Daniel W. Pritchard

1.4k total citations
39 papers, 1.0k citations indexed

About

Daniel W. Pritchard is a scholar working on Ecology, Oceanography and Global and Planetary Change. According to data from OpenAlex, Daniel W. Pritchard has authored 39 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Ecology, 24 papers in Oceanography and 9 papers in Global and Planetary Change. Recurrent topics in Daniel W. Pritchard's work include Marine and coastal plant biology (21 papers), Coastal wetland ecosystem dynamics (13 papers) and Marine Biology and Ecology Research (12 papers). Daniel W. Pritchard is often cited by papers focused on Marine and coastal plant biology (21 papers), Coastal wetland ecosystem dynamics (13 papers) and Marine Biology and Ecology Research (12 papers). Daniel W. Pritchard collaborates with scholars based in New Zealand, Australia and United Kingdom. Daniel W. Pritchard's co-authors include Christopher D. Hepburn, Catriona L. Hurd, Rachel A. Paterson, Christopher E. Cornwall, Daniel Barrios‐O’Neill, John Beardall, John A. Raven, Rebecca J. McLeod, Christina M. McGraw and Kim Currie and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Ecology.

In The Last Decade

Daniel W. Pritchard

37 papers receiving 1.0k citations

Peers

Daniel W. Pritchard
Hannah L. Stewart United States
Zachary T. Long United States
Bart T. De Stasio United States
Paul M. South New Zealand
D. J. de Jong Netherlands
Susan W. Vince United States
Hannah L. Stewart United States
Daniel W. Pritchard
Citations per year, relative to Daniel W. Pritchard Daniel W. Pritchard (= 1×) peers Hannah L. Stewart

Countries citing papers authored by Daniel W. Pritchard

Since Specialization
Citations

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

Fields of papers citing papers by Daniel W. Pritchard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel W. Pritchard. 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 Daniel W. Pritchard. The network helps show where Daniel W. Pritchard may publish in the future.

Co-authorship network of co-authors of Daniel W. Pritchard

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel W. Pritchard. A scholar is included among the top collaborators of Daniel W. Pritchard 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 Daniel W. Pritchard. Daniel W. Pritchard 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.
Kotta, Jonne, et al.. (2025). Comparative analysis of top-down and bottom-up approaches in maritime spatial planning. Regional Studies in Marine Science. 88. 104257–104257.
2.
Sainsbury, Keith, et al.. (2024). Re‐assessment of a blackfoot abalone ( Haliotis iris ) population in Peraki Bay, New Zealand, after 45 years. New Zealand Journal of Marine and Freshwater Research. 59(1). 164–182.
3.
Hepburn, Christopher D., Jonne Kotta, Tiina Paalme, et al.. (2023). Species-specific responses of macrophyte production to the increasing CO2 environment with potential ecosystem implications involved in the Baltic Sea. Journal of Applied Phycology. 36(2). 983–994. 1 indexed citations
4.
Buschmann, Alejandro H., et al.. (2022). Reproduction, hatchery and culture applications for the giant kelp (Macrocystis pyrifera): a methodological appraisal. SHILAP Revista de lepidopterología. 3(1). 368–382. 8 indexed citations
5.
James, Rebecca K., et al.. (2022). Water motion and pH jointly impact the availability of dissolved inorganic carbon to macroalgae. Scientific Reports. 12(1). 21947–21947. 8 indexed citations
6.
Pritchard, Daniel W., et al.. (2022). Effect of temperature on sporulation and spore development of giant kelp (Macrocystis pyrifera). PLoS ONE. 17(12). e0278268–e0278268. 11 indexed citations
7.
Baltar, Federico, et al.. (2020). Reducing the arbitrary: fuzzy detection of microbial ecotones and ecosystems – focus on the pelagic environment. Environmental Microbiome. 15(1). 16–16. 5 indexed citations
8.
Garbary, David J., Roberta D’Archino, Christopher D. Hepburn, et al.. (2019). First record of Bonnemaisonia hamifera (Bonnemaisoniales, Rhodophyta) in the South Pacific, from the South Island of New Zealand. New Zealand Journal of Marine and Freshwater Research. 54(2). 167–176. 9 indexed citations
9.
Pritchard, Daniel W., et al.. (2019). Whole community estimates of macroalgal pigment concentration within two southern New Zealand kelp forests1. Journal of Phycology. 55(4). 936–947. 5 indexed citations
10.
Schuchert, Pia, Louise Kregting, Daniel W. Pritchard, Graham Savidge, & Björn Elsäßer. (2018). Using Coupled Hydrodynamic Biogeochemical Models to Predict the Effects of Tidal Turbine Arrays on Phytoplankton Dynamics. Journal of Marine Science and Engineering. 6(2). 58–58. 14 indexed citations
11.
Pritchard, Daniel W., et al.. (2017). Light dose versus rate of delivery: implications for macroalgal productivity. Photosynthesis Research. 132(3). 257–264. 11 indexed citations
12.
Schuchert, Pia, Louise Kregting, Daniel W. Pritchard, Graham Savidge, & Björn Elsäßer. (2016). Using coupled hydrodynamic biogeochemical models to predict the effects of tidal turbine arrays on phytoplankton dynamics. 2 indexed citations
13.
Schuchert, Pia, et al.. (2015). Simulating ecological changes caused by marine energy devices. EGUGA. 12211. 1 indexed citations
14.
Pritchard, Daniel W., et al.. (2015). Light Limitation within Southern New Zealand Kelp Forest Communities. PLoS ONE. 10(4). e0123676–e0123676. 59 indexed citations
15.
Pritchard, Daniel W., Catriona L. Hurd, John Beardall, & Christopher D. Hepburn. (2015). Restricted use of nitrate and a strong preference for ammonium reflects the nitrogen ecophysiology of a light‐limited red alga. Journal of Phycology. 51(2). 277–287. 35 indexed citations
16.
Lee, William G., et al.. (2014). Turf wars: experimental tests for alternative stable states in a two‐phase coastal ecosystem. Ecology. 95(2). 411–424. 6 indexed citations
17.
Pritchard, Daniel W., Graham Savidge, & Björn Elsäßer. (2013). Coupled hydrodynamic and wastewater plume models of Belfast Lough, Northern Ireland: A predictive tool for future ecological studies. Marine Pollution Bulletin. 77(1-2). 290–299. 6 indexed citations
18.
Cornwall, Christopher E., Christopher D. Hepburn, Daniel W. Pritchard, et al.. (2011). CARBON‐USE STRATEGIES IN MACROALGAE: DIFFERENTIAL RESPONSES TO LOWERED PH AND IMPLICATIONS FOR OCEAN ACIDIFICATION1. Journal of Phycology. 48(1). 137–144. 149 indexed citations
19.
Hurd, Catriona L., et al.. (2011). Photosynthetic response of monospecific macroalgal stands to density. Aquatic Biology. 13(1). 41–49. 27 indexed citations
20.
Kennett, Rod, Keith A. Christian, & Daniel W. Pritchard. (1993). Underwater Nesting by the Tropical Fresh-Water Turtle, Chelodina-Rugosa (Testudinata, Chelidae). Australian Journal of Zoology. 41(1). 47–52. 31 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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