Jordan S. Read

9.8k total citations · 3 hit papers
73 papers, 4.5k citations indexed

About

Jordan S. Read is a scholar working on Oceanography, Nature and Landscape Conservation and Water Science and Technology. According to data from OpenAlex, Jordan S. Read has authored 73 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Oceanography, 24 papers in Nature and Landscape Conservation and 23 papers in Water Science and Technology. Recurrent topics in Jordan S. Read's work include Marine and coastal ecosystems (25 papers), Fish Ecology and Management Studies (24 papers) and Hydrology and Watershed Management Studies (19 papers). Jordan S. Read is often cited by papers focused on Marine and coastal ecosystems (25 papers), Fish Ecology and Management Studies (24 papers) and Hydrology and Watershed Management Studies (19 papers). Jordan S. Read collaborates with scholars based in United States, New Zealand and Australia. Jordan S. Read's 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 and has published in prestigious journals such as Nature, Neuron and PLoS ONE.

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 — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jordan S. Read United States	33	1.7k	1.7k	1.4k	1.4k	1.3k	73	4.5k
S. Geoffrey Schladow United States	36	1.3k 0.7×	1.4k 0.8×	783 0.6×	1.1k 0.8×	998 0.8×	100	4.4k
Evlyn Márcia Leão de Moraes Novo Brazil	37	548 0.3×	1.3k 0.8×	591 0.4×	1.7k 1.2×	1.3k 1.0×	174	4.8k
Barbara Robson Australia	27	712 0.4×	998 0.6×	382 0.3×	1.0k 0.8×	971 0.8×	91	3.3k
Vittorio Brando Australia	39	507 0.3×	3.8k 2.3×	218 0.2×	2.5k 1.9×	1.2k 0.9×	111	6.0k
Jian Shen United States	41	442 0.3×	2.7k 1.6×	248 0.2×	1.9k 1.4×	548 0.4×	181	5.1k
Martin Auer United States	35	1.5k 0.9×	856 0.5×	620 0.5×	931 0.7×	758 0.6×	132	3.9k
T. Meixner United States	40	1.2k 0.7×	216 0.1×	443 0.3×	1.4k 1.0×	2.8k 2.2×	139	5.9k
Xiaoling Chen China	34	397 0.2×	642 0.4×	208 0.2×	1.1k 0.8×	1.1k 0.9×	118	3.8k
Robert B. Cook United States	28	803 0.5×	290 0.2×	268 0.2×	850 0.6×	525 0.4×	160	3.4k
Rohini Kumar Germany	51	767 0.5×	368 0.2×	429 0.3×	559 0.4×	4.6k 3.7×	194	8.4k

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

Lukácsovich, Tamás, Hongbin Yang, Jeroen P. H. Verharen, et al.. (2025). Changes in neurotensin signalling drive hedonic devaluation in obesity. Nature. 641(8065). 1238–1247. 7 indexed citations

Abdullah, Mohamed Ahmed, Omer Babiker, Claire E. Hutchison, et al.. (2025). Novel recurrent mutations and genetic diversity in Sudanese children with adrenal insufficiency. European Journal of Endocrinology. 192(3). 277–289. 1 indexed citations

Zwart, Jacob A., Scott D. Hamshaw, Samantha K. Oliver, et al.. (2023). Evaluating deep learning architecture and data assimilation for improving water temperature forecasts at unmonitored locations. Frontiers in Water. 5. 5 indexed citations

Sadler, Jeffrey M., Alison Appling, Jordan S. Read, et al.. (2022). Multi‐Task Deep Learning of Daily Streamflow and Water Temperature. Water Resources Research. 58(4). 37 indexed citations

Zwart, Jacob A., Samantha K. Oliver, W D Watkins, et al.. (2022). Near‐term forecasts of stream temperature using deep learning and data assimilation in support of management decisions. JAWRA Journal of the American Water Resources Association. 59(2). 317–337. 16 indexed citations

Willard, Jared, Jordan S. Read, Simon Topp, Gretchen J. A. Hansen, & Vipin Kumar. (2022). Daily surface temperatures for 185,549 lakes in the conterminous United States estimated using deep learning (1980–2020). Limnology and Oceanography Letters. 7(4). 287–301. 28 indexed citations

Willard, Jared, Jordan S. Read, Alison Appling, et al.. (2021). Predicting Water Temperature Dynamics of Unmonitored Lakes With Meta‐Transfer Learning. Water Resources Research. 57(7). 61 indexed citations

Read, Jordan S., et al.. (2021). 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. Child Abuse & Neglect. 130(Pt 3). 105358–105358. 28 indexed citations

Jia, Xiaowei, Yiqun Xie, Sheng Li, et al.. (2021). Physics-Guided Machine Learning from Simulation Data: An Application in Modeling Lake and River Systems. 270–279. 15 indexed citations

10.

Savoy, Philip, Alison Appling, James B. Heffernan, et al.. (2019). Metabolic rhythms in flowing waters: An approach for classifying river productivity regimes. Limnology and Oceanography. 64(5). 1835–1851. 61 indexed citations

11.

Zwart, Jacob A., Jordan S. Read, Michael N. Fienen, et al.. (2019). Cross‐Scale Interactions Dictate Regional Lake Carbon Flux and Productivity Response to Future Climate. Geophysical Research Letters. 46(15). 8840–8851. 13 indexed citations

12.

Read, Jordan S., Xiaowei Jia, Jared Willard, et al.. (2019). Process‐Guided Deep Learning Predictions of Lake Water Temperature. Water Resources Research. 55(11). 9173–9190. 262 indexed citations

13.

Hipsey, Matthew R., Louise C. Bruce, Brendan Busch, et al.. (2019). A General Lake Model (GLM 3.0) for linking with high-frequency sensor data from the Global Lake Ecological Observatory Network (GLEON). Geoscientific model development. 12(1). 473–523. 149 indexed citations

14.

Bernhardt, Emily S., James B. Heffernan, Nancy B. Grimm, et al.. (2017). The metabolic regimes of flowing waters. Limnology and Oceanography. 63(S1). 268 indexed citations breakdown →

15.

Read, Jordan S., Corinna Gries, Emily K. Read, et al.. (2016). Generating community-built tools for data sharing and analysis in environmental networks. UWA Profiles and Research Repository (University of Western Australia). 7 indexed citations

16.

Dugan, Hilary A., R. Iestyn Woolway, Jessica R. Corman, et al.. (2016). Consequences of gas flux model choice on the interpretation of metabolic balance across 15 lakes. Inland Waters. 6(4). 581–592. 21 indexed citations

17.

Thieler, E. Robert, et al.. (2016). Biogeomorphic classification and images of shorebird nesting sites on the U.S. Atlantic coast. USGS DOI Tool Production Environment. 6 indexed citations

18.

Hanson, Paul C., et al.. (2016). Meteorological drivers of hypolimnetic anoxia in a eutrophic, north temperate lake. Ecological Modelling. 343. 39–53. 69 indexed citations

19.

Woolway, R. Iestyn, Ian D. Jones, David P. Hamilton, et al.. (2015). Automated calculation of surface energy fluxes with high-frequency lake buoy data. Environmental Modelling & Software. 70. 191–198. 64 indexed citations

20.

Gries, Corinna, Jordan S. Read, L. A. Winslow, Paul C. Hanson, & Kathleen C. Weathers. (2014). Enabling innovative research by supporting the life cycle of high frequency streaming sensor data in the Global Lake Ecological Observatory Network (GLEON). AGUFM. 2014. 1 indexed citations

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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