Emily K. Read

1.7k total citations · 1 hit paper
20 papers, 1.2k citations indexed

About

Emily K. Read is a scholar working on Environmental Chemistry, Nature and Landscape Conservation and Oceanography. According to data from OpenAlex, Emily K. Read has authored 20 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Environmental Chemistry, 6 papers in Nature and Landscape Conservation and 6 papers in Oceanography. Recurrent topics in Emily K. Read's work include Marine and coastal ecosystems (6 papers), Fish Ecology and Management Studies (6 papers) and Aquatic Ecosystems and Phytoplankton Dynamics (5 papers). Emily K. Read is often cited by papers focused on Marine and coastal ecosystems (6 papers), Fish Ecology and Management Studies (6 papers) and Aquatic Ecosystems and Phytoplankton Dynamics (5 papers). Emily K. Read collaborates with scholars based in United States, New Zealand and United Kingdom. Emily K. Read's co-authors include Paul C. Hanson, Kathleen C. Weathers, Katherine D. McMahon, Luke Winslow, Jordan S. Read, Patricia A. Soranno, Simon Goring, Christopher T. Filstrup, Kendra Spence Cheruvelil and Hilary A. Dugan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Water Research and Water Resources Research.

In The Last Decade

Emily K. Read

20 papers receiving 1.2k citations

Hit Papers

Iterative near-term ecological forecasting: Needs, opport... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emily K. Read United States 12 330 310 300 284 249 20 1.2k
Melissa A. Kenney United States 18 586 1.8× 258 0.8× 469 1.6× 326 1.1× 261 1.0× 43 1.6k
Jamon Van Den Hoek United States 22 570 1.7× 135 0.4× 466 1.6× 152 0.5× 133 0.5× 58 1.4k
Rajendra Poudel United States 4 383 1.2× 62 0.2× 257 0.9× 153 0.5× 81 0.3× 5 895
Manuel Maass Mexico 16 602 1.8× 69 0.2× 259 0.9× 255 0.9× 79 0.3× 40 1.2k
Cathy Conrad Canada 6 214 0.6× 43 0.1× 305 1.0× 113 0.4× 94 0.4× 7 1.1k
Elizabeth Smith United States 17 727 2.2× 118 0.4× 507 1.7× 298 1.0× 172 0.7× 48 1.7k
Mary E. Manning United States 7 582 1.8× 71 0.2× 326 1.1× 99 0.3× 113 0.5× 10 1.4k
Anne Whyte United States 7 1.5k 4.7× 72 0.2× 403 1.3× 234 0.8× 111 0.4× 11 2.2k
Adena R. Rissman United States 22 914 2.8× 88 0.3× 362 1.2× 245 0.9× 120 0.5× 65 1.5k
Courtney Scarborough United States 16 624 1.9× 28 0.1× 738 2.5× 135 0.5× 38 0.2× 23 1.4k

Countries citing papers authored by Emily K. Read

Since Specialization
Citations

This map shows the geographic impact of Emily K. 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 Emily K. Read with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emily K. Read more than expected).

Fields of papers citing papers by Emily K. Read

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emily K. 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 Emily K. Read. The network helps show where Emily K. Read may publish in the future.

Co-authorship network of co-authors of Emily K. Read

This figure shows the co-authorship network connecting the top 25 collaborators of Emily K. Read. A scholar is included among the top collaborators of Emily K. 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 Emily K. Read. Emily K. Read is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Nell, Colleen S., et al.. (2023). The water cycle. 1 indexed citations
2.
Kenney, Melissa A., Michael D. Gerst, & Emily K. Read. (2023). The usability gap in water resources open data and actionable science initiatives. JAWRA Journal of the American Water Resources Association. 60(1). 1–8. 1 indexed citations
3.
Montelpare, William, et al.. (2020). Working with Missing Data. 2 indexed citations
4.
Montelpare, William, et al.. (2020). Applied Statistics in Healthcare Research. 8 indexed citations
5.
Dietze, Michael C., A. M. Fox, Lindsay M. Beck‐Johnson, et al.. (2018). Iterative near-term ecological forecasting: Needs, opportunities, and challenges. Proceedings of the National Academy of Sciences. 115(7). 1424–1432. 393 indexed citations breakdown →
6.
Read, Emily K., et al.. (2017). Water quality data for national‐scale aquatic research: The Water Quality Portal. Water Resources Research. 53(2). 1735–1745. 144 indexed citations
7.
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
8.
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
9.
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. 37 indexed citations
10.
Read, Jordan S., Corinna Gries, Emily K. Read, et al.. (2016). Generating community-built tools for data sharing and analysis in environmental networks. Inland Waters. 6(4). 637–644. 6 indexed citations
11.
Read, Emily K., Michael O’Rourke, Paul C. Hanson, et al.. (2016). Building the team for team science. Ecosphere. 7(3). 56 indexed citations
12.
Blodgett, D. L., et al.. (2016). An Analysis of Water Data Systems to Inform the Open Water Data Initiative. JAWRA Journal of the American Water Resources Association. 52(4). 845–858. 16 indexed citations
13.
Read, Jordan S., Kevin C. Rose, Luke Winslow, & Emily K. Read. (2015). A method for estimating the diffuse attenuation coefficient (KdPAR) from paired temperature sensors. Limnology and Oceanography Methods. 13(2). 53–61. 8 indexed citations
14.
Read, Emily K., Vijay P. Patil, Samantha K. Oliver, et al.. (2015). The importance of lake‐specific characteristics for water quality across the continental United States. Ecological Applications. 25(4). 943–955. 107 indexed citations
15.
Read, Jordan S., et al.. (2015). geoknife: reproducible web‐processing of large gridded datasets. Ecography. 39(4). 354–360. 31 indexed citations
16.
Read, Emily K., Monika Ivancic, Paul C. Hanson, Barbara J. Cade‐Menun, & Katherine D. McMahon. (2014). Phosphorus speciation in a eutrophic lake by 31P NMR spectroscopy. Water Research. 62. 229–240. 80 indexed citations
17.
Li, Yu, et al.. (2014). Modelling the impact of microbial loop on aquatic food webs. UWA Profiles and Research Repository (UWA). 565–571. 2 indexed citations
18.
Cheruvelil, Kendra Spence, Patricia A. Soranno, Kathleen C. Weathers, et al.. (2014). Creating and maintaining high‐performing collaborative research teams: the importance of diversity and interpersonal skills. Frontiers in Ecology and the Environment. 12(1). 31–38. 196 indexed citations
19.
Rose, Kevin C., Luke Winslow, Jordan S. Read, et al.. (2014). Improving the precision of lake ecosystem metabolism estimates by identifying predictors of model uncertainty. Limnology and Oceanography Methods. 12(5). 303–312. 28 indexed citations
20.
McMahon, Katherine D. & Emily K. Read. (2013). Microbial Contributions to Phosphorus Cycling in Eutrophic Lakes and Wastewater. Annual Review of Microbiology. 67(1). 199–219. 77 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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