Jordan S. Read

9.8k citations

73 papers · 4.5k indexed · 3 hit papers · h-index 33

Environmental Chemistry top 0.2%
Oceanography top 0.5%
Nature and Landscape Conservation top 1%
Ecology top 1%
Water Science and Technology top 0.5%

Co-authors: Luke Winslow Gretchen J. A. Hansen Paul C. Hanson Kevin C. Rose Chin H. Wu David P. Hamilton Alison Appling Jacob A. Zwart
Topics: Marine and coastal ecosystems (25 papers)Fish Ecology and Management Studies (24 papers)Hydrology and Watershed Management Studies (19 papers)
Cited by: Environmental Chemistry Oceanography Nature and Landscape Conservation
Journals: Nature Neuron PLoS ONE
Partner nations: United States New Zealand Australia

In The Last Decade

Jordan S. Read

73 papers receiving 4.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Ecosystem Consequences of Changing Inputs of Terrestrial Dissolved Organic Matter to Lakes: Current Knowledge and Future Challenges

2015 421 citations Stuart E. Jones, Jordan S. Read et al. profile →
The metabolic regimes of flowing waters

2017 268 citations Emily S. Bernhardt, James B. Heffernan et al. Limnology and Oceanography profile →
Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles

2021 173 citations Xiaowei Jia, Jared Willard et al. profile →

Peers

Countries citing papers authored by Jordan S. Read

Since Specialization

Citations

This map shows the geographic impact of Jordan S. Read's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jordan S. Read with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jordan S. Read more than expected).

Fields of papers citing papers by Jordan S. Read

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jordan S. Read. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jordan S. Read. The network helps show where Jordan S. Read may publish in the future.

