyang, A Appling, S Oliver, C Shen Environmental Research Letters 16 (2), 024025, 2021 | 95 | 2021 |
Unexpected stasis in a changing world: Lake nutrient and chlorophyll trends since 1990 SK Oliver, SM Collins, PA Soranno, T Wagner, EH Stanley, JR Jones, ... Global Change Biology 23 (12), 5455-5467, 2017 | 85 | 2017 |
Physics-Guided Recurrent Graph Model for Predicting Flow and Temperature in River Networks X Jia, J Zwart, J Sadler, A Appling, S Oliver, S Markstrom, J Willard, S Xu, ... Proceedings of the 2021 SIAM International Conference on Data Mining (SDM …, 2021 | 71 | 2021 |
The freshwater landscape: lake, wetland, and stream abundance and connectivity at macroscales CE Fergus, JF Lapierre, SK Oliver, NK Skaff, KS Cheruvelil, K Webster, ... Ecosphere 8 (8), e01911, 2017 | 66 | 2017 |
Predicting Water Temperature Dynamics of Unmonitored Lakes With Meta‐Transfer Learning JD Willard, JS Read, AP Appling, SK Oliver, X Jia, V Kumar Water Resources Research 57 (7), e2021WR029579, 2021 | 65 | 2021 |
Biases in lake water quality sampling and implications for macroscale research EH Stanley, SM Collins, NR Lottig, SK Oliver, KE Webster, KS Cheruvelil, ... Limnology and Oceanography 64 (4), 1572-1585, 2019 | 65 | 2019 |
Lake nutrient stoichiometry is less predictable than nutrient concentrations at regional and sub‐continental scales SM Collins, SK Oliver, JF Lapierre, EH Stanley, JR Jones, T Wagner, ... Ecological Applications 27 (5), 1529-1540, 2017 | 55 | 2017 |
Consequences of gas flux model choice on the interpretation of metabolic balance across 15 lakes H Dugan, RI Woolway, A Santoso, J Corman, A Jaimes, E Nodine, V Patil, ... Inland Waters 6 (4), 581-592, 2016 | 51 | 2016 |
Winter precipitation and summer temperature predict lake water quality at macroscales SM Collins, S Yuan, PN Tan, SK Oliver, JF Lapierre, KS Cheruvelil, ... Water Resources Research 55 (4), 2708-2721, 2019 | 46 | 2019 |
Strategies for effective collaborative manuscript development in interdisciplinary science teams SK Oliver, CE Fergus, NK Skaff, T Wagner, PN Tan, KS Cheruvelil, ... Ecosphere 9 (4), e02206, 2018 | 46 | 2018 |
Deep learning approaches for improving prediction of daily stream temperature in data‐scarce, unmonitored, and dammed basins F Rahmani, C Shen, S Oliver, K Lawson, A Appling Hydrological Processes 35 (11), e14400, 2021 | 45 | 2021 |
Spatial and temporal variation of ecosystem properties at macroscales PA Soranno, T Wagner, SM Collins, JF Lapierre, NR Lottig, SK Oliver Ecology letters 22 (10), 1587-1598, 2019 | 41 | 2019 |
Can machine learning accelerate process understanding and decision‐relevant predictions of river water quality? C Varadharajan, AP Appling, B Arora, DS Christianson, VC Hendrix, ... Hydrological Processes 36 (4), e14565, 2022 | 37 | 2022 |
Multi‐Task Deep Learning of Daily Streamflow and Water Temperature JM Sadler, AP Appling, JS Read, SK Oliver, X Jia, JA Zwart, V Kumar Water Resources Research 58 (4), e2021WR030138, 2022 | 31 | 2022 |