Co-authorship network of co-authors of Jordan S. Read

This figure shows the co-authorship network connecting the top 25 collaborators of Jordan S. Read. A scholar is included among the top collaborators of Jordan S. Read based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jordan S. Read. Jordan S. Read is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Changes in neurotensin signalling drive hedonic devaluation in obesity 2025 ·Nature ·(unknown),(unknown),(unknown),(unknown),Tamás Lukácsovich,Hongbin Yang,Jeroen P. H. Verharen,Christine Liu,(unknown),(unknown),Jordan S. Read,(unknown),Byung Kook Lim,Lin Tian,Csaba Földy,Stephan Lammel	7
2	Novel recurrent mutations and genetic diversity in Sudanese children with adrenal insufficiency 2025 ·European Journal of Endocrinology ·(unknown),Mohamed Ahmed Abdullah,(unknown),(unknown),Omer Babiker,(unknown),(unknown),Claire E. Hutchison,(unknown),Charlotte Hall,(unknown),(unknown),(unknown),Avinaash Maharaj,Leonardo Juan Ramírez López,Jordan S. Read,Li F. Chan,Louise Metherell,Chris Smith	1
3	Evaluating deep learning architecture and data assimilation for improving water temperature forecasts at unmonitored locations 2023 ·Frontiers in Water ·Jacob A. Zwart,(unknown),Scott D. Hamshaw,Samantha K. Oliver,(unknown),(unknown),Alison Appling,(unknown),Xiaowei Jia,Jordan S. Read,Jeffrey M. Sadler,Theodore J. Thompson,David S. Watkins,(unknown)	5
4	Multi‐Task Deep Learning of Daily Streamflow and Water Temperature 2022 ·Water Resources Research ·Jeffrey M. Sadler,Alison Appling,Jordan S. Read,Samantha K. Oliver,Xiaowei Jia,Jacob A. Zwart,Vipin Kumar	37
5	Near‐term forecasts of stream temperature using deep learning and data assimilation in support of management decisions 2022 ·JAWRA Journal of the American Water Resources Association ·Jacob A. Zwart,Samantha K. Oliver,W D Watkins,Jeffrey M. Sadler,Alison Appling,(unknown),Xiaowei Jia,Vipin Kumar,Jordan S. Read	16
6	Daily surface temperatures for 185,549 lakes in the conterminous United States estimated using deep learning (1980–2020) 2022 ·Limnology and Oceanography Letters ·Jared Willard,Jordan S. Read,Simon Topp,Gretchen J. A. Hansen,Vipin Kumar	28
7	Predicting Water Temperature Dynamics of Unmonitored Lakes With Meta‐Transfer Learning 2021 ·Water Resources Research ·Jared Willard,Jordan S. Read,Alison Appling,Samantha K. Oliver,Xiaowei Jia,Vipin Kumar	61
8	Nothing About Us Without Us: Using Participatory Action Research (PAR) and arts-based methods as empowerment and social justice tools in doing research with youth ‘aging out’ of care 2021 ·Child Abuse & Neglect ·(unknown),(unknown),(unknown),Jordan S. Read	28
9	Physics-Guided Machine Learning from Simulation Data: An Application in Modeling Lake and River Systems 2021 ·Xiaowei Jia,Yiqun Xie,Sheng Li,Shengyu Chen,Jacob A. Zwart,Jeffrey M. Sadler,Alison Appling,Samantha K. Oliver,Jordan S. Read	15
10	Metabolic rhythms in flowing waters: An approach for classifying river productivity regimes 2019 ·Limnology and Oceanography ·Philip Savoy,Alison Appling,James B. Heffernan,Edward G. Stets,Jordan S. Read,Judson W. Harvey,Emily S. Bernhardt	61
11	Cross‐Scale Interactions Dictate Regional Lake Carbon Flux and Productivity Response to Future Climate 2019 ·Geophysical Research Letters ·Jacob A. Zwart,(unknown),Jordan S. Read,Michael N. Fienen,Alan F. Hamlet,Diogo Bolster,Stuart E. Jones	13
12	Process‐Guided Deep Learning Predictions of Lake Water Temperature 2019 ·Water Resources Research ·Jordan S. Read,Xiaowei Jia,Jared Willard,Alison Appling,Jacob A. Zwart,Samantha K. Oliver,Anuj Karpatne,Gretchen J. A. Hansen,Paul C. Hanson,W D Watkins,Michael Steinbach,Vipin Kumar	262
13	A General Lake Model (GLM 3.0) for linking with high-frequency sensor data from the Global Lake Ecological Observatory Network (GLEON) 2019 ·Geoscientific model development ·Matthew R. Hipsey,Louise C. Bruce,(unknown),Brendan Busch,Cayelan C. Carey,David P. Hamilton,Paul C. Hanson,Jordan S. Read,Eduardo Sousa,Michael Weber,Luke Winslow	149
14	The metabolic regimes of flowing watersbreakdown → 2017 ·Limnology and Oceanography ·Emily S. Bernhardt,James B. Heffernan,Nancy B. Grimm,Emily H. Stanley,Judson W. Harvey,Maite Arroita,Alison Appling,Matthew J. Cohen,William H. McDowell,Robert O. Hall,Jordan S. Read,Brian J. Roberts,Edward G. Stets,Charles B. Yackulic	268
15	Generating community-built tools for data sharing and analysis in environmental networks 2016 ·UWA Profiles and Research Repository (University of Western Australia) ·Jordan S. Read,Corinna Gries,Emily K. Read,Jennifer L. Klug,Paul C. Hanson,Matthew R. Hipsey,Eleanor Jennings,Catherine M. O’Reilly,Luke Winslow,Donald C. Pierson,(unknown),David P. Hamilton	7
16	Consequences of gas flux model choice on the interpretation of metabolic balance across 15 lakes 2016 ·Inland Waters ·Hilary A. Dugan,R. Iestyn Woolway,(unknown),Jessica R. Corman,Aline Jaimes,Emily R. Nodine,Vijay P. Patil,Jacob A. Zwart,Jennifer A. Brentrup,Amy L. Hetherington,Samantha K. Oliver,Jordan S. Read,(unknown),Paul C. Hanson,Emily K. Read,Luke Winslow,Kathleen C. Weathers	21
17	Biogeomorphic classification and images of shorebird nesting sites on the U.S. Atlantic coast 2016 ·USGS DOI Tool Production Environment ·(unknown),E. Robert Thieler,Sara L. Zeigler,Luke Winslow,(unknown),Jordan S. Read,(unknown)	6
18	Meteorological drivers of hypolimnetic anoxia in a eutrophic, north temperate lake 2016 ·Ecological Modelling ·(unknown),Paul C. Hanson,Katherine D. McMahon,Jordan S. Read,Cayelan C. Carey,Hilary A. Dugan	69
19	Automated calculation of surface energy fluxes with high-frequency lake buoy data 2015 ·Environmental Modelling & Software ·R. Iestyn Woolway,Ian D. Jones,David P. Hamilton,Stephen C. Maberly,Kohji Muraoka,Jordan S. Read,Robyn L. Smyth,Luke Winslow	64
20	Enabling innovative research by supporting the life cycle of high frequency streaming sensor data in the Global Lake Ecological Observatory Network (GLEON) 2014 ·AGUFM ·Corinna Gries,Jordan S. Read,L. A. Winslow,Paul C. Hanson,Kathleen C. Weathers	1

About Jordan S. Read

Jordan S. Read is a scholar working on Oceanography, Environmental Chemistry and Nature and Landscape Conservation, having authored 73 papers that have together received 4.5k indexed citations. Recurring topics across this work include Marine and coastal ecosystems (25 papers), Fish Ecology and Management Studies (24 papers) and Hydrology and Watershed Management Studies (19 papers). The work is most often cited by research in Environmental Chemistry (1.7k citations), Oceanography (1.7k citations) and Nature and Landscape Conservation (1.4k citations). Jordan S. Read has collaborated with scholars based in United States, New Zealand and Australia. Frequent co-authors include Luke Winslow, Gretchen J. A. Hansen, Paul C. Hanson, Kevin C. Rose, Chin H. Wu, David P. Hamilton, Alison Appling, Jacob A. Zwart, Xiaowei Jia and Vipin Kumar. Their work appears in journals such as Nature, Neuron and PLoS ONE.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